AI ResumeMaker
Resume
Cover Letter
Application TrackerPROLog In

Data Analyst Resume Example

Analytical modeler expert in SQL, Python and visualization. This mid-level data analyst resume example shows how to present your experience, skills and results so they stand up to both recruiters and applicant tracking systems.

Failed to load PDF file.

Full data analyst resume text

Nathan Silver Jr. · Washington, DC

Professional summary

Highly analytical Data Analyst with 8+ years of experience in statistical modeling, predictive analytics, and executive-level reporting. Expert in SQL, Python, and Tableau. Proven ability to transform complex datasets into actionable insights that inform high-stakes business and political strategy.

Work experience

Senior Data Analyst / Lead Modeler

Insights & Analytics Group, Washington, DC · May 2020 – Present
  • Built and maintain a suite of predictive models for voter behavior, achieving a 98% accuracy rate for regional outcome forecasting
  • Automated 50+ complex weekly performance reports using Python and Airflow, saving the department 40+ manual hours per week
  • Lead the data integrity team in an enterprise-wide cleansing project of 10M+ records, ensuring a "single source of truth"
  • Develop high-fidelity Tableau dashboards for executive stakeholders, visualizing real-time market volatility and risk factors
  • Conducted multivariate regression analysis identifying 3 key drivers of customer churn, leading to a successful $2M retention campaign
  • Coordinate with data engineering to optimize SQL query performance across petabyte-scale cloud data warehouses

Junior Data Analyst

Strategic Data Corp, Bethesda, MD · Jun 2017 – Apr 2020
  • Performed exploratory data analysis (EDA) on unstructured market datasets to identify emerging consumer trends
  • Designed and executed complex A/B tests for web properties, resulting in a documented 15% increase in conversion
  • Managed the internal data dictionary and documentation for the analytics department
  • Provided technical support and training to non-technical staff on self-serve analytics tools

Skills to put on a data analyst resume

  • SQL (Postgres/BigQuery)
  • Python (Pandas/Scikit-learn)
  • Tableau/Power BI
  • Statistics & Probability
  • Predictive Modeling
  • Data Visualization
  • ETL/Airflow
  • A/B Testing
  • Excel (VBA/Macros)
  • Storytelling with Data

Education

  • Bachelor of Science in Statistics & Mathematics · Georgetown University · May 2017

Projects

  • Regional Outcome Engine: A predictive dashboard that accurately forecasted 48/50 state-level outcomes in the most recent national cycle.
  • Automated Retention Scorer: Developed a machine learning script that assigns a "churn probability" to every user, integrated into the CRM for proactive support.

What makes this data analyst resume work

  • Put the stack and scale up front: traffic, data volume, uptime or latency numbers.
  • Pair each tool with what you used it to achieve, so keywords read as results.
  • Link to code, a portfolio or a write-up when you can.

At mid-level, show growing scope: the size of what you owned, the people you worked with, and results that improved year over year.

Build your own data analyst resume

Start from this mid-level example, paste a job description, and let the AI tailor your wording and keywords.

More technology resume examples

Browse all resume examples →