Data Analytics Intern Jobs
Data Analytics Intern jobs are open across technology, healthcare, finance, retail, and consulting, from entry-level undergraduate roles to pre-MBA positions, with specializations in business intelligence, data visualization, and statistical modeling. Find a role that fits below and apply directly.
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The USC Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, Titus Family Department of Clinical Pharmacy, is seeking a Research Lab Technician II to support ongoing studies in immunogenomics, cancer genomics and therapeutics.
We are a translational genomics and experimental therapeutics lab focused on identifying and investigating novel therapeutic targets in acute myeloid leukemia (AML) and developing new therapeutic strategies. We seek a highly motivated, detail-oriented individual to perform molecular, cellular, and in vivo experiments and support the day-to-day operation of the laboratory.
Responsibilities
- Process and run quality control on next-generation sequencing data (e.g., RNA-seq, whole-exome/genome sequencing, ATAC-seq, ChIP-seq, single-cell sequencing) using established pipelines
- Perform downstream analyses, including differential expression, variant calling and annotation, pathway enrichment, and clustering, under the guidance of the Principal Investigator and senior lab members
- Analyze data from high-throughput drug screens, flow cytometry, and preclinical mouse studies; perform basic statistical analyses
- Mine public ‘omics’ resources (e.g., TCGA, BeatAML, GEO, DepMap) to support target discovery and validation
- Maintain, document, and update analysis pipelines and scripts using version control
- Organize and manage lab datasets, sample metadata, and clinical annotations in compliance with IRB and data security requirements
- Run jobs on USC’s high-performance computing cluster and manage data storage
- Prepare figures, tables, and summaries of results for lab meetings, presentations, and manuscripts
Minimum Preferred Qualifications
- Bachelor’s degree in biology, molecular biology, biochemistry, immunology, or a related field
- Hands-on laboratory experience with routine molecular biology and cell culture techniques
- Excellent organizational, record-keeping, and communication skills
- Ability to work both independently and as part of a team
Preferred Qualifications
- Master’s degree or 1–2 years of research laboratory experience
- Experience with flow cytometry, NGS sample preparation, or high-throughput assays
- Experience with mouse handling and in vivo studies
- Familiarity with basic data analysis tools (e.g., R, Python, GraphPad Prism) or interest in learning bioinformatics
- Background in cancer biology or hematologic malignancies
Applicants should attach the following:
- Cover letter describing research experience and interests
- Résumé or CV
- Names and contact information for two to three references
The hourly rate range for this position is $25.71 - $28.32. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate’s work experience, education/training, key skills, internal peer equity, federal, state, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.
Minimum Education: Associate's degree, Specialized/technical training, Combined experience/education as substitute for minimum education Minimum Experience: 2 years Minimum Field of Expertise: Working knowledge of laboratory equipment and research protocols. Knowledge of computer analysis techniques and ability to provide routine analysis and interpretation of research data.
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Find Data Analytics Intern JobsData Analytics Intern Job Market
Who's Hiring
- Capital One22

- Information Technology Senior Management Forum14
- Meta7

- TRAX International7

- Vertiv3

Top Industries Hiring
- Technology & Software
- Consulting & Professional Services
- Energy
- Retail
- Education
What Employers Look For
The qualifications that appear most often in data analytics intern jobs.
- Proficiency in SQL for querying and manipulating relational databases
- Experience with Python or R for data cleaning and exploratory analysis
- Familiarity with data visualization tools such as Tableau or Power BI
- Current enrollment in a degree program in statistics, computer science, or a related field
- Ability to communicate analytical findings clearly to non-technical stakeholders
- Exposure to Excel or Google Sheets for data organization and pivot table analysis
Tips for Your Data Analytics Intern Job Search
Tailor your resume to each stack
Data analytics intern postings vary widely in tools required. When a role lists Python, SQL, and Tableau, mirror those exact terms in your resume skills section and project descriptions so your application passes automated screening for that specific stack.
Show project outcomes, not just methods
Hiring managers for analytics intern roles want to see what your analysis changed or informed. Instead of listing techniques you used, describe the decision or outcome your work drove, even in a class project or personal dataset exploration.
Apply early to roles that fit
Migrate Mate lists data analytics intern openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target industries that match your domain knowledge
Analytics intern roles in healthcare require comfort with patient or claims data, while fintech roles expect familiarity with transactional datasets. Applying to industries where you already understand the data context makes your portfolio work land harder with reviewers.
Prepare a SQL or Python take-home strategy
Most data analytics intern interviews include a technical screening, often a take-home case or live query exercise. Practice translating a messy dataset into a clear business answer under time pressure, not just writing correct syntax in isolation.
Follow up with a specific observation after interviews
After a data analytics intern interview, send a follow-up that references one analytical question that came up and adds a brief, concrete thought on it. This signals genuine curiosity about the team's actual data problems, not just the role itself.
Data Analytics Intern Jobs: Frequently Asked Questions
Which companies are hiring the most data analytics interns?
Capital One, Information Technology Senior Management Forum, and Meta are hiring the most data analytics interns right now, with openings concentrated in Virginia, New York, and California, based on current listings on Migrate Mate as of November 2026. Demand is particularly active at technology companies, financial services firms, and large retailers with in-house analytics teams.
How many data analytics intern jobs are remote?
About 66% of data analytics intern openings are fully remote or hybrid as of November 2026, making it one of the more flexible internship categories in business and technology. Sub-areas like business intelligence reporting and data visualization tend to offer the highest share of remote arrangements, while roles involving proprietary on-site data infrastructure are more likely to require in-person work.
How do you become a data analytics intern?
Start by building foundational skills in SQL and Python through coursework or self-directed projects using publicly available datasets. Assemble two or three end-to-end projects that show data cleaning, analysis, and a clear takeaway, then post them to a public portfolio. Apply to roles that match your current tool set, and be upfront in cover letters about which skills you are actively developing.
Can you get a data analytics intern role with little or no experience?
Yes, many data analytics intern postings are explicitly designed for candidates with no prior work experience in analytics. Hiring teams for these roles evaluate your portfolio projects, coursework relevance, and problem-solving approach instead. A well-documented personal project analyzing a real dataset, even a public one, consistently outweighs a blank work history when applying for entry-level intern openings.
What does the data analytics intern interview process look like?
The process typically starts with a recruiter screen focused on your background and tool familiarity, followed by a technical round that may include a SQL challenge, a Python or spreadsheet exercise, or a short take-home case study. A final round often involves presenting your analysis approach to a hiring manager or small team, with questions on how you handle ambiguous data or incomplete information.
Where can I find and apply to data analytics intern jobs?
You can find and apply to data analytics intern jobs on Migrate Mate, which lists current openings from across the United States. Find roles that fit your skills and location preferences, then apply directly to each listing from the page.
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