Entry Level Data Science Analyst Jobs
New grad data science analyst jobs welcome recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship project can carry more weight than a lengthy resume. Most openings are on-site, remote, and hybrid roles across Education, Retail, and Technology & Software, with employers like Information Technology Senior Management Forum, Amazon, and Capital One hiring at this level now.
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Showing 5 of 78+ Entry Level Data Science Analyst jobs
EMPLOYER: Sephora USA, Inc.
TITLE: Analyst, Personalization Data Science (Multiple Positions Available)
Belong to Something Beautiful
At Sephora, beauty is about feeling seen, valued, and empowered, individually and collectively. It is connecting deeply with others, celebrating diversity and inclusivity, unlocking your potential, and making a difference every day. Together, we belong to something beautiful.
DUTIES: Develop and implement a set of techniques and analytics to transform raw data into meaningful information using data-oriented programming languages and visualization software. Design and implement innovative analytical solutions and work alongside the product and engineering teams. Apply data mining, advanced feature engineering techniques, and natural language processing to extract and analyze information from large structured and unstructured datasets. Evaluate new features and architecture that will form the basis for innovative data solutions at Sephora. Build comprehensive analytics views of predictive drivers and forecast their growth to perform opportunity sizing. Work from home in the United States permitted.
Job Site:350 Mission Street, Floor 7, San Francisco, CA 94105.
40 hours/week; $133,952– 205,196 / year
EMPLOYER: Sephora USA, Inc.
TITLE: Analyst, Personalization Data Science (Multiple Positions Available)
Belong to Something Beautiful
At Sephora, beauty is about feeling seen, valued, and empowered, individually and collectively. It is connecting deeply with others, celebrating diversity and inclusivity, unlocking your potential, and making a difference every day. Together, we belong to something beautiful.
DUTIES: Develop and implement a set of techniques and analytics to transform raw data into meaningful information using data-oriented programming languages and visualization software. Design and implement innovative analytical solutions and work alongside the product and engineering teams. Apply data mining, advanced feature engineering techniques, and natural language processing to extract and analyze information from large structured and unstructured datasets. Evaluate new features and architecture that will form the basis for innovative data solutions at Sephora. Build comprehensive analytics views of predictive drivers and forecast their growth to perform opportunity sizing. Work from home in the United States permitted.
Job Site:350 Mission Street, Floor 7, San Francisco, CA 94105.
40 hours/week; $133,952– 205,196 / year
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Find JobsEntry Level Data Science Analyst Job Market
Who's Hiring
- Information Technology Senior Management Forum9
- Amazon8
- Capital One6
- Deloitte3
- Apple2
Top Industries Hiring
- Education19
- Retail13
- Technology & Software13
- E-Commerce & Online Marketplaces9
- Banking & Financial Services8
Entry Level Data Science Analyst Jobs: Frequently Asked Questions
How do I get an entry level data science analyst job?
Entry level data science analyst roles reward candidates who can show practical work, not just coursework. Build a portfolio with two or three projects using real datasets, demonstrating skills in Python or R, SQL, and data visualization tools like Tableau or Power BI. Internships, capstone projects, and bootcamp certificates all count. Tailor your resume to each posting, matching the specific tools and methods the job listing names.
Which companies hire entry level data science analysts?
Companies hiring entry level data science analysts right now include Information Technology Senior Management Forum, Amazon, and Capital One, based on current listings on Migrate Mate as of July 2026. Hiring at this level comes from a wide range of employers, including technology firms, financial services companies, healthcare organizations, and retailers that are building out their analytics functions.
Are there remote entry level data science analyst jobs?
Yes, though on-site and hybrid roles are also common at this stage. About 27% of entry level data science analyst openings are remote or hybrid as of July 2026, so candidates who need location flexibility have real options. Filtering by work setting when you search is the fastest way to surface openings that match your situation.
Are these new grad data science analyst jobs?
Yes, this page includes new grad, recent graduate, and junior data science analyst roles alongside other entry level openings. A posting is new-grad friendly when it welcomes zero to two years of experience, accepts internships or academic projects in place of full-time work history, or calls out a portfolio as a valid credential. Look for language like "recent graduate," "junior," or "no prior professional experience required" in the description.
Which industries hire the most entry level data science analysts?
Entry level data science analyst roles concentrate in Education, Retail, and Technology & Software, based on current listings on Migrate Mate as of July 2026. These sectors generate large volumes of structured data and have strong business incentives to hire analysts who can turn that data into decisions, making them consistent sources of new-grad and junior openings.