Mid-career
Data Analyst resume example
Best for bi, reporting, and operations analytics roles.
Priya Shah
Data Analyst
priya.shah@example.com · 555-0100 · Chicago, IL
linkedin.com/in/priyashah · priyashah.example.com
Experience
Data Analyst · Beacon Retail
2022-2026Chicago, IL
- Built SQL-backed Tableau dashboards tracking fulfillment delays, return reasons, and carrier performance across 42 retail regions.
- Created dbt tests that flagged missing order status, duplicate shipment IDs, and late warehouse scans before Monday executive reporting.
- Reduced recurring ad hoc reporting by converting 18 spreadsheet requests into governed monthly dashboards with documented metric definitions.
- Presented weekly operations findings to directors, separating confirmed trends from data-quality caveats and open attribution questions.
Reporting Analyst · Lakefront Home Goods
2019-2022Evanston, IL
- Automated Excel and SQL reports for inventory turns, promotional sell-through, and regional stockout patterns.
- Partnered with store operations managers to define exception rules for replenishment dashboards and reduce manual status emails.
- Validated vendor data feeds by comparing purchase orders, receiving logs, and warehouse adjustments before month-end close.
Projects
Fulfillment Delay Analysis · Beacon Retail
2025- Segmented late shipments by region, carrier, warehouse, and order age to help operations prioritize carrier review meetings.
- Documented metric logic in Confluence so finance, operations, and support teams used the same delay definition.
Education
BS in Statistics · University of Illinois Chicago
2019Chicago, IL
- Completed coursework in regression analysis, database systems, business statistics, and data visualization.
Certifications
Analytics Credentials · Tableau and Google
2021-2024- Tableau Desktop Specialist, 2024.
- Google Data Analytics Professional Certificate, 2021.
Skills
Analytics toolkit
- Data: SQL, dbt, PostgreSQL, Snowflake, Excel.
- Visualization: Tableau, Power BI, dashboard QA, metric documentation.
- Analysis: cohort analysis, operations reporting, variance analysis, data validation.
- Communication: executive readouts, stakeholder intake, requirements notes, caveat documentation.