Job Description: Senior Data Analyst
The Senior Data Analyst is responsible for collecting, analyzing, and interpreting complex datasets to help organizations make data-driven decisions. This role involves advanced analytics, dashboard creation, reporting, stakeholder communication, and mentoring junior analysts.
Key Responsibilities1. Data Analysis & Interpretation
- Analyze large datasets to identify trends, patterns, and business insights.
- Perform advanced statistical analysis and predictive modeling.
- Translate business problems into analytical solutions.
2. Reporting & Visualization
- Design and develop dashboards and reports using tools like Power BI, Tableau, or Looker.
- Present insights to senior management in a clear and actionable format.
- Automate reporting processes to improve efficiency.
3. Data Management
- Extract, clean, and validate data from multiple sources (SQL databases, APIs, Excel, etc.).
- Ensure data accuracy, integrity, and governance standards.
- Collaborate with data engineering teams for data pipeline improvements.
4. Business Collaboration
- Work closely with cross-functional teams (Marketing, Finance, Operations, Sales).
- Provide strategic recommendations based on data findings.
- Support decision-making through scenario analysis and forecasting.
5. Advanced Analytics
- Build forecasting models and performance metrics frameworks.
- Conduct A/B testing and experiment analysis.
- Identify opportunities for optimization and cost reduction.
6. Leadership & Mentorship
- Guide and mentor junior data analysts.
- Review analytical work for accuracy and quality.
- Contribute to analytics best practices and process improvements.
Required Qualifications
- Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or related field.
- 4–8+ years of experience in data analysis or business intelligence roles.
- Strong proficiency in SQL and Excel.
- Experience with Python or R for data analysis.
- Hands-on experience with BI tools (Power BI/Tableau).
- Strong understanding of statistics and data modeling concepts.
Preferred Skills
- Experience with cloud platforms (AWS, Azure, GCP).
- Knowledge of machine learning basics.
- Strong business acumen and communication skills.
- Experience in industry-specific analytics (Textiles, FMCG, E-commerce, Finance, etc.).
Job Type: Full-time
Pay: ₹35,000.00 - ₹45,000.00 per month
Work Location: In person