Remote Associate Data Analyst Jobs
Remote associate data analyst jobs are open across the U.S. at remote-first firms, distributed teams, and established companies with fully remote data functions in sectors including Technology & Software, Healthcare & Medical Services, and Retail. Employers hiring remotely right now include Humana, ServiceNow, and Triumph Enterprises. Find a role that fits below and apply directly.
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At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work—but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.
Purpose:
The demand for high-quality health economic and outcomes research (HEOR), health services research (HSR) and real-world evidence (RWE) to support drug development, health technology assessment/access decisions, product differentiation, clinical decision making, and shape the health policy environment continues to increase. The Lilly Research and Evidence Capabilities team within the Health Outcomes and Medical Engagement (HOME) function is looking for talented, energetic, creative, diverse, influential, and collaborative team members to join team.
The real-world data and healthcare analytics lead will be an integral contributor to our evidence generation strategy within the Research and Evidence Capabilities team. This role will serve as the senior technical authority for generating real world evidence from administrative claims data. The lead will use their extensive experience to design and execute rapid-cycle protocol-driven analyses and studies using RWD to match business and strategic research questions. The role is hands-on: the lead personally programs and validates complex analyses, sets the analytic standards, methods, and AI-enabled workflows the team relies on. The lead is both the team’s most hands-on technical expert and the senior reviewer of junior analysts’ work. The lead must be forward-thinking and innovative, working collaboratively with technology teams to advance RWD platforms and maximize the value of AI and emerging technologies to improve analytic outputs. This is a critical role requiring strong internal partnership, scientific credibility, and the ability to balance adherence to standards and best practices with a need for urgency and rapid innovation.
Note: The hiring manager can customize this job description for the level and desired assignment. It is not to be changed more than 30% for the role.
Primary Responsibilities: This job description is intended to provide a general overview of the job requirements at the time it was prepared. The job requirements of any position may change over time and may include additional responsibilities not specifically described in the job description. Consult with your supervision regarding your actual job responsibilities and any related duties that may be required for the position.
Health Economics and Outcomes Research Analysis
- Lead the design of RWE analyses using administrative claims, pharmacy and medical data, including cohort definitions, enrollment, index-date and lookback logic, code sets, and fit-for-purpose assessment of data sources.
- Serve as both technical leader and active contributor: personally program and validate complex analyses from raw RWD through analysis-ready datasets and results, and set the coding standards the team follows.
- Own analytic quality: set and apply standards for code, QC, validation, documentation, and reproducibility, and peer-review analyses across the team.
- Provide expert input on the fit-for-purpose assessment of real-world data (RWD), use of artificial intelligence, and RWD infrastructure needs,
- Support rapid-cycle analytic process efficiency, including prioritization, templates, and triage across teams.
- Develop AI-enabled workflows - LLM-assisted programming, agentic AI, automated QC of analyses and evidence summaries.
- Transform RWD sources to analysis ready data sets to enable rapid generation of RWE.
- Partner with Medical, Legal, and Regulatory so analyses are designed to support the evidence communications they are intended for.
- Ensure analyses meet privacy and data governance requirements (HIPAA, de-identification, small-cell suppression, data use agreements).
- Mentor and coach research scientists on methods and analytic best practice.
Strategy
- Applies disease state knowledge, US healthcare industry expertise, and research methods to develop REC team analytics strategy to accelerate insights to US payers and other internal and external stakeholders.
- Serves as a strategic partner on lead/core teams across medical, tech and various commercial teams.
Information Dissemination
- Collaborate with team members, including field medical team and researchers, to write reports, draft abstracts/posters/manuscripts, create data visualizations, and communicate study/analysis results.
- Communicate study results via dashboards, final reports, manuscripts, or oral presentations in group settings, as well as for communicating with key population-based decision makers (PBDMs) and internal leaders.
Healthcare Industry Domain Knowledge
- Understand Lilly relevant disease states and the broader healthcare environment in order to contextualize analytic requests and analytic capability needs.
- Working knowledge of how claims data are generated, from care delivery and pharmacy dispensing through claims adjudication, and how that shapes data strengths and limitations.
Project Management ?
- Ensures projects and RWD tools meet timelines, budget, and scope by coordinating analytics efforts with cross-functional Lilly business partners and external collaborators as appropriate.?
Minimum Qualification Requirements:
- Advanced degree (PharmD, MD, PhD, MS, MPH) in a quantitative or health related field (e.g. economics, epidemiology, statistics, actuarial) with significant experience (8+ years with masters or 5+ years with doctorate) with highly relevant experience in RWE analytics.
- Demonstrated 5+ years of hands-on experience working with US and administrative medical and pharmacy claims data (e.g. Marketscan, Optum, Komodo, IQVIA)
- Advanced proficiency in the use of statistical language and programming software (i.e. SQL and R or Python) to efficiently harmonize and analyze real world data and translate research questions into program specifications.
Other Information/Additional Preferences:
- Extensive prior data and analytics experience in pharma, managed care or similar healthcare industry.
- Understanding of medical and pharmacy taxonomy (e.g. NDC, ICD, CPT, HCPCS).
- Clinical training or experience
- Proficient with data visualization and dashboard creation.
- Demonstrated ability to influence and collaborate within and across cross-functional teams primarily residing in US time zones.
- Location: US Remote or Indianapolis, IN
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia (AMECA), Black Employees at Lilly (BE@Lilly), Chinese Culture Network (CCN), EnAble, Evolve, Lilly Indian Network (LIN), Organization of Latinx at Lilly (OLA), Pride (LGBTQ+ Allies), Veterans Leadership Network (VLN) and Women’s Initiative for Leading at Lilly (WILL).
Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is
$171,000 - $330,000Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
#WeAreLilly
At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work—but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.
Purpose:
The demand for high-quality health economic and outcomes research (HEOR), health services research (HSR) and real-world evidence (RWE) to support drug development, health technology assessment/access decisions, product differentiation, clinical decision making, and shape the health policy environment continues to increase. The Lilly Research and Evidence Capabilities team within the Health Outcomes and Medical Engagement (HOME) function is looking for talented, energetic, creative, diverse, influential, and collaborative team members to join team.
The real-world data and healthcare analytics lead will be an integral contributor to our evidence generation strategy within the Research and Evidence Capabilities team. This role will serve as the senior technical authority for generating real world evidence from administrative claims data. The lead will use their extensive experience to design and execute rapid-cycle protocol-driven analyses and studies using RWD to match business and strategic research questions. The role is hands-on: the lead personally programs and validates complex analyses, sets the analytic standards, methods, and AI-enabled workflows the team relies on. The lead is both the team’s most hands-on technical expert and the senior reviewer of junior analysts’ work. The lead must be forward-thinking and innovative, working collaboratively with technology teams to advance RWD platforms and maximize the value of AI and emerging technologies to improve analytic outputs. This is a critical role requiring strong internal partnership, scientific credibility, and the ability to balance adherence to standards and best practices with a need for urgency and rapid innovation.
Note: The hiring manager can customize this job description for the level and desired assignment. It is not to be changed more than 30% for the role.
Primary Responsibilities: This job description is intended to provide a general overview of the job requirements at the time it was prepared. The job requirements of any position may change over time and may include additional responsibilities not specifically described in the job description. Consult with your supervision regarding your actual job responsibilities and any related duties that may be required for the position.
Health Economics and Outcomes Research Analysis
- Lead the design of RWE analyses using administrative claims, pharmacy and medical data, including cohort definitions, enrollment, index-date and lookback logic, code sets, and fit-for-purpose assessment of data sources.
- Serve as both technical leader and active contributor: personally program and validate complex analyses from raw RWD through analysis-ready datasets and results, and set the coding standards the team follows.
- Own analytic quality: set and apply standards for code, QC, validation, documentation, and reproducibility, and peer-review analyses across the team.
- Provide expert input on the fit-for-purpose assessment of real-world data (RWD), use of artificial intelligence, and RWD infrastructure needs,
- Support rapid-cycle analytic process efficiency, including prioritization, templates, and triage across teams.
- Develop AI-enabled workflows - LLM-assisted programming, agentic AI, automated QC of analyses and evidence summaries.
- Transform RWD sources to analysis ready data sets to enable rapid generation of RWE.
- Partner with Medical, Legal, and Regulatory so analyses are designed to support the evidence communications they are intended for.
- Ensure analyses meet privacy and data governance requirements (HIPAA, de-identification, small-cell suppression, data use agreements).
- Mentor and coach research scientists on methods and analytic best practice.
Strategy
- Applies disease state knowledge, US healthcare industry expertise, and research methods to develop REC team analytics strategy to accelerate insights to US payers and other internal and external stakeholders.
- Serves as a strategic partner on lead/core teams across medical, tech and various commercial teams.
Information Dissemination
- Collaborate with team members, including field medical team and researchers, to write reports, draft abstracts/posters/manuscripts, create data visualizations, and communicate study/analysis results.
- Communicate study results via dashboards, final reports, manuscripts, or oral presentations in group settings, as well as for communicating with key population-based decision makers (PBDMs) and internal leaders.
Healthcare Industry Domain Knowledge
- Understand Lilly relevant disease states and the broader healthcare environment in order to contextualize analytic requests and analytic capability needs.
- Working knowledge of how claims data are generated, from care delivery and pharmacy dispensing through claims adjudication, and how that shapes data strengths and limitations.
Project Management ?
- Ensures projects and RWD tools meet timelines, budget, and scope by coordinating analytics efforts with cross-functional Lilly business partners and external collaborators as appropriate.?
Minimum Qualification Requirements:
- Advanced degree (PharmD, MD, PhD, MS, MPH) in a quantitative or health related field (e.g. economics, epidemiology, statistics, actuarial) with significant experience (8+ years with masters or 5+ years with doctorate) with highly relevant experience in RWE analytics.
- Demonstrated 5+ years of hands-on experience working with US and administrative medical and pharmacy claims data (e.g. Marketscan, Optum, Komodo, IQVIA)
- Advanced proficiency in the use of statistical language and programming software (i.e. SQL and R or Python) to efficiently harmonize and analyze real world data and translate research questions into program specifications.
Other Information/Additional Preferences:
- Extensive prior data and analytics experience in pharma, managed care or similar healthcare industry.
- Understanding of medical and pharmacy taxonomy (e.g. NDC, ICD, CPT, HCPCS).
- Clinical training or experience
- Proficient with data visualization and dashboard creation.
- Demonstrated ability to influence and collaborate within and across cross-functional teams primarily residing in US time zones.
- Location: US Remote or Indianapolis, IN
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia (AMECA), Black Employees at Lilly (BE@Lilly), Chinese Culture Network (CCN), EnAble, Evolve, Lilly Indian Network (LIN), Organization of Latinx at Lilly (OLA), Pride (LGBTQ+ Allies), Veterans Leadership Network (VLN) and Women’s Initiative for Leading at Lilly (WILL).
Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is
$171,000 - $330,000Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
#WeAreLilly
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Find JobsRemote Associate Data Analyst Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Healthcare & Medical Services
- Retail
- Education
- Science & Research
What Employers Look For
The qualifications that appear most often in remote associate data analyst jobs.
- Proficiency in SQL for querying and manipulating relational databases
- Experience with data visualization tools such as Tableau or Power BI
- Bachelor's degree in statistics, mathematics, economics, computer science, or a related field
- Familiarity with Python or R for data cleaning and basic analysis
- Ability to communicate findings clearly to non-technical business stakeholders
- Experience working with large datasets and understanding of data quality practices
Tips for Your Remote Associate Data Analyst Job Search
Build a portfolio with written case studies
Remote employers can't watch you work, so your portfolio does that job. Each project should include a written summary of the problem, your approach, and the outcome. Clear written reasoning signals you can communicate findings without a meeting.
Apply early to remote roles that fit
Migrate Mate lists remote associate data analyst openings from across the U.S. in one place, so you can find roles that match your skills and apply directly without sorting through mixed listings. Early applicants get more visibility before a role fills.
Show async collaboration skills concretely
Remote associate data analyst teams run on tools like Slack, Notion, Jira, and GitHub. Name the ones you've used and describe how you delivered work asynchronously. Hiring managers screen for candidates who don't need real-time hand-holding to stay productive.
Prepare to walk through your analysis live
Remote interviews for associate data analyst roles often include a take-home analysis followed by a live walkthrough over video. Practice explaining your SQL queries and visualization choices out loud. Interviewers want to hear how you think, not just see the output.
Remote Associate Data Analyst Jobs: Frequently Asked Questions
How do I get a remote associate data analyst job?
Remote associate data analyst roles go to candidates who can demonstrate self-direction and clear written communication alongside technical skills. Remote employers screen heavily for proficiency in SQL, Python or R, and tools like Tableau or Power BI, plus the ability to document work and communicate findings asynchronously. A portfolio of projects with written walkthroughs gives you a concrete edge over candidates who only list tools on a resume.
Which companies hire remote associate data analysts?
Remote associate data analyst roles are posted by Humana, ServiceNow, and Triumph Enterprises and others right now, based on current remote listings on Migrate Mate as of November 2026. Remote-first firms, distributed tech and SaaS companies, and large enterprises with distributed data teams are the most consistent sources of these openings.
Can you get a remote associate data analyst job with no experience?
Yes, but remote entry-level roles are harder to land because employers expect you to work independently from day one with minimal in-person guidance. The companies most likely to hire entry-level remote associate data analysts are remote-first startups and mid-size SaaS firms. A portfolio of personal or academic projects, a completed data analytics certificate, and demonstrated comfort with async collaboration tools can substitute for direct job experience.
Do you need a degree for remote associate data analyst jobs?
Not always. Many remote employers care more about demonstrated SQL, Python, and visualization skills than a specific degree, especially at the associate level. A strong portfolio, a data analytics bootcamp certificate, or verifiable project results can open doors that a degree alone does not. That said, a bachelor's in statistics, computer science, or a related field still strengthens your application at larger companies.
Which industries hire the most remote associate data analysts?
Remote associate data analyst roles concentrate in Technology & Software, Healthcare & Medical Services, and Retail, based on current remote listings on Migrate Mate as of November 2026. These sectors rely on distributed data teams to support product, finance, and operations decisions across multiple time zones and locations.
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