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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

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