Data Scientist Analyst Jobs
Data Scientist Analyst jobs are open across technology, finance, healthcare, retail, and consulting, from entry-level to senior and lead, with specializations in predictive modeling, business intelligence, and machine learning. Scan the live roles below and apply to whichever ones fit.
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Important information before applying:
Work Authorization: To respect your time, we cannot provide employment visa sponsorship for this position now or in the future. Before applying, please confirm that you are authorized to work in the United States without current or future employer sponsorship.
Major Responsibilities:
Query, clean, and analyze large datasets using SQL, Python, and Snowflake. Sources may include Lightcast data, government and third-party data, and client datasets.
Build and maintain data pipelines and create indices or composite measures for custom analyses.
Apply statistical and quantitative methods, such as benchmarking, correlation, and trend analysis, to answer client questions.
Adapt proven methods into repeatable workflows, trial new research approaches, and apply core labor market economics concepts.
Develop client-ready materials in Excel, PowerPoint, and Word, as well as visualizations and dashboards in Tableau or similar tools.
Present research to clients and internal teams, and communicate findings in ways that reflect what the data can support.
Use LLM tools to assist with coding, debugging, documentation, data tasks, dashboards, and draft deliverables; review and refine outputs for accuracy and quality.
Keep current with AI tools relevant to labor market research and share useful approaches with the team.
Education and Experience:
2–4 years of experience in quantitative research, data analysis, or data science.
Bachelor’s or master’s degree in Economics, Public Policy, Data Science, Statistics, or another quantitatively focused field.
Experience working with APIs to access, integrate, and analyze data.
Lightcast is a global leader in labor market insights with our headquarters located in Moscow, ID (US) and other offices in the United Kingdom, Europe, and India. We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities.
Lightcast is proud to be an equal opportunity workplace and does not discriminate on the basis of federally protected statuses. Lightcast has always been, and always will be, committed to diversity of thought and unique perspectives. We seek dynamic professionals from all backgrounds to join our teams, and we encourage our employees to bring their authentic, original, and best selves to work.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Important information before applying:
Work Authorization: To respect your time, we cannot provide employment visa sponsorship for this position now or in the future. Before applying, please confirm that you are authorized to work in the United States without current or future employer sponsorship.
Major Responsibilities:
Query, clean, and analyze large datasets using SQL, Python, and Snowflake. Sources may include Lightcast data, government and third-party data, and client datasets.
Build and maintain data pipelines and create indices or composite measures for custom analyses.
Apply statistical and quantitative methods, such as benchmarking, correlation, and trend analysis, to answer client questions.
Adapt proven methods into repeatable workflows, trial new research approaches, and apply core labor market economics concepts.
Develop client-ready materials in Excel, PowerPoint, and Word, as well as visualizations and dashboards in Tableau or similar tools.
Present research to clients and internal teams, and communicate findings in ways that reflect what the data can support.
Use LLM tools to assist with coding, debugging, documentation, data tasks, dashboards, and draft deliverables; review and refine outputs for accuracy and quality.
Keep current with AI tools relevant to labor market research and share useful approaches with the team.
Education and Experience:
2–4 years of experience in quantitative research, data analysis, or data science.
Bachelor’s or master’s degree in Economics, Public Policy, Data Science, Statistics, or another quantitatively focused field.
Experience working with APIs to access, integrate, and analyze data.
Lightcast is a global leader in labor market insights with our headquarters located in Moscow, ID (US) and other offices in the United Kingdom, Europe, and India. We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities.
Lightcast is proud to be an equal opportunity workplace and does not discriminate on the basis of federally protected statuses. Lightcast has always been, and always will be, committed to diversity of thought and unique perspectives. We seek dynamic professionals from all backgrounds to join our teams, and we encourage our employees to bring their authentic, original, and best selves to work.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Data Scientist Analyst Jobs by Experience Level
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Find Data Scientist Analyst JobsData Scientist Analyst Job Market
Who's Hiring
What Employers Look For
The qualifications that appear most often in data scientist analyst jobs.
- Proficiency in SQL for querying and transforming relational databases
- Experience with Python or R for statistical analysis and modeling
- Hands-on work with BI tools such as Tableau, Power BI, or Looker
- Bachelor's degree in statistics, mathematics, computer science, or a related field
- Ability to communicate analytical findings clearly to non-technical stakeholders
- Familiarity with machine learning concepts and model evaluation techniques
Tips for Your Data Scientist Analyst Job Search
Tailor your resume to the posting
Data scientist analyst job descriptions mix business intelligence tools with machine learning frameworks differently by team. Mirror the exact tool names and methods from each posting on your resume so your application clears automated screening for the right stack.
Show analysis that drove a decision
Hiring managers for this hybrid role want evidence you translated data into action. For every project on your resume, name the business question, the method you used, and what changed because of your finding. Vague project descriptions lose to concrete ones.
Build a portfolio with executable notebooks
A GitHub repository with well-documented Jupyter or R notebooks lets interviewers verify your work before they call you. Include at least one end-to-end project: data cleaning, exploratory analysis, model or dashboard, and a written summary of the business implication.
Apply early to roles that fit
Migrate Mate lists data scientist analyst openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter postings by tool stack before applying
The gap between a data scientist and a data scientist analyst role often comes down to SQL depth and BI tool fluency. Prioritize postings that name the tools you use daily so your first technical screen matches your strongest skills, not your weakest.
Prepare a case-style answer for every interview
Many data scientist analyst interviews include a business case where you receive a messy dataset and thirty minutes to find an insight. Practice walking through your reasoning out loud: what you checked first, why you chose a method, and what you would recommend to a non-technical stakeholder.
Data Scientist Analyst Jobs: Frequently Asked Questions
Which companies are hiring the most data scientist analysts?
The companies hiring the most data scientist analysts right now include Lightcast, Polymarket, and Booz Allen Hamilton, with the largest share of openings in New York, Illinois, and Maryland, based on current listings on Migrate Mate as of November 2026. Demand is especially concentrated in technology, financial services, and healthcare organizations that run large analytics functions.
How many data scientist analyst jobs are remote?
About 67% of data scientist analyst openings are fully remote or hybrid as of November 2026, reflecting broad adoption of distributed analytics teams across industries. Roles focused on self-service reporting, dashboard development, and Python-based modeling tend to appear remote most often, while positions requiring close collaboration with data engineering or product teams more commonly require on-site presence.
How do you become a data scientist analyst?
Start by building proficiency in SQL and at least one programming language, typically Python or R, through coursework or self-directed projects. Develop a portfolio of analyses that shows end-to-end work: cleaning raw data, applying a statistical or machine learning method, and summarizing findings for a business audience. A degree in a quantitative field helps, but demonstrated project work carries significant weight with hiring managers evaluating candidates for this role.
Can you get hired as a data scientist analyst with little experience?
Yes, entry-level data scientist analyst roles exist, but they typically require proof of technical ability even without formal work history. Hiring managers in this space respond well to portfolio projects, academic research with real datasets, or freelance analytical work. Focusing your applications on companies with structured junior programs in financial services, retail analytics, or healthcare data gives you the best entry point without years of prior experience.
What does the data scientist analyst interview process look like?
The process usually starts with a recruiter screen focused on your background and tool experience, followed by a technical phone or video interview covering SQL queries and basic statistics. Most companies then assign a take-home case or live coding exercise using a sample dataset. Final rounds typically include a presentation of your case findings to a panel of analysts and stakeholders, followed by a conversation about past projects and business impact.
Where can I find and apply to data scientist analyst jobs?
You can find and apply to data scientist analyst jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your experience and tool stack, then apply directly to each one that fits. New listings are added regularly, so checking back frequently gives you access to openings as soon as they appear.
See All 22 Data Scientist Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
Find Data Scientist Analyst Jobs