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Doximity is the leading clinical AI company with the largest network of U.S. clinicians. Doximity’s AI-powered workflow platform is trusted by over 85% of U.S. physicians and 300+ health systems. Doximity’s mission is to help clinicians be more productive so they can provide better care for their patients.

At Doximity, we value curiosity, ownership, inclusion, and a commitment to making a meaningful impact. If you’re excited about solving complex problems that improve healthcare, we’d love to hear from you.

This role can be filled in the Northeast (New York, NJ, Philadelphia, Boston), our San Francisco headquarters, OR other remote locations in the U.S.

As a Senior Statistician, you’ll work within a cross-functional team alongside other analysts, data-scientists, engineers, and commercial stakeholders in generating actionable insights to help improve healthcare.

How you’ll make an impact:

• Take ownership and evolve our existing program impact measurement capabilities, built in-house and in partnership with third-party experts such as IQVIA.
• Develop and maintain  analytically rigorous program performance benchmarks.
• Discuss standard and bespoke measurement methodologies with clients during pre-sale and present analysis results to brand marketing team as well as client analytics team
• Mentor and help Business Analytics Managers with interpreting measurement results, identifying actionable insights and preparing for client discussions leading to increased sale and renewals
• Serve as statistical consultant and provide guidance to Data-Science team for advanced modeling
• Help implement and scale survey /  market research based measurement capabilities
• Manage vendor relationships for third party data procurement.

The Core Values of the Client Intelligence team

As an organization we value diversity - in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build a better future for all. Below are additional core values specific to the Insights Team.

• Collaboration—The best candidates and teammates are not only strong in their own aptitudes but care deeply about supporting each other’s growth.
• Passion for Data—You’re going to help our clients and team members with data-driven decision making. We need someone that can manipulate millions of rows of data and also ask the right questions to find the important insights.
• Reliability – Our team is efficient, flexible, and agile only because we trust the reliability of each member. We need self-starters and goal-oriented individuals for our continued success.
• Curiosity – Continuous learning is a cornerstone at Doximity, and curious individuals thrive in our environment. We’re looking for someone who is curious enough about data to go above-and-beyond the task for the true insight.
• Respect – A key dynamic that allows our team to flourish is respect: for ourselves and our quality of work, for our teammates, and for our internal clients who are under the pressure of deadlines and finance goals.

About you:

• 10+ years of professional experience in a quantitative or statistical role (e.g., statistician, biostatistician), within healthcare, pharma, or a related industry.
• Hands on experience with statistical methodologies and techniques such as test-vs-control study designs, covariate adjustment methods (e.g., ANCOVA), clustering, etc.
• Strong context into HCP prescription and claims data, including how they’re recorded and tracked by data vendors, what they represent, and typical data gaps.
• Advanced SQL and python proficiency including writing complex queries across multiple tables and familiarity with data science libraries
• Experience working with third party analytics vendors such as IQVIA, including running independent studies, engaging in RFPs and contract discussions, and maintaining relationships.
• Experience applying data science techniques such as clustering and machine learning to sponsored engagement, using Rx and Dx data to measure impact.
• Experience representing yourself externally and leading client conversations around program performance analysis.

Fun Facts About the Client Intelligence team

• We have access to one of the richest healthcare datasets in the world, with deep information on hundreds of thousands of clinicians and their connections.
• Business decisions at Doximity are driven by our data, analyses, and insights.
• The members of our team bring a diverse set of technical and cultural backgrounds.
• We like to have fun - company outings, team lunches, and other social events!

Compensation

The anticipated total compensation for this role is $151,000 - $207,000, depending on factors such as experience, skills, location, and internal equity. Our total compensation package may include:

• Base salary
• Equity (where applicable)
• Annual bonus or incentive compensation (where applicable)

Specific compensation details will be discussed during the interview process.

Benefits

In addition to competitive compensation, Doximity offers a comprehensive benefits package for full time employees. Some of our offerings include:

• Medical, dental, and vision insurance
• 401(k) with company match
• Flexible paid time off and company holidays
• Paid parental leave
• Professional development and learning opportunities
• Wellness and mental health resources
• Remote work support and home office stipend (where applicable)

Why You’ll Love Working Here

At Doximity, you’ll join a mission-driven company where your work has a meaningful impact on healthcare. We believe great ideas come from empowered teams, and we’re committed to creating an environment where people can do their best work.

• Make a real impact. Help build products that support over a million healthcare professionals and ultimately improve patient care.
• Work with exceptional teammates. Collaborate with thoughtful, talented colleagues who value curiosity, humility, and continuous learning.
• Enjoy flexibility and trust. We support flexible ways of working and empower employees with the autonomy to own their work.
• Grow your career. Take on meaningful challenges, develop new skills, and shape your career through mentorship and professional development.
• Bring your authentic self. We’re committed to fostering an inclusive culture where diverse perspectives are welcomed, respected, and celebrated.

Our Hiring Process & AI Tools

Doximity may use artificial intelligence (AI)-enabled tools throughout the hiring process to help improve the candidate experience and support our recruiting team. These tools may assist with administrative tasks such as scheduling, general communication, interview coordination, note-taking, or summarizing interview feedback. Human recruiters and hiring managers make all hiring decisions. We are committed to using AI responsibly, transparently, and in accordance with applicable laws.

Equal Employment Opportunity

Doximity is proud to be an Equal Opportunity Employer. We are committed to creating an inclusive workplace where everyone can thrive. We consider all qualified applicants without regard to race, color, religion, creed, sex, gender identity or expression, sexual orientation, national origin, ancestry, age, disability, veteran status, genetic information, marital status, or any other characteristic protected by applicable federal, state, or local law.

If you require a reasonable accommodation during the application or interview process, please let us know so we can support your participation.

Company Description At Docplanner Group, we’re on a mission to help people live longer, healthier lives. As the world’s largest healthcare platform, each month, we connect 24 million patients with...

Company Description At Docplanner Group, we’re on a mission to help people live longer, healthier lives. As the world’s largest healthcare platform, each month, we connect 24 million patients with...

This position is fully remote. All applicants must live and work in the United States.

We are TAG, a digital agency that helps top-tier brands create beautiful digital experiences that drive performance. We’re looking for a Senior Digital Analyst to help lead our growing analytics practice. This role is for someone who is equal parts technical expert and trusted advisor: comfortable in GA4, GTM, BigQuery, and Shopify, and just as comfortable telling a CMO what the data means and what to do next.

You are curious, decisive, and data-driven. You define what clients should measure and why, diagnose implementation issues, and turn findings into clear, prioritized recommendations. You keep up with where measurement is heading, from server-side tagging and attribution to privacy legislation and AI, and you want to help shape how our analytics offering grows.

What You’ll Do

• Lead measurement strategy for clients: define KPIs, measurement plans, and how data should inform business decisions.
• Lead analytics audits of tracking implementations (GA4, GTM, server-side tagging, Shopify Customer Events, Amplitude, Triple Whale, etc.) and identify gaps in data accuracy, visibility, and compliance.
• Own implementation specifications, QA, and post-launch monitoring, including data layer design, event modeling, UTM taxonomy, BigQuery integration, and proactive alerting.
• Lead client calls and present findings with a clear point of view: what we found, what we recommend, why it matters, and who owns the next step.
• Shape CRO and experimentation strategy using analytics, heatmapping, and behavioral data.
• Advise on attribution and multi-touch journeys, including reconciling platform-reported revenue across channels.
• Provide a strategic POV on consent and privacy compliance, partnering with developers and client legal teams (OneTrust, cookie banners, data retention, state privacy laws).
• Partner with development, design, media, and client services teams, and make ownership clear across TAG, clients, and media partners.
• Partner on large-scale migrations and redesigns, ensuring tracking continuity and analytics parity post-launch.
• Help build the practice: standardize deliverables and processes, refine our tool stack, use AI to accelerate delivery, and support sales with scoping and pitches.

You Might Be a Great Fit If You…

• Have 7+ years of experience in analytics, measurement strategy, or digital strategy, ideally within an agency or consulting environment.
• Are fluent in GA4, Tag Manager (client and server side), and BigQuery, with ecommerce analytics experience.
• Lead with the answer: you can explain a complex issue in plain language and make a clear recommendation.
• Are confident leading client and prospect conversations, asking smart questions, and guiding decisions.
• Understand consent management platforms and privacy frameworks (GDPR, CCPA, CPRA, and emerging state laws) in practical detail.
• Have a POV on attribution, off-site customer journeys, and how AI is changing search and shopping behavior.
• Like building repeatable processes and documentation that make a team better.
• Are energized by a small, fast-moving team and a mix of B2B and DTC clients across industries.
• You’ve worked in Shopify or Drupal, including headless builds.
• Bonus: You’ve mentored analysts or helped build an analytics service offering.
• Bonus: You’ve developed process to integrate AI into your workflow.

Why TAG?

We’re a collaborative, nimble team that believes in the power of design, development, and data to build better digital experiences. We care deeply about the work we do, the clients we support, and the people we work alongside. At TAG, you’ll have the opportunity to grow your skills in analytics, marketing, and strategy while helping shape how we evolve our offerings.

Benefits and Perks

• 100% employer paid health, vision and dental insurance
• Life and short-term disability insurance
• Paid parental leave
• Family First PTO Bank
• 100% remote
• Flex Fridays
• Paid vacation
• 401(k) with up to 4% match
• Charitable matches and/or community service hours
• End of year merit-based bonuses
• Annual company retreat with absolutely no trust falls
• Company culture events such as trivia and team lunches
• Professional development budget

About Third and Grove

Third and Grove is a fully remote full-service digital agency. Our vision is to use technology and design to make the web worth browsing. We want to leave the web better than we found it. TAG team members strive to embody our core values, leading with empathy and practicing accountability, excellence, integrity and curiosity -in everything we do.

EEO Statement:

Third and Grove provides equal employment opportunity to all qualified individuals without regard to age, color, disability, gender, marital status, national origin, race, religion, sexual orientation, gender identity and expression, physical or mental disability, protected veteran, genetic predisposition or carrier status, or any other characteristic protected by law.

Diversity Statement: Third and Grove’s vision is to leave the web better than we found it. Our diversity, equity and inclusion initiatives play a significant role in that. As an equal opportunity employer, we are working to ensure we both grow and maintain a team of individuals from varying backgrounds and perspectives. People are at the center of everything we do, and we want to encourage our staff to bring their authentic selves to work, so that we can learn from each other and better serve our clients, our communities, and the world.

We encourage you to apply even if you don’t match 100% of the criteria.

About Northbeam

Northbeam is building the world’s most advanced marketing intelligence platform, providing top eCommerce brands a unified view of their business data through powerful attribution modeling and customizable dashboards. Our technology helps customers accurately track ad spend, understand the full customer journey, and drive profitable growth. Machine learning has been at the heart of Northbeam since day one: our full suite of measurement, spanning multi-touch attribution, MMM+, and incrementality, is built on it, along with laser-accurate first-party data. Now we’re taking that foundation further, using AI to help brands operationalize their data and turn Northbeam insights into automated decisions.

We’re experiencing rapid growth, have strong product-market fit, and are looking for the right people to help us scale. This is a rare chance to make a meaningful impact at a fast-moving, high-growth company. At Northbeam, you’ll join a team of driven, collaborative, and talented individuals who value personal growth and excellence. We’d love for you to be part of our journey.

We’re a remote-friendly company with physical offices in San Francisco and Los Angeles.

About the Role

We are seeking a Data Scientist as a foundational member of our new “Applied Measurement” team.  In this role, you will help scale Northbeam’s incrementality and measurement products directly with customers, to help customers answer some of their most important marketing measurement questions.  You’ll work at the intersection of data science, causal inference, predictive modeling, and customer problems, contributing across Northbeam’s measurement products.  This can include experimentation and incrementality products, Marketing Mix Modeling (MMM), and other predictive or machine learning products.

This is an applied Data Science role with direct exposure to real-world customer problems.  You’ll work closely with experienced Data Scientists and cross-functional partners across Media Strategy, Customer Success, Product, and Engineering.  As you develop deeper product and methodological expertise, you’ll have opportunities to contribute to new methodology, tooling, and scalable measurement capabilities.  You will also act as a trusted technical partner to clients: explaining statistical methodology, diagnosing measurement issues in their specific account, and clearly communicating experimentation results to drive actionable recommendations.

This role emphasizes customer partnership and applied communication as much as statistical methodology and production rigor.  The ideal candidate combines strong statistical foundations with a service-oriented mindset, and is comfortable moving between modeling, software development, and direct customer conversations.

Your Impact

• Partner with customers and internal teams to understand important marketing measurement questions and translate them into data science problems.
• Work with real-world customer data to ensure it is reliable and appropriate for modeling and measurement.
• Analyze model and experiment results, investigate unexpected outcomes, and identify potential data, modeling, or measurement issues.
• Translate complex statistical and modeling results into clear insights and actionable recommendations.
• Partner with Senior Data Scientists on more complex methodological and modeling problems. Collaborate with cross-functional peers to support clients with the practical application.
• Identify recurring challenges and opportunities to improve our models, diagnostics, tooling, and processes.
• Build reusable analysis and diagnostic tools that make measurement more reliable and scalable.
• As you grow in the role, contribute to the development of new methodologies, models, and production measurement capabilities.

What You Bring

• Bachelor’s degree (MS preferred) in Computer Science, Statistics, Mathematics, Engineering, or another highly quantitative field.
• 2+ years of experience building and deploying data science, machine learning, or AI systems in production, ideally including direct client- or customer-facing work.
• Strong foundation in statistics, machine learning, experimentation, and causal inference, with genuine enthusiasm for explaining these methods to non-technical audiences.
• Excellent verbal and written communication skills—comfortable leading a customer conversation, explaining a modeling tradeoff to a non-technical stakeholder, and writing up findings clearly.
• Strong coding and debugging skills, with the ability to write production-quality code and diagnose issues across the full stack, including source data, pipelines, model logic, and customer-facing outputs.
• A service-oriented mindset: energized by direct, hands-on customer problem-solving, not only methodology for its own sake.
• Comfortable working in a fast-paced startup environment and driving projects from concept to production with a high degree of autonomy.
• Growth mindset, intellectual curiosity, and a willingness to learn new domains, customer verticals, and measurement methodologies.
• Strong preference for candidates with a robust statistical background and prior experience in digital marketing or eCommerce analytics.

Base Salary Range

$130,000—$160,000 USD

Actual compensation may vary based on experience, skills, and location.

In addition to your base salary, we offer an equity package, comprehensive healthcare benefits (medical, dental, and vision), and a 401(k) plan. Our team enjoys a flexible PTO policy, 12 company-paid holidays, and 12 weeks of paid parental leave. We also provide a $500 work-from-home stipend to support your remote setup.

Interview Process

The interview process varies by role but typically begins with a 30-minute interview with a Northbeam recruiter, followed by a video interview with the hiring manager. Next, candidates complete a role-specific video interview followed by video or onsite interviews with several team members. The final step is a video interview with our CEO/Co-founder. The entire interview process is usually 5-7 interviews total and requires around 5-8 hours of your time.

We accept applications on an ongoing basis.

Excella is a transformative technology firm that helps organizations unlock new possibilities. We believe the key to helping clients challenge the status quo and reach new heights lies in our talented people. That’s why we’re committed to developing talent and providing opportunities for career growth at every stage. Join our collaborative team dedicated to solving complex problems with sustainable solutions while building your future as a leader. At Excella, you’re empowered to make lasting impact, turning today’s challenges into tomorrow’s mission successes.

• Workplace locations look different for everyone. Excellians are a distributed workforce and whether you’re working from your home office or a client site, we support a flexible work/life integration regardless of your location.
• We offer top of industry medical, dental, and vision benefits with multiple options to choose from such as an employer-contributed health savings account, infertility coverage, and orthodontia so you can select the plan that works best for you.
• Regardless of what stage of life you’re in, Excella wants to support you. We provide 8 weeks of Parental Leave, discounted pet insurance, and a Care.com membership with 3 back-up emergency child or elder care days annually – all available to you on your first day.
• Starting day one, every employee is bonus eligible and receives 15 days of paid vacation, 6 federal holidays, and 4 floating holidays.
• Doing your best work means having the best tools! Excella’s TechEleX program provides you with multiple options to suit your technology needs. Choose between a variety of Mac or PC devices, and to ensure your hardware remains current, at the end of a 3-year period Excella will replace your existing computer with a new model from the program. Plus, we’ll even give you the original device to keep for your personal use!
• With Excella’s Annual Internet Reimbursement benefit, all employees receive an additional $25 per month to help offset the cost of internet access. This initiative reflects our commitment to supporting you in staying connected and productive, no matter where you work.
• We’ll invest in your career by providing 3 days of paid professional development every year, including an allowance for registration fees to attend classes, conferences, or obtain professional certifications.
• We encourage mindfulness and overall well-being through employee wellness events, a HeadSpace membership, as well as access to TalkSpace and mental health coverage through our medical plans.

Overview

We are seeking a seasoned Lead Data Analyst who will not only deliver high-quality data analysis and insights but also mentor and guide junior analysts within the team. This role requires a balance of hands-on technical expertise and leadership skills to drive data-driven decision-making processes across our client engagements. The Lead Data Analyst will be responsible for ensuring data integrity, optimizing data models, and supporting cross-functional teams with critical insights.

Responsibilities

• Lead the analysis and interpretation of data to drive strategic business decisions.

• Serve as a mentor and coach to junior data analysts, fostering their professional development.

• Partner with stakeholders to define data-driven solutions that align with business objectives.

• Design and implement robust data models and architecture to support business needs.

• Develop advanced SQL queries to extract, transform, and analyze data efficiently.

• Oversee the creation and optimization of dashboards, reports, and data visualizations.

• Ensure best practices in data governance, quality assurance, and security compliance.

• Drive the adoption of new data analysis tools and methodologies.

• Collaborate with data engineers and data scientists to improve data pipelines and accessibility.

• Communicate complex data insights to executive stakeholders in a clear and actionable manner.

• Lead Agile data analysis initiatives, ensuring alignment with overall business strategy.

Qualifications

• 6+ years of experience in data analysis or related fields.

• Expert SQL skills, including query optimization and data transformation.

• Extensive experience with Data Visualization tools such as Tableau or Power BI.

• Strong understanding of cloud analytics products such as Google Cloud, AWS, or Microsoft Azure.

• Proven experience applying statistical techniques to drive business insights.

• Exceptional problem-solving skills and ability to manage ambiguity.

• Strong verbal and written communication skills; able to engage with senior stakeholders.

• Experience leading teams and mentoring junior analysts.

• Hands-on experience with Agile methodologies and backlog management tools (JIRA, Confluence, etc.).

• Ability to develop and present executive-level data reports and recommendations.

• Proficiency in Python or R for data analysis is a plus.

This range represents the minimum and maximum base salary that Excella reasonably and in good faith expects to pay for this role. Actual compensation within the range will depend on factors such as skills, experience, training, certifications, and organizational needs. It is not typical for an individual to be hired at or near the top or bottom of the range.

Your pay also includes the opportunity for an annual bonus in addition to the base salary. This variable pay opportunity is dependent upon the attainment of shared firmwide goals and objectives as determined by Excella’s Executive Team. Certain eligibility and pro-ration rules apply.

Should your experience and knowledge qualify you for a different position or title within Excella, we may consider you for positions that better align with your qualifications. In that case, we will provide the range for those positions as well.

Pay Range

$125,000—$182,000 USD

Excella is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. Excella is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation to participate in the job application or interview process, contact Recruiting@excella.com or 703-840-8600.

KNOW YOUR RIGHTS

The Role We Need PadSplit runs on data, from Growth and Operations to Product and Finance, and we need someone who can turn that data into clear, trustworthy decisions. We’re...

The Role We Need PadSplit runs on data, from Growth and Operations to Product and Finance, and we need someone who can turn that data into clear, trustworthy decisions. We’re...

Commercial Data Scientist

Doximity is the leading clinical AI company with the largest network of U.S. clinicians. Doximity’s AI-powered workflow platform is trusted by over 85% of U.S. physicians and 300+ health systems. Doximity’s mission is to help clinicians be more productive so they can provide better care for their patients.

At Doximity, we value curiosity, ownership, inclusion, and a commitment to making a meaningful impact. If you’re excited about solving complex problems that improve healthcare, we’d love to hear from you.

This role can be filled in the Northeast (New York, NJ, Philadelphia, Boston), our San Francisco headquarters, OR other remote locations in the U.S.

As a Commercial Data Scientist, you’ll work within cross-functional delivery teams alongside other analysts, engineers, and commercial stakeholders in discovering data insights to help improve healthcare.

How you’ll make an impact:

• Deliver novel and impactful insights for client organizations using machine learning and AI technologies.
• Work closely with our Product, Platform Data, Insights & Strategy, and Sales teams to create client-facing analyses.
• Showcase your engineering skills by creating data products from scratch and automating code so they can be re-used by other teammates and future projects.
• Leverage Doximity’s extensive datasets to identify and classify behavioral patterns of medical professionals on our platform.
• Embrace the challenge of a fast-paced environment to exceed client expectations

The Core Values of the Client Intelligence team

As an organization we value diversity - in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build a better future for all. Below are additional core values specific to the Insights Team.

• Collaboration—The best candidates and teammates are not only strong in their own aptitudes but care deeply about supporting each other’s growth.
• Passion for Data—You’re going to help our clients and team members with data-driven decision making. We need someone that can manipulate millions of rows of data and also ask the right questions to find the important insights.
• Reliability – Our team is efficient, flexible, and agile only because we trust the reliability of each member. We need self-starters and goal-oriented individuals for our continued success.
• Curiosity – Continuous learning is a cornerstone at Doximity, and curious individuals thrive in our environment. We’re looking for someone who is curious enough about data to go above-and-beyond the task for the true insight.
• Respect – A key dynamic that allows our team to flourish is respect: for ourselves and our quality of work, for our teammates, and for our internal clients who are under the pressure of deadlines and finance goals.

About you:

• At least 4 years of professional experience as a Data Scientist or other related roles working with complex, high-volume, structured and unstructured datasets.
• Prior experience in a data science consulting role at firms such as ZS, Trinity, IQVIA, BlueMatter, etc., where you thrived in a fast-paced environment
• Advanced knowledge of statistical concepts — particularly exploratory data analysis, experimental design, and probability theory.
• Deep understanding of modern machine learning techniques
• Proven ability to design, train, and evaluate large-scale production models using frameworks such as PyTorch or TensorFlow.
• Advanced SQL proficiency — skilled at writing and optimizing complex queries across multiple tables and data relationships.
• Advanced Python skills, including understanding of object-oriented programming, production-grade code design, and modern data science libraries.
• Hands-on experience with distributed data processing tools and concepts for scalable analysis and model training.
• Excellent data visualization and storytelling abilities, with the capacity to translate technical insights into clear, compelling narratives for internal and client stakeholders.
• Curious, fast learner with a demonstrated passion for data, continuous learning, and staying current with advances in machine learning research.

Fun Facts About the Client Intelligence team

• We have access to one of the richest healthcare datasets in the world, with deep information on hundreds of thousands of clinicians and their connections.
• Business decisions at Doximity are driven by our data, analyses, and insights.
• The members of our team bring a diverse set of technical and cultural backgrounds.
• We like to have fun - company outings, team lunches, and other social events!

Compensation

The anticipated total compensation for this role is $119,333 - $172,800 depending on factors such as experience, skills, location, and internal equity.

Our total compensation package may include:

• Base salary
• Equity (where applicable)
• Annual bonus or incentive compensation (where applicable)

Specific compensation details will be discussed during the interview process.

Benefits

In addition to competitive compensation, Doximity offers a comprehensive benefits package for full time employees. Some of our offerings include:

• Medical, dental, and vision insurance
• 401(k) with company match
• Flexible paid time off and company holidays
• Paid parental leave
• Professional development and learning opportunities
• Wellness and mental health resources
• Remote work support and home office stipend (where applicable)

Why You’ll Love Working Here

At Doximity, you’ll join a mission-driven company where your work has a meaningful impact on healthcare. We believe great ideas come from empowered teams, and we’re committed to creating an environment where people can do their best work.

• Make a real impact. Help build products that support over a million healthcare professionals and ultimately improve patient care.
• Work with exceptional teammates. Collaborate with thoughtful, talented colleagues who value curiosity, humility, and continuous learning.
• Enjoy flexibility and trust. We support flexible ways of working and empower employees with the autonomy to own their work.
• Grow your career. Take on meaningful challenges, develop new skills, and shape your career through mentorship and professional development.
• Bring your authentic self. We’re committed to fostering an inclusive culture where diverse perspectives are welcomed, respected, and celebrated.

Our Hiring Process & AI Tools

Doximity may use artificial intelligence (AI)-enabled tools throughout the hiring process to help improve the candidate experience and support our recruiting team. These tools may assist with administrative tasks such as scheduling, general communication, interview coordination, note-taking, or summarizing interview feedback. Human recruiters and hiring managers make all hiring decisions. We are committed to using AI responsibly, transparently, and in accordance with applicable laws.

Equal Employment Opportunity

Doximity is proud to be an Equal Opportunity Employer. We are committed to creating an inclusive workplace where everyone can thrive. We consider all qualified applicants without regard to race, color, religion, creed, sex, gender identity or expression, sexual orientation, national origin, ancestry, age, disability, veteran status, genetic information, marital status, or any other characteristic protected by applicable federal, state, or local law.

If you require a reasonable accommodation during the application or interview process, please let us know so we can support your participation.

Headquarters: CRI - Remote

From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.

About Us

Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.

Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.

Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.

As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.

During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

We’re looking for a an Analyst to join our GTM Analytics team, where we turn data into the insights that shape decisions across Sales, Strategy, RevOps, Marketing, Deal Desk, and more. Most of your work will be answering business questions directly — pulling and structuring data, summarizing it clearly, and delivering a recommendation. When a request genuinely calls for a dashboard, you'll help scope the requirements and hand them off to our central data team to build.

In this role, you'll work on well-scoped, clearly framed requests — writing SQL to pull data, looking up how a metric is already built in Looker or Omni when one exists, using Claude to refine and debug your queries, and shaping the output in Excel or Google Sheets into something a stakeholder can act on. This is a developmental role: as you build experience, you'll take on progressively more ambiguous and higher-stakes requests.

This is a full-time position based out of our Costa Rica office.

Technologies You’ll Use

SQL, Excel and/or Google Sheets (pivot tables, lookups, formulas), Claude (or similar AI assistants), Salesforce (viewing/reading data) — exposure to BI tools like Looker, Omni, Sigma, or Hex is a plus

What You’ll Do

• Write and adapt SQL queries against well-defined requests, using Claude to refine logic and troubleshoot errors
• Look up existing metrics in Looker or Omni to understand how they're already built, and reuse that logic where it applies
• Pull, clean, and structure data in Excel or Google Sheets to answer scoped stakeholder questions
• Summarize findings into clear, plain-language takeaways for non-technical stakeholders
• Validate data accuracy against source systems before sharing outputs
• Ask clarifying questions to properly scope a request before starting work
• Escalate requests that require deeper analytical judgment to senior team members
• Maintain documentation of recurring requests and their underlying logic
• Support ad hoc reporting needs across Sales, Strategy, RevOps, Marketing, Deal Desk, among others
• Build working knowledge of dbt Labs' GTM data model (Salesforce objects, opportunity stages, fiscal calendar)

Skills We’re Looking For

• Working knowledge of SQL (SELECT, JOIN, GROUP BY, basic aggregate functions)
• Comfortable using AI tools like Claude to write, debug, or refine queries and analysis
• Advanced Excel and/or Google Sheets skills (pivot tables, lookups, formulas)
• Clear written and verbal communication skills in English
• Basic understanding of SaaS sales concepts (opportunity stages, pipeline)
• Strong attention to detail and a habit of checking your own work
• Comfortable asking questions rather than guessing at ambiguous requests
• Comfortable navigating existing Looker or Omni dashboards to trace how a metric is defined and built

Bonus Skills​

• Experience building in BI or exploratory-analysis tools like Looker, Omni, Sigma, or Hex (not required — happy to teach this on the job)
• Familiarity with Salesforce
• Prior internship or role in analytics, RevOps, or FP&A
• Basic Python

#LI-MM1 #LI-Remote

 

Perks and Benefits

• 100% employer-paid medical insurance*
• Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
• RSU stock grants*
• Professional development and training opportunities
• Company virtual happy hours, free food, and fun team-building activities
• Monthly cell phone stipend
• Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.

*May vary by country and worker type - please reach out to your recruiter for more information

Click here to learn more about Fivetran's Benefits by Region.

We’re honored to be valued at over $5.6 billion, but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream. Read about us in Forbes.     

Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.

To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video.

To learn more about our candidate privacy policy, you can read our statement here.

We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

To apply: https://weworkremotely.com/remote-jobs/fivetran-analyst-gtm-analytics

Headquarters: CRI - Remote

From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.

About the Role

We are looking for a Staff Compensation & Data Analyst (IC4) to serve as the subject matter expert at the intersection of quantitative analysis, compensation strategy, HR technology, and AI-assisted analytics. In this role, you will lead the architecture, modeling, and execution of our global compensation programs while leveraging modern AI platforms and scalable data pipelines.

As a Staff level technical authority, you will drive business-critical compensation initiatives—from merit cycles and pay modeling to global equity strategy. You will partner with Finance, Legal, and Stock Administration on equity program design and governance, collaborate closely with Systems Engineering on Workday Compensation design and testing, utilize Carta for equity analytics, and leverage enterprise Generative AI platforms (Claude, ChatGPT) to accelerate data synthesis, narrative reporting, and predictive analytics.

This is a full-time remote position based in Costa Rica. 

What You’ll Do 

Strategic Compensation Analytics & AI-Assisted Modeling

• Architect Compensation Models: Build and maintain complex models for salary band creation, market pricing, geographic differentials, and merit/promotion budget allocation using quantitative techniques and advanced spreadsheet/coding frameworks.
• AI-Augmented Data Analytics: Leverage enterprise AI platforms (e.g., Claude, ChatGPT) to conduct exploratory analysis on large workforce datasets, synthesize compensation survey benchmarks, evaluate market trends, and automate repetitive data transformation workflows.
• Executive & Incentive Pay: Partner with leadership to model executive total compensation, short-term incentive (STI) performance metrics, and long-term incentive (LTI) grant strategies, utilizing AI tools to generate executive-level narrative summaries and scenario analyses.

Strategic Equity Strategy & Global Program Design

• Global Equity Design & Modeling: Partner with stakeholders to design and model strategic global equity frameworks,including refresh plan design, grant guidelines, vesting schedules, and budget allocations.
• Stock Administration Partnership: Work in tandem with Stock Administration to establish seamless workflows for equity grant approvals, board consent materials, vest schedules, and data reconciliation between equity systems and core HRIS.
• Equity Systems & Analytics (Carta): Utilize Carta and internal analytics tools to model wealth creation scenarios and executive equity usage to inform strategic compensation decisions.

Workday Partnership & Data Infrastructure

• Workday Compensation Design & Rollouts: Partner closely with Systems Engineering to co-design, test, administer, and execute Workday Compensation and Advanced Compensation workflows, eligibility rules, and global merit cycle rollouts.
• Data Integration & Pipeline Development: Collaborate with Systems Engineering to ensure seamless data flows between Workday, payroll systems, external survey management platforms, and analytical databases.
• Custom Reporting & BI: Design, build, and audit complex Workday custom reports, matrix reports, and calculated fields to deliver real-time total rewards insights to business leaders. Use BigQuery for querying, analyzing, and transforming large-scale datasets.

Enablement, Change Management & Training

• Program Enablement & Change Management: Apply structured change management principles to drive adoption of total rewards initiatives, merit updates, pay transparency changes, and compensation program rollouts.
• Communications & Collateral Creation: Develop comprehensive, clear, and engaging communications materials—including manager guidebooks, FAQ docs, slide decks, and video walk-throughs—tailored to various audiences.
• Stakeholder Training: Design and facilitate targeted training sessions for managers, Talent Acquisition (TA), HR Business Partners (HRBPs), and employees to build compensation and equity literacy.

Skills We’re Looking for

Experience

• 6+ years of progressive experience in compensation analysis, equity strategy, or People Analytics, with demonstrable mastery at a senior/principal individual contributor level.
• Proven track record of designing and modeling global compensation and equity programs in partnership with Finance in a fast-paced or scaling technology environment.
• Demonstrated experience with change management and driving enablement programs, including producing training collateral and leading educational workshops for cross-functional teams.

Technical & System Proficiency

• Workday Compensation: Hands-on experience working directly with Workday Core Compensation and Advanced Compensation modules is required.
• Carta & Equity Management: Hands-on experience or strong familiarity with Carta for cap table analytics, grant administration alignment, and LTI modeling is strongly preferred.
• AI Platforms & Prompt Engineering: Experience applying Large Language Model (LLM) tools such as Claude, ChatGPT, or Microsoft Copilot to data analysis, code generation (SQL/Python/Excel formulas), or report generation is strongly preferred.
• Advanced Analytics & BI: Advanced proficiency in Excel, Google Suite (VBA/macros, dynamic arrays, complex formulas) is required. Experience with BI and BigQuery tools for data modeling is a strong plus.

Core Competencies

• Cross-Functional & Executive Alignment: Exceptional ability to build strong cross-functional partnerships across Finance, Legal, Stock Admin, and Systems Engineering to deliver complex total rewards solutions.
• Quantitative Mastery: Deep familiarity with statistical techniques (e.g., regression analysis, distribution metrics) applied to compensation and equity datasets.
• Business & Legal Acumen: Solid understanding of core compensation and equity design concepts. 

Preferred Education & Certifications

• Bachelor’s or Master’s degree in Data Analytics, Finance, Human Resources, or a related field.
• CCP (Certified Compensation Professional) is a plus.
  
  

 

#LI-Remote #LI-MM1

 

Perks and Benefits

• 100% employer-paid medical insurance*
• Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
• RSU stock grants*
• Professional development and training opportunities
• Company virtual happy hours, free food, and fun team-building activities
• Monthly cell phone stipend
• Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.

*May vary by country and worker type - please reach out to your recruiter for more information

Click here to learn more about Fivetran's Benefits by Region.

We’re honored to be valued at over $5.6 billion, but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream. Read about us in Forbes.     

Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.

To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video.

To learn more about our candidate privacy policy, you can read our statement here.

We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

To apply: https://weworkremotely.com/remote-jobs/fivetran-compensation-analytics-partner

Top 3 Reasons To Join Us

• Competitive Salary
• 100% Remote
• Working on the latest tech for the Insurtech Market Leader

About Us

At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.

• We are a leading global no-code insurance platform for health, life, and P&C
• We’re the winner of the Insurtech of the Year in all of Asia and other awards globally
• We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more
• We’re an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world
• We are fully funded and backed by reputable VC funds and strategic institutional investors
• We have a global presence in Asia, EMEA and the Americas
• We’ve grown our annualized revenue by over 30x since January 2021
• We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world

What You Will Do:

• Work with clients and technical resources to identify their business problems and develop the right approach and analytical solution
• Plan and design simple to semi-complex business processes and system modifications
• Make recommendations to improve and support business activities
• Gather business requirements through a variety of techniques such as work sessions and interviews then analyze and document client complex business requirements and processes; communicate these requirements to appropriate parties
• Create complex test case scenarios to be used in testing; monitor/oversee the testing of business applications to verify that all client requirements are incorporated into the system design
• Develop business requirements documents/user stories to support the required modifications
• May plan, allocate and monitor work of other business analysts
• Understand simple to complex systems and related data to surface actionable insights, demonstrate sound judgment and decision-making skills
• Assist in providing time estimates for project related tasks
• Aid in updating process and procedural documentation
• Develop basic understanding of technical development cycle of mobile application or web portals
• Support QA, UAT and Release phases of the project via defect analysis, change maintenance, etc.
• Any other task that may be assigned

What We Need:

• Minimum 4 years of experience as Business Analyst
• A degree in Business, IT or any relevant field
• Previous experience working in the health insurance industry is required
• Insurtech experience is preferred
• Health Insurance-related domain certification from INS/LOMA or III is an added advantage
• Knowledge of business analysis concepts of defining requirements, translating to technical solutions, and Agile approach to prioritizing work to epics, sprints
• Business analysis skills including facilitation, process documentation, requirements gathering and user acceptance testing
• Good organizational/time management skills to prioritize work and meet deadlines within defined timeframes
• Experience in an Agile and/or Scrum environment is a must
• Basic knowledge in generating process documentation, and document system functionality, data integration, and workflow
• Excellent written and verbal communication skills in English
• Technical writing skills is a plus

Why You’ll Love Working Here

• Fully Remote
• Flexible Leave
• International Environment
• Competitive renumeration package
• Performance Bonus
• Company activities and events
• Learning and development plan
• Remote work allowance

CoverGo Company Video

By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Headquarters: San Francisco, CA, US; Remote, US

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Pinterest brings millions of people the inspiration to create a life they love. Behind that experience is a complex infrastructure ecosystem that powers reliability, performance, measurement, and efficiency across the platform. As Pinterest grows, it’s increasingly important that we understand these systems clearly so we can make smarter decisions for both Pinners and the business.

 

We’re looking for a Data Scientist to join our Infrastructure Data Science team. In this role, you’ll partner with engineering and cross-functional teams to make Pinterest’s infrastructure more measurable, intelligible, and actionable. Depending on the area, your work may span app performance, shopping infrastructure, metrics quality, infrastructure governance, or site reliability. You’ll help build the data foundations, measurement systems, and analytical frameworks that enable Pinterest to optimize core technical systems and make better product and infrastructure decisions.

What you’ll do:

In this role, you will partner closely with engineering and cross-functional teams to improve how Pinterest measures, understands, and optimizes its infrastructure:

• Partner with engineering teams to define, measure, and improve the health, quality, and efficiency of Pinterest’s infrastructure systems.
• Build and refine metrics, dashboards, and analytical frameworks that make complex technical systems more understandable and actionable.
• Strengthen data foundations by improving metric definitions, auditing data quality, and contributing to pipeline and measurement improvements where needed.
• Design and analyze experiments, investigations, and deep dives to quantify the impact of infrastructure changes on user experience, reliability, and business outcomes.
• Translate ambiguous technical problems into clear analyses and actionable recommendations for engineering and platform partners.
• Support high-priority investigations and decision-making related to infrastructure performance, reliability, cost, and measurement quality.
• Identify opportunities to improve how Pinterest measures and optimizes infrastructure across a range of domains, such as performance, shopping infrastructure, governance, metrics quality, and site reliability.
  
  

What we’re looking for:

• Masters degree in a relevant field such as Statistics, Applied Math, Biostatistics, or equivalent experience.
• Strong SQL and analytical programming skills, with experience working through messy, imperfect data and building reliable metrics and datasets.
• Experience partnering on or contributing to production-ready data pipelines, measurement systems, or foundational data work that improves data quality and usability.
• Solid foundation in experimentation and measurement, with the ability to design analyses, interpret results rigorously, and partner effectively with engineers and other cross-functional stakeholders.
• Demonstrated ability to translate ambiguous problems into clear analytical workstreams and actionable recommendations.
• Strong cross-functional communication skills, with the ability to explain technical findings clearly to engineering, product, and platform stakeholders.
• Ability to operate independently, prioritize across both longer-term projects and fast-turn inbound requests, and drive work forward in a dynamic environment.
• Curiosity and a builder mindset, with excitement for improving messy systems and creating more scalable, trustworthy measurement foundations.

 

Relocation Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.

 

In-Office Requirement Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

 

#LI-NM4

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only$114,297—$235,319 USD

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.   By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

To apply: https://weworkremotely.com/remote-jobs/pinterest-data-scientist-ii-infrastructure

Associate Director / Director, Data Strategy & Measurement Location: Remote — this is a remote, work-from-home role, as are all positions at Acceleration Partners. Some travel is required for client...

This is a remote position. We are seeking an experiencedClinical Business Analyst / Clinical Informatics Analystwith strong expertise inPatient Access, Registration, and Schedulingto support a large-scale Clinical Information System (CIS) implementation within the Canadian healthcare sector.

[Quora is a privately held, “remote-first” company. This position can be performed remotely from multiple countries around the world. Please visit careers.quora.com/eligible-countries for details regarding employment eligibility by country.] About...

[Quora is a privately held, “remote-first” company. This position can be performed remotely from multiple countries around the world. Please visit careers.quora.com/eligible-countries for details regarding employment eligibility by country.] About...

About MMS

Are you looking to join a company where your contributions truly matter, and where you’ll be part of a supportive, innovative team? MMS is a award-winning, data-focused clinical research organization (CRO). We pride ourselves on being a Great Place to Work certified organization, recognized for our exceptional culture and industry best employee retention rate. We support the pharmaceutical, biotech, and medical device industries with our proven, scientific approach to complex trial data and regulatory submission challenges. With a global footprint across four continents, MMS not only maintains an industry-leading customer satisfaction rating but also fosters a collaborative and inclusive work environment where employees can thrive. Join us at MMS and be part of a team that is shaping the future of clinical research.

Discover more about our exciting opportunities and why MMS is a great place to advance your career. Visit www.mmsholdings.com or follow MMS on LinkedIn.

Applicants must be legally authorized to work in the U.S. for any employer; we cannot sponsor visas (e.g., H-1B) or offer work authorization transfers at this time.

Job Specific Skills:

• Mastery and trained on generating tables, listings, and graphs from clinical trial databases using SAS.
• Utilizes System Development Life Cycle (SDLC) for programming deliverables.
• Advanced user in SAS programming, SAS Base, and SAS Macros.
• Advanced knowledge of E-Submission Standards, Guidelines and Regulations.
• Mastery and trained on SDTM standards including ability to write specifications.
• Advanced knowledge of ADaM standards including supporting specification writing.
• Proficient with MS Office applications.
• Advanced knowledge of ICH, 21CRF Part 11, and ISO 9001:2000 requirements.
• Advanced experience with pooling of data sets for submissions.
• Advanced experience with BIMO outputs, define.xml, Reviewer’s Guides, SDSP.
• Lead study or small programming project teams.

Job Requirements:

• Masters required for all Statistics roles.
• Minimum of 5 years’ experience in Statistical Programming or similar field required.
• Expert knowledge of scientific principles and concepts.
• Reputation as emerging leader in field with sustained performance and accomplishment.
• Proficiency with MS Office applications.
• Hands-on experience with clinical trial and pharmaceutical development preferred.
• Good communication skills and willingness to work with others to clearly understand needs and solve problems.
• Excellent problem-solving skills.
• Good organizational and communication skills.
• Familiarity with current ISO 9001 and ISO 27001 standards preferred.
• Familiarity with 21 CFR Part 11, FDA, and GCP requirements.
• Basic understanding of CROs and scientific & clinical data/terminology, & the drug development process.

About ScalepexScalepex is a dynamic services firm specializing in providing nearshore solutions for premium brands like Nike, Pepsi, Toyota, Virgin, and Walgreens.

Anika Systems is an outcome-driven technology solutions firm that guides federal agencies in solving complex business challenges and preparing for the future. Our services span AI Strategy, Data Intelligence, AI & Machine Learning, Intelligent Automation, Enterprise Platforms and Engineering, with a specialized focus on National Security and Federal Financial programs. We are dedicated to delivering forward-thinking solutions that accelerate the critical missions of our government clients.  This position is 100% remote.

Position Summary

We are in search of a highly collaborative and experienced Data Analyst to support the Office of Chief Data Officer (OCDO) and the Office of Performance Quality (OPQ) for a federal government contract. In this role, you will design and maintain robust data pipelines, perform in-depth analysis of large-scale datasets, and deliver actionable insights that drive mission decisions. You will work within a Databricks environment leveraging SQL, PySpark, and Python, to transform raw agency data into reliable, governed, and analytics-ready assets. The ideal candidate combines strong engineering fundamentals with analytical acumen and is comfortable operating within complex federal data environments.

Candidates must be a U.S. Citizen with the ability to obtain and maintain a government suitability clearance.

Key Responsibilities

Data Engineering & Pipeline Development

• Design, build, and maintain scalable ETL/ELT data pipelines using PySpark and Python within Databricks environments.
• Develop and optimize SQL queries, and data models to support analytical and reporting workloads.
• Automate data ingestion workflows from disparate agency sources including APIs, flat files, relational databases, and streaming feeds.
• Monitor pipeline health, resolve data quality issues, and implement alerting and logging to ensure reliability of data products.
• Collaborate with data architects to design and enforce data schemas, partitioning strategies, and performance optimization practices.

Data Analysis & Reporting

• Conduct exploratory data analysis to identify trends, anomalies, and opportunities for improvement.
• Develop self-service analytics dashboards and reports using Databricks SQL, Tableau, or Power BI.
• Write complex, performant SQL queries against large datasets to answer ad hoc analytical requests from program managers and leadership.
• Translate business questions into clearly scoped analytical tasks and deliver findings as data visualizations, written summaries, or briefings.

Collaboration & Stakeholder Support

• Work closely with data scientists, program analysts, IT engineers, and agency stakeholders to understand data needs and deliver tailored solutions.
• Document pipelines, data models, and analytical notebooks to support knowledge transfer, peer review, and audit readiness.
• Participate in Agile sprint ceremonies, contribute to backlog grooming, and deliver iterative data products aligned with program priorities.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, Mathematics, or a related technical field.
• 3+ years of experience in data engineering, data analytics, or a closely related discipline.
• Demonstrated experience on federal government programs or supporting a federal agency data environment.
• Strong proficiency in SQL — including complex joins, window functions, CTEs, and query performance tuning against large datasets.
• Hands-on experience with PySpark for distributed data processing, transformations, and optimization techniques.
• Proficiency in Python for scripting, data manipulation, and automation.
• Direct experience working within Databricks, including notebooks, jobs, clusters, and Unity Catalog.
• Familiarity with data lakehouse concepts including Delta Lake, bronze/silver/gold architecture, and medallion design patterns.
• Experience with version control systems (Git/GitHub/GitLab) and collaborative development workflows.

Preferred Qualifications

• Databricks Certified Associate Developer for Apache Spark or Databricks Certified Data Engineer Associate/Professional.
• Experience with cloud platforms such as AWS GovCloud, Microsoft Azure Government, or Google Cloud for Government.
• Familiarity with CI/CD practices for data pipelines, including automated testing and deployment using tools like Azure DevOps or GitHub Actions.
• Working knowledge of data visualization platforms (Tableau, Power BI) and experience connecting them to Databricks SQL endpoints.
• Familiarity with Unity Catalog for data access control, lineage, and governance within Databricks.