Data Science Analyst Jobs

Data Science Analyst jobs are open across technology, finance, healthcare, and retail, from entry-level to senior and lead roles, with specializations in predictive modeling, business intelligence, and machine learning engineering. Find a role that fits from the openings below and apply directly.

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Overview

Open roles19,921+
Top stateCalifornia
Top employerAmazon
Top cityNew York, NY
Work type70% On-site
Top industryTechnology

Showing 5 of 19,921+ Data Science Analyst jobs

Children's Hospital Los Angeles
Data Science Analyst III
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Children's Hospital Los Angeles
Added 1d ago
Data Science Analyst III
Children's Hospital Los Angeles
Los Angeles, California
Data Science & Analytics
Healthcare Administration
Data Science
Data Analytics
$99k - $170k/yr
Remote (US)
Bachelor's
1,001-5,000

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McKinsey & Company
Data Science Analyst
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McKinsey & Company
Added 1w ago
Data Science Analyst
McKinsey & Company
Atlanta, Georgia
Data Science & Analytics
Business Analysis
Marketing
Data Science
Data Analytics
Revenue Operations & Enablement
On-Site
Bachelor's

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Indiana University Health
Sr. Data Science Analyst
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Indiana University Health
Added 2w ago
Sr. Data Science Analyst
Indiana University Health
Indianapolis, Indiana
Data Science & Analytics
Business Analysis
Data Science
Data Analytics
Hybrid
Bachelor's
10,000+

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Copart, Inc
Data Science Analyst
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Copart, Inc
Added 1mo ago
Data Science Analyst
Copart, Inc
Dallas, Texas
Data Science & Analytics
Data Science
Data Analytics
On-Site
Bachelor's
5,001-10,000

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Klaviyo
Lead Data Science Analyst, GTM Strategic Analytics and Insights
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Klaviyo
Added 2mo ago
Lead Data Science Analyst, GTM Strategic Analytics and Insights
Klaviyo
Boston, Massachusetts
Data Science & Analytics
Software Engineering
Business Analysis
Project & Program Management
Data Science
AI (Artificial Intelligence)
Data Analytics
Project Management
$120k - $180k/yr
On-Site
Bachelor's

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Data Science Analyst Job Market

A snapshot from current openings nationwide, updated as new roles post.

Who's Hiring

  • Amazon
    Amazon723
  • Apple
    Apple600
  • CVS Health
    CVS Health399
  • NVIDIA
    NVIDIA389
  • TikTok
    TikTok291

Top Industries Hiring

  • Technology & Software6,551
  • Consulting & Professional Services1,578
  • Healthcare & Medical Services1,178
  • Electronics & Hardware1,127
  • Banking & Financial Services1,120

What Employers Look For

The qualifications that appear most often in data science analyst jobs.

  • Proficiency in Python or R for data analysis and statistical modeling
  • Strong SQL skills for querying and manipulating large relational datasets
  • Experience with data visualization tools such as Tableau or Power BI
  • Bachelor's degree in statistics, computer science, mathematics, or a related field
  • Familiarity with machine learning libraries such as scikit-learn or TensorFlow
  • Experience communicating analytical findings clearly to non-technical stakeholders

Tips for Your Data Science Analyst Job Search

Quantify model impact on your resume

Recruiters for data science analyst roles want to see outcomes, not just tools. Replace 'built predictive models' with the business result: how much churn you reduced, revenue you influenced, or processing time you cut. Specific numbers make your resume stand out in applicant stacks.

Tailor your portfolio to the industry

A portfolio project in e-commerce demand forecasting won't land the same way at a hospital system. Swap or reframe one project to match the domain you're targeting. Hiring managers in healthcare or finance respond more to domain-relevant examples than technically impressive but unrelated work.

Filter openings by required stack, not just title

Data science analyst roles vary widely in their tooling. Some require Python and SQL, others center on Tableau or Power BI. Search by the specific tools listed in job descriptions you want to land, and deprioritize postings where your stack differs on more than two core requirements.

Apply early to roles that fit

Migrate Mate lists data science analyst openings from across the United States in one place, so you can find roles that match and apply directly to each listing.

Prepare for a technical screen before the HR call

Many data science analyst pipelines front-load a take-home SQL or Python assessment before any recruiter conversation. Brush up on window functions, joins, and basic statistical concepts now, so you're not scrambling after you apply. Knowing this stage exists helps you pace your prep correctly.

Negotiate using role-specific comp levers

Data science analyst offers often include components beyond base salary: signing bonuses, equity, conference budgets, and learning stipends. When you receive an offer, ask explicitly about each. Employers who can't move on base often have flexibility on these secondary levers, especially at mid-size tech and fintech firms.

Data Science Analyst Jobs: Frequently Asked Questions

Which companies are hiring the most data science analysts?

The companies hiring the most data science analysts right now include Amazon, Apple, and CVS Health, with the largest share of openings in California, New York, and Texas, based on current listings on Migrate Mate as of June 2026. Demand is especially active in technology, financial services, and healthcare sectors.

How many data science analyst jobs are remote?

About 30% of data science analyst openings are fully remote or hybrid as of June 2026, making it one of the more flexible roles in the analytics field. Positions focused on business intelligence, reporting, and predictive modeling tend to have the highest share of remote arrangements, while roles requiring close collaboration with lab or operations teams are more often on-site.

How do you become a data science analyst?

Start by building a foundation in statistics, Python or R, and SQL through coursework, bootcamps, or self-study. Develop a portfolio of projects that show you can clean messy data, build models, and communicate results. Earn a relevant degree or a recognized certification such as Google's Data Analytics Certificate or the IBM Data Science Professional Certificate. Then apply to entry-level analyst or junior data roles to gain professional experience.

Can you get a data science analyst job with little or no experience?

Yes, you can break into data science analyst roles without a formal work history by leading with a strong project portfolio. Build two or three end-to-end projects using publicly available datasets, publish them on GitHub, and explain your methodology clearly. Entry-level titles like junior data analyst, analytics associate, or business intelligence analyst are designed for candidates transitioning into the field, and many employers value demonstrated skill over years of experience.

What does the data science analyst interview process look like?

Most data science analyst pipelines follow four stages: an initial recruiter screen, a technical assessment covering SQL and Python or statistics, a case study or take-home project where you analyze a dataset and present findings, and a final round with the hiring manager and team. The technical screen and case study carry the most weight. Expect to explain your reasoning out loud, not just produce a correct answer.

Where can I find and apply to data science analyst jobs?

You can find and apply to data science analyst jobs on Migrate Mate, which lists current openings from employers across the United States. Search the listings to find roles that match your skills, location preference, and experience level, then apply directly to each one that fits.

See All 19,921+ Data Science Analyst Jobs

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