YOUR FULL NAME

Senior Data Analyst • Analytics Engineering • Experimentation
City, Country you@example.com +91-90000-00000 linkedin.com/in/yourprofile your-portfolio.example.com github.com/yourhandle

Summary

Data Analyst with 6+ years converting messy data into clear decisions. Expert in SQL, Python, and BI. Built reliable ELT models, automated reporting, and designed A/B tests. Improves trust in metrics and reduces time-to-insight for product, growth, and ops.

Skills

Analytics
Product Analytics, Funnel & Cohorts, Retention, Experimentation, Causal Inference (Basics)
Languages & Tools
SQL, Python, Pandas, NumPy, dbt, Airflow, Git
BI & Viz
Tableau, Power BI, Looker, Metabase, Data Studio
Data Warehousing
BigQuery, Snowflake, Redshift, PostgreSQL
Statistics
Hypothesis Testing, Power Analysis, Regression, Time Series, Anomaly Detection

Experience

Senior Data Analyst • Acme Apps
Feb 2022 – Present • Bangalore

SQL, dbt, BigQuery, Python, Tableau, Airflow

  • Redesigned core revenue model in dbt; finance variance cut from 12% to <2%.
  • Built experimentation toolkit; p-values, CUPED, and guardrails. Test setup time −70%.
  • Owned product KPI layer and lineage; 45+ dashboards consolidated to 12 curated views.
  • Automated ELT with Airflow; daily runtime from 2h10m to 38m with SLAs.
Data Analyst • Beta Fintech
Jul 2019 – Jan 2022 • Remote

Redshift, SQL, Python, Power BI

  • Built fraud features and monitoring; chargeback rate down 21% at stable approval.
  • Shipped executive P&L with drill-through; monthly close time reduced by 2 days.
  • Introduced data quality checks; incident count −35% QoQ.
Junior Analyst • Gamma Media
Jun 2017 – Jun 2019 • Hyderabad

PostgreSQL, Python, Metabase

  • Built content performance pipeline; query latency 1.6s→210ms via indexes and CTEs.
  • Authored KPI dictionary; reduced metric discrepancies across teams.

Selected Projects

Churn Prediction & Uplift • Python, scikit-learn, SHAP
GitHub
  • Built baseline churn model (AUC 0.81) and uplift targeting for retention offers.
  • Explainability with SHAP; influenced lifecycle campaign and saved 7% at-risk MRR.
Self-Serve Metrics Hub • dbt, BigQuery, Looker
Demo
  • Modeled unified events schema and semantic layer; request-to-insight time −60%.
  • Row-level security and governance; audit trails for metric changes.

Education

B.Tech / B.Sc in Computer Science • Your University
2013 – 2017 • City

Coursework: Statistics, Data Mining, Databases, Algorithms

Certifications

  • Google Data Analytics / Analytics Engineer (Year)
  • Tableau Desktop Certified Associate / Power BI Data Analyst (Year)

Achievements

  • Introduced KPI governance; reduced conflicting metrics tickets by 70%.
  • Built cost observability for warehouse; saved ₹18L annual spend.