Senior Data Analyst Resume Sample

Elena Rodriguez

elena@rodriguez.com

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(312) 555-7788

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linkedin.com/in/elena-rodriguez-data

Senior Data Analyst

Senior Data Analyst with 5+ years turning complex datasets into actionable insights. Proficient in SQL, Python, and Tableau. Built executive dashboards tracking KPIs that informed $10M+ in strategic investments. Reduced reporting time by 70% through automated ETL pipelines and self-service analytics.

WORK EXPERIENCE

Senior Data Analyst

Jul 2021 – Present

RetailGenius Corp

Revenue Analytics: Analyzed customer purchasing patterns across 500+ SKUs using Python and SQL, identifying $4.2M revenue opportunity through optimized product bundling and pricing
Executive Dashboards: Designed and maintained Tableau dashboards tracking 25+ KPIs for C-suite, enabling real-time visibility into sales performance, inventory levels, and customer retention metrics
Predictive Modeling: Developed churn prediction model using logistic regression that identified at-risk customers with 82% accuracy, supporting retention campaigns that saved $2.1M in annual revenue

Data Analyst

Mar 2019 – Jun 2021

FinTech Innovations

ETL Automation: Built automated ETL pipelines using Python and Airflow to process 2M+ daily transactions, reducing manual reporting effort by 15 hours per week
A/B Test Analysis: Analyzed results of 30+ A/B tests across web and mobile channels, providing statistical significance calculations and recommendations that improved conversion rate by 23%
Database Optimization: Optimized SQL queries and implemented indexed views, reducing report generation time from 45 minutes to 3 minutes for key business metrics

SKILLS & COMPETENCIES

CERTIFICATIONS

Tableau Desktop Specialist

Jan 2024

Tableau

Google Data Analytics Professional Certificate

Aug 2021

Google

EDUCATION

Bachelor of Science in Statistics

2015-2019

University of Illinois

Chicago, Illinois

Data Science
Business Analytics

Tools to build your Senior Data Analyst resume

Copy and adapt these proven examples to create a resume that stands out.

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Resume Headlines

Use these attention-grabbing headlines to make a strong first impression.

Senior Data Analyst | Revenue Analytics | $4.2M Opportunity Identified

Data Analyst | Predictive Modeling & Executive Dashboards | $2.1M Retention Savings

Senior Data Analyst | Python, SQL & Machine Learning | 82% Churn Prediction Accuracy

Data Analyst | ETL Automation & Analytics | 70% Reporting Time Reduction

Senior Data Analyst | A/B Testing & Statistical Analysis | 23% Conversion Improvement

Data Analyst | Tableau, Python & SQL | C-Suite KPI Dashboards

💡 Tip: Choose a headline that reflects your unique value proposition and matches the job requirements.

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Power Bullet Points

Adapt these achievement-focused bullets to showcase your impact.

Revenue Analytics & Business Impact

• Analyzed customer purchasing patterns across 500+ SKUs using Python and SQL identifying $4.2M revenue opportunity through optimized product bundling and pricing

• Developed pricing optimization analysis evaluating elasticity across product categories informing strategy that increased average order value by 18%

• Identified cross-sell opportunities through market basket analysis driving $1.8M in incremental revenue over 12 months

• Analyzed sales performance across regions, channels, and segments providing insights that informed $10M+ in strategic investments

Predictive Modeling & Advanced Analytics

• Developed churn prediction model using logistic regression identifying at-risk customers with 82% accuracy supporting retention campaigns saving $2.1M annually

• Built customer lifetime value model segmenting customers by value and enabling targeted marketing strategies

• Performed cohort analysis and time-series forecasting predicting demand with 15% MAPE accuracy improving inventory planning

• Analyzed results of 30+ A/B tests providing statistical significance calculations and recommendations improving conversion rate by 23%

Executive Dashboards & Visualization

• Designed and maintained Tableau dashboards tracking 25+ KPIs for C-suite enabling real-time visibility into sales, inventory, and customer retention

• Created executive dashboards synthesizing data from multiple sources providing single source of truth for business performance

• Built self-service analytics tools empowering 50+ stakeholders to explore data independently reducing ad-hoc requests by 40%

• Developed automated reporting distributing daily/weekly insights to 100+ stakeholders eliminating manual report generation

ETL & Automation

• Built automated ETL pipelines using Python and Airflow processing 2M+ daily transactions reducing manual effort by 15 hours weekly

• Optimized SQL queries and implemented indexed views reducing report generation time from 45 minutes to 3 minutes

• Created data transformation scripts handling data quality, validation, and enrichment ensuring 99% data accuracy

• Designed data models and warehouse schemas supporting analytics and reporting needs for cross-functional teams

💡 Tip: Replace generic terms with specific metrics, technologies, and outcomes from your experience.

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Resume Writing Tips for Senior Data Analysts

Lead with Revenue and Business Impact

Senior analysts drive business outcomes. Highlight: revenue opportunities ($4.2M), savings ($2.1M), conversion improvements (23%), strategic investments influenced ($10M+). Show your analysis creates value—not just reports.

Demonstrate Advanced Analytical Skills

Include predictive modeling: churn prediction (82% accuracy), A/B testing (30+ tests), statistical analysis, forecasting. Show you go beyond dashboards—you build models that predict and prescribe.

Highlight Executive-Level Communication

Senior analysts influence leadership. Include: C-suite dashboards, KPIs tracked (25+), strategic recommendations, executive presentations. Show you translate data into insights execs act on.

Quantify Automation and Efficiency

Include: reporting time reduction (70%), hours saved (15 weekly), ETL pipelines built, query optimization (45min → 3min). Show you create operational leverage—not just one-off analyses.

Balance Technical and Business Skills

List 10-12 skills covering Python (pandas, scikit-learn), SQL, visualization (Tableau), statistics, ETL, and business acumen. Senior analysts are technical experts who speak business language.

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Essential Skills & Keywords

Include these skills to optimize your resume for ATS systems and recruiter searches.

Programming & Tools

SQL (PostgreSQL, MySQL, SQL Server) Python (Pandas, NumPy, Scikit-learn) R (for statistical analysis) ETL Pipeline Development Airflow/Data Orchestration

Visualization & BI

Tableau Power BI Dashboard Design Data Storytelling Executive Reporting

Analytics & Statistics

Statistical Analysis Hypothesis Testing A/B Testing & Experimentation Predictive Modeling Regression Analysis Time-Series Forecasting

Machine Learning

Scikit-learn Logistic Regression Classification Models Customer Segmentation Churn Prediction

Data Management

Data Modeling Database Design Query Optimization Data Warehousing Data Quality & Validation

Business & Communication

Business Intelligence Stakeholder Communication Strategic Analysis Problem-Solving Critical Thinking Executive Presentations

💡 Tip: Naturally integrate 8-12 of these keywords throughout your resume, especially in your summary and experience sections.

Why this resume works

Role-Specific Strengths

Revenue-driving analytics: $4.2M revenue opportunity identified, $2.1M retention savings—shows business impact
Predictive modeling and statistics: Churn prediction (82% accuracy), A/B testing (30+ tests), statistical analysis—demonstrates advanced analytical skills
Executive-level communication: C-suite dashboards, KPIs (25+), strategic recommendations—shows senior influence
Automation and efficiency: 70% reporting time reduction, ETL pipelines, 15 hours saved weekly—quantifies operational impact

✓ ATS-Friendly Elements

Senior-level keywords: "predictive modeling," "executive dashboards," "ETL pipelines," "revenue analytics," "statistical analysis"
Impact verbs: Developed, Optimized, Identified, Analyzed, Designed
Advanced tools: Python (pandas, scikit-learn), SQL, Tableau, Airflow
Business metrics: $4.2M revenue, $2.1M savings, 82% accuracy, 23% conversion lift
Certifications: Tableau Desktop Specialist, Google Data Analytics

✓ Human-Readable Design

Summary emphasizes strategic impact with quantified business outcomes
Metrics show senior scope: $10M+ investments influenced, $4.2M revenue identified
Experience demonstrates progression: from data analyst to senior analyst with predictive modeling
Skills balance technical depth (Python, SQL, ML) with business communication
Statistics degree and certifications validate analytical expertise

💡 Key Takeaways

Senior analysts own business outcomes, not just dashboards
Quantify revenue impact: opportunities identified ($4.2M), savings delivered ($2.1M), conversion improvements (23%)
Show advanced analytics: predictive modeling, statistical testing, A/B experimentation, ETL automation
Demonstrate executive influence: C-suite dashboards, strategic recommendations, KPI tracking (25+)
Balance technical depth (Python, SQL, ML) with business storytelling and stakeholder management

📈 Career Progression in Data Analytics

See how Data Analytics roles evolve from reporting to strategic data leadership.

📊 Junior Analyst → 📈 Senior Analyst (Current) 🎯 Analytics Manager →

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