Data Analyst Resume Example (2026)
A realistic data analyst resume covering SQL, Python, Tableau, and business intelligence roles — with structure, sample bullets, and ATS tips.
What to include in a Data Analyst resume
- Contact info with LinkedIn and optionally a GitHub or Kaggle profile link.
- Professional summary — highlight your tools (SQL, Python, Tableau), domain (finance, e-commerce, etc.), and a key insight you delivered.
- Work experience — focus on the business impact of your analysis, not just the queries you wrote.
- Technical skills — SQL, Python, BI tools, databases, cloud platforms, statistical methods.
- Projects — Kaggle notebooks, dashboards, or open datasets you've analyzed.
- Education — degree in Statistics, CS, Math, Economics, or any quantitative field.
Sample resume structure
ROHAN JOSHI
rohan@email.com · linkedin.com/in/rohan · github.com/rohanj · kaggle.com/rohanj
Summary
Data analyst with 3 years of experience in e-commerce and fintech. Skilled in SQL, Python (Pandas, Matplotlib), Tableau, and BigQuery. Delivered insights that drove ₹3.5 Cr in incremental revenue in FY2025. Strong communicator who bridges data and business teams.
Experience
Data Analyst — Myntra, Bengaluru (2022–Present)
- Built a customer churn prediction model in Python that identified 18k at-risk users, enabling a retention campaign with 24% re-activation rate
- Designed a Tableau dashboard tracking 14 KPIs for the fashion category, used weekly by 6 business leaders
- Wrote optimized BigQuery SQL queries that reduced report generation time from 4 hours to 12 minutes
Skills
SQL (PostgreSQL, BigQuery), Python (Pandas, NumPy, Matplotlib, Seaborn), Tableau, Power BI, Excel (Pivot Tables, VLOOKUP), Google Analytics, A/B Testing, Statistics
Education
B.Sc Statistics — Mumbai University, 2021
Key skills for a Data Analyst resume
Common mistakes on Data Analyst resumes
- ✕Describing tasks ('created reports') without business outcomes ('reduced churn by 18%').
- ✕Listing tools without showing how you used them to answer business questions.
- ✕No GitHub, Kaggle, or portfolio link when you have project work.
- ✕Putting education before experience if you have 1+ years of work history.
- ✕Ignoring domain knowledge — if you worked in finance, e-commerce, or healthcare, mention it explicitly.
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FAQ
What tools should I list on a data analyst resume?
SQL is non-negotiable. Python (Pandas, NumPy, Matplotlib) is increasingly expected. Visualization tools depend on the company: Tableau and Power BI are most common; Looker and Metabase appear at tech startups. Excel/Google Sheets is still widely used. List what you actually know — recruiters will ask about anything you list.
How do I write strong bullets for a data analyst resume?
Lead with the business outcome, not the tool. Example: 'Identified a $200k revenue leak in the returns process by analyzing 3 years of transaction data in SQL, leading to a policy change that reduced return fraud by 32%.' Always tie your analysis to a decision made or result achieved.
Should I include a portfolio or projects on a data analyst resume?
Yes. A GitHub profile with SQL queries, Jupyter notebooks, or Kaggle competition results makes your skills tangible. For entry-level roles, projects often carry as much weight as internship experience. Include a link to your best work.
Is Python required for data analyst roles?
Python is required at most tech companies and growing startups. At traditional enterprises or in finance, Excel and SQL alone may be sufficient. Check the job description — if Python or R appears in requirements, it's non-negotiable. If you know it, list it; if not, learn Pandas basics before applying to data-heavy roles.
How does a data analyst resume differ from a data scientist resume?
Data analysts focus on reporting, querying, dashboards, and business intelligence. Data scientists go deeper into statistical modeling, machine learning, and predictive analytics. On a data analyst resume, emphasize SQL, dashboards, business impact, and data storytelling. Save ML and model-building for a data science role.