Data Analyst Resume Example

Professional Data Analyst resume example showcasing expertise in data visualization, statistical analysis, and business intelligence. Highlights proficiency in SQL, Python, Excel, and data-driven decision-making.

Michael Johnson

michael.johnson@example.com | (123) 456-7890 | 789 Analytics Drive, City, State 12345

Portfolio: michaeljohnson-analytics.com

Summary

Data Analyst with 5+ years of experience in transforming raw data into actionable business insights. Skilled in SQL, Python, and Tableau for data visualization and trend analysis. Adept at identifying patterns, optimizing processes, and enhancing business intelligence through data-driven decision-making.

Experience

Senior Data AnalystTech Insights Inc. - New York, NY (2020 - Present)
- Developed interactive Tableau dashboards, reducing report preparation time by 40%.
- Optimized SQL queries to improve database performance, reducing query time by 50%.
- Led A/B testing projects that improved marketing campaign efficiency by 25%.
Data AnalystBusiness Solutions LLC - Chicago, IL (2017 - 2020)
- Analyzed large datasets to identify trends, leading to a 15% revenue increase.
- Automated data extraction processes using Python, reducing manual workload by 30%.
- Provided strategic insights through predictive modeling, improving customer retention by 20%.

Education

B.S. in Data ScienceUniversity of Chicago (2017)

Skills

- SQL & Database Management
- Python (Pandas, NumPy, Matplotlib, Seaborn)
- Data Visualization (Tableau, Power BI)
- Statistical Analysis & Predictive Modeling
- ETL Processes & Data Cleaning
- Excel (Pivot Tables, Macros, VLOOKUP)

Certifications

- Google Data Analytics Professional Certificate
- Microsoft Certified: Data Analyst Associate
- Tableau Desktop Specialist

Achievements

- Developed a machine learning model that improved forecasting accuracy by 20%.
- Reduced data processing time by 50% through SQL query optimization.
- Created a company-wide KPI dashboard, improving business performance tracking.

What to Include

Data Cleaning & Transformation
SQL Queries & Database Management
Data Visualization & Dashboarding
Business Intelligence & Insights
Statistical Analysis & Reporting
Education & Professional Certifications

Key Data Analyst Skills

Data Cleaning & Wrangling
SQL (Joins, CTEs, Window Functions)
Python (Pandas, NumPy, Matplotlib, Seaborn)
Data Visualization (Tableau, Power BI, Looker)
Statistical Analysis & Predictive Modeling
Excel (Pivot Tables, VLOOKUP, Macros)
Machine Learning Fundamentals (Regression, Clustering)