Job Description
We are seeking a visionary Senior Data Analyst to join our elite analytics team in the heart of San Francisco. In this role, you will bridge the gap between complex data sets and business strategy, turning raw information into actionable insights that drive growth. You will work closely with cross-functional teams to optimize operations, enhance customer experiences, and forecast future trends.
Why Join Us?
- Competitive Compensation: A salary ranging from $95k to $145k plus annual performance bonuses.
- Modern Tech Stack: Work with the latest tools including Python, SQL, and Tableau.
- Flexible Work Culture: Hybrid work model supporting work-life balance.
Responsibilities
- Data Mining & Cleaning: Extract, clean, and transform large datasets from various sources to ensure accuracy and reliability.
- Dashboard Creation: Develop interactive, visually compelling dashboards in Tableau and PowerBI to track KPIs and key performance indicators.
- Statistical Analysis: Perform advanced statistical modeling and regression analysis to identify trends and correlations.
- Stakeholder Collaboration: Partner with product managers and engineers to define data requirements and solve business problems.
- Reporting: Generate comprehensive weekly and monthly reports for executive leadership to support strategic decision-making.
- Process Improvement: Identify inefficiencies in data workflows and automate reporting processes to save time and reduce errors.
Qualifications
- Education: Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field (Master’s preferred).
- Experience: Minimum of 4-6 years of experience in data analysis or business intelligence.
- Technical Skills: Proficiency in SQL (Advanced), Python (Pandas, NumPy), and Excel.
- Visualization: Strong portfolio demonstrating experience with Tableau or Looker.
- Communication: Excellent verbal and written communication skills with the ability to explain complex data to non-technical audiences.
- Problem Solving: Proven track record of using data to drive business decisions and process improvements.