[YOUR FULL NAME]
[City, State] | [Phone Number] | [Email Address] | [LinkedIn Profile URL]

PROFESSIONAL SUMMARY
Results-driven Data Analyst with [X] years of experience transforming complex data into strategic business insights. Expert in SQL, Python, and advanced analytics with proven track record of driving revenue growth and operational efficiency. Skilled at communicating technical findings to non-technical stakeholders and leading cross-functional data initiatives.

TECHNICAL SKILLS
Programming & Scripting: Python (pandas, NumPy, scikit-learn), SQL, R
Data Visualization: Tableau, Power BI, Looker, Google Data Studio
Databases & Tools: MySQL, PostgreSQL, MongoDB, Snowflake, AWS, Excel (advanced)
Statistical Methods: Regression analysis, predictive modeling, A/B testing, time series forecasting, clustering
Business Intelligence: ETL processes, data warehousing, dashboard development, KPI tracking

PROFESSIONAL EXPERIENCE

Data Analyst | [Company Name] | [City, State] | [Start Month Year - Present/End Month Year]
- Analyzed customer behavior data across [number] touchpoints using SQL and Python, identifying retention opportunities that reduced churn by [percentage]
- Built [number] executive dashboards in Tableau tracking KPIs for [department/function], enabling data-driven decisions that increased [metric] by [amount/percentage]
- Developed predictive model using [method] to forecast [business metric], achieving [percentage] accuracy and improving planning efficiency by [outcome]
- Automated [number] manual reporting processes using Python scripts, saving [hours/week] and reducing human error by [percentage]
- Collaborated with product, marketing, and operations teams to design A/B tests that optimized [feature/campaign], resulting in [quantifiable improvement]
- Presented data insights to C-level executives, translating complex analyses into actionable recommendations that generated [$amount] in additional revenue

Junior Data Analyst | [Previous Company Name] | [City, State] | [Start Month Year - End Month Year]
- Performed exploratory data analysis on [data source] containing [size/scope], uncovering patterns that informed product development strategy
- Created SQL queries to extract and transform data from [number] sources, building unified reporting framework used by [number] stakeholders
- Designed [number] Power BI reports visualizing sales performance metrics, providing visibility that improved territory management by [outcome]
- Conducted statistical analysis to evaluate [business initiative], demonstrating [$amount] ROI and securing budget approval for expansion
- Cleaned and validated datasets with [percentage] error rate reduction, improving downstream analytics accuracy

[Earlier Role if Relevant] | [Company Name] | [City, State] | [Start Month Year - End Month Year]
- [Achievement with quantifiable result]
- [Achievement with quantifiable result]
- [Achievement with quantifiable result]

EDUCATION
[Degree Name], [Major] | [University Name] | [Graduation Year]
Relevant Coursework: [List if recent graduate, otherwise remove this line]

CERTIFICATIONS
[Certification Name] | [Issuing Organization] | [Year]
[Certification Name] | [Issuing Organization] | [Year]

KEY ACHIEVEMENTS
- Reduced customer acquisition cost by [percentage] through cohort analysis and targeting optimization
- Increased forecast accuracy from [X%] to [Y%] by implementing machine learning models
- Recognized as [award/recognition] for [accomplishment]