Graduate Data Analyst Jobs
Graduate Data Analyst jobs are open across technology, finance, healthcare, and consulting, from entry-level and new-grad roles through mid-level analyst positions, with specializations in business intelligence, statistical modeling, and data visualization. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 86+ Graduate Data Analyst jobs
Adobe is seeking talented and passionate Data Science Engineers across all organizations. The team applies AI and machine learning techniques to big customer data to address and challenge business problems, such as driving go-to-market strategies, sales prioritization, increasing product engagement and customer service improvement.
What You’ll Do
Extract and analyze data to understand the customer product life cycle and value realization from the product
Identify and report product features of high and low usage
Develop dashboards/reports that provide useful insights to business leaders
Develop scripts to automate data extraction from product databases
Develop in-house analytical tools that improve the productivity and efficiency of analytical tasks
What You Need to Succeed
Bachelor's or Master’s in Computer Science, Computer Engineering, Electrical Engineer, or equivalent experience required graduating between December 2027 – May 2028
Solid understanding of SQL and R/Python
Understanding of statistical modeling/machine learning/ data mining concepts, and a track record solving problems with these methods.
Ability to apply statistical/machine learning techniques such as hypothesis testing, time series forecasting, linear and logistic regression, random forests, etc.
0 - 2 years of relative work experience
About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let’s Adobe together
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com .
AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience .
Expected Pay Range: Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $90,000 - $164,250 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
In California, the pay range for this position is $113,400 - $164,250
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
State-Specific Notices:
California :
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado:
Application Window Notice
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Adobe is seeking talented and passionate Data Science Engineers across all organizations. The team applies AI and machine learning techniques to big customer data to address and challenge business problems, such as driving go-to-market strategies, sales prioritization, increasing product engagement and customer service improvement.
What You’ll Do
Extract and analyze data to understand the customer product life cycle and value realization from the product
Identify and report product features of high and low usage
Develop dashboards/reports that provide useful insights to business leaders
Develop scripts to automate data extraction from product databases
Develop in-house analytical tools that improve the productivity and efficiency of analytical tasks
What You Need to Succeed
Bachelor's or Master’s in Computer Science, Computer Engineering, Electrical Engineer, or equivalent experience required graduating between December 2027 – May 2028
Solid understanding of SQL and R/Python
Understanding of statistical modeling/machine learning/ data mining concepts, and a track record solving problems with these methods.
Ability to apply statistical/machine learning techniques such as hypothesis testing, time series forecasting, linear and logistic regression, random forests, etc.
0 - 2 years of relative work experience
About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let’s Adobe together
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com .
AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience .
Expected Pay Range: Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $90,000 - $164,250 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
In California, the pay range for this position is $113,400 - $164,250
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
State-Specific Notices:
California :
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado:
Application Window Notice
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Graduate Data Analyst Jobs by Experience Level
See All 86 Graduate Data Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
Find Graduate Data Analyst JobsGraduate Data Analyst Job Market
Who's Hiring
- TikTok33
- ByteDance13
- Johns Hopkins University Applied Physics Laboratory13
- ENERCON SERVICES6
- National Grid2
Top Industries Hiring
- Technology & Software
- Education
- Science & Research
- Aerospace & Defense
- Government & Public Sector
What Employers Look For
The qualifications that appear most often in graduate data analyst jobs.
- Bachelor's degree in statistics, mathematics, computer science, or a related field
- Proficiency in SQL for querying and transforming relational databases
- Experience with Python or R for data analysis and scripting
- Familiarity with data visualization tools such as Tableau or Power BI
- Ability to communicate analytical findings clearly to non-technical stakeholders
- Exposure to data cleaning, exploratory data analysis, and reporting workflows
Tips for Your Graduate Data Analyst Job Search
Tailor your resume to each posting
Graduate data analyst postings vary widely between SQL-heavy roles and Python-focused ones. Pull the exact tool names and methods from each job description and mirror them in your resume's skills and project sections so automated screening systems flag you as a match.
Lead with projects, not coursework
Hiring managers for graduate data analyst roles care more about what you built than where you studied. Describe two or three end-to-end projects on your resume, including the dataset size, the method you used, and the business question you answered.
Apply early to roles that fit
Migrate Mate lists graduate data analyst openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter by industry to sharpen your pitch
A graduate data analyst in fintech writes SQL against transaction data while one in healthcare works with claims or EHR records. Decide which industry fits your project experience, then customize your cover letter to show you understand what that industry actually measures.
Prepare a SQL walkthrough for your interview
Most graduate data analyst interviews include a live SQL exercise or a take-home case. Practice writing window functions, CTEs, and aggregations out loud so you can explain your reasoning while you type, which is what interviewers are evaluating.
Negotiate your title, not just your pay
Many companies post graduate data analyst roles but will adjust the title to data analyst I or II based on your experience. Ask during the offer stage whether the title is flexible, since a stronger title affects how future employers read your resume.
Graduate Data Analyst Jobs: Frequently Asked Questions
Which companies are hiring the most graduate data analysts?
The companies hiring the most graduate data analysts right now include TikTok, ByteDance, and Johns Hopkins University Applied Physics Laboratory, with the largest share of openings in California, Maryland, and Washington, based on current listings on Migrate Mate as of November 2026. Demand is strongest in technology, financial services, and healthcare, where companies regularly onboard cohorts of entry-level analysts.
How many graduate data analyst jobs are remote?
About 38% of graduate data analyst openings are fully remote or hybrid as of November 2026, with the highest remote share found in business intelligence and reporting roles. Positions that require close collaboration with engineering or data engineering teams tend to favor hybrid or on-site arrangements over fully distributed setups.
How do you become a graduate data analyst?
Start by building a foundation in SQL and either Python or R through coursework or self-directed projects, then work through publicly available datasets to create a portfolio of end-to-end analyses. Pair that with a degree in a quantitative field, apply to entry-level or rotational analyst programs, and expect an interview process that tests both technical skills and business communication.
Can you get a graduate data analyst job with little or no professional experience?
Yes, many graduate data analyst roles are explicitly designed for candidates without prior full-time work experience. Employers look for demonstrated technical ability through academic projects, internships, or independent work. A portfolio with two or three documented analyses, strong SQL fundamentals, and clear written communication can offset a thin professional history during the screening process.
What does the graduate data analyst interview process look like?
The process typically begins with a recruiter screen focused on your background and tool familiarity, followed by a technical round that includes a SQL exercise or a take-home case study using a sample dataset. Final rounds usually involve presenting your analysis to a hiring manager or panel and answering questions about your reasoning, assumptions, and how you would apply findings to a business decision.
Where can I find and apply to graduate data analyst jobs?
You can find and apply to graduate data analyst jobs on Migrate Mate, which lists current openings from across the United States. Search the roles available, find the ones that match your skills and preferred industry, and apply directly to each listing without leaving the platform.
See All 86 Graduate Data Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
Find Graduate Data Analyst Jobs