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 Technology & Software, Education, and Retail, with employers like Amazon, TikTok, and University of Illinois hiring at this level now.
Find JobsOverview
Showing 5 of 34+ Entry Level Data Science Analyst jobs











Job ID: 112517
- Atlanta
- Boston
- Chicago
- Dallas
- Denver
- Miami
- New Jersey
- New York City
- San Francisco
- Seattle
+ 2 More
YOUR IMPACT
YOUR GROWTH
- Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
- A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
- Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
- World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
YOUR QUALIFICATIONS AND SKILLS
- Undergraduate degree in computer science, machine learning, applied statistics, mathematics, engineering, artificial intelligence, or a related field
- Strong academic qualifications, including advanced understanding/coursework in database management and math (linear, algebra, calculus)
- Emerging knowledge in statistical data analysis and data mining packages (e.g., R, SAS, SPSS, Alteryx, MatLab, STATA, Excel)
- Emerging knowledge of data management tools including SQL/RDBMS, NoSQL (e.g. MongoDB), Hadoop and/or other big data technologies
- Programming skills in at least one of the following - Python, R, and/or Java
- Emerging knowledge in linking multiple data platforms (social media, open, etc.) and with data visualization tools (e.g., Tableau)
- Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes and recommend solutions
- Ability to independently own database development and decisions, balancing demands and deadlines
- Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
- Willingness to travel up to 80%; ability to travel to and work in varying environments that may be challenging and/or not accessible (e.g., factories, hospitals, mines)
- Ability to work or attend meetings outside of traditional business hours or take on projects with limited or no notice at times
- Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels
See All 34 Entry Level Data Science Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsEntry Level Data Science Analyst Job Market
Who's Hiring



Top Industries Hiring
- Technology & Software13
- Education10
- Retail4
- E-Commerce & Online Marketplaces4
- Consulting & Professional Services3
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 Amazon, TikTok, and University of Illinois, based on current listings on Migrate Mate as of September 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 50% of entry level data science analyst openings are remote or hybrid as of September 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 Technology & Software, Education, and Retail, based on current listings on Migrate Mate as of September 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.