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Job Details

job duties, job responsibilities, and skills required

Lead Data Analyst

  • Salary: 27 - 35 LPA
  • Exp: 5 - 12 yrs
  • Location: Chennai
  • Job Type: Full-time

Overview

The Lead Data Analyst is responsible for managing and analyzing complex datasets to provide actionable insights for the business. This role requires leadership and management skills to guide a team of data analysts in executing data analysis, developing reports, and performing in-depth statistical analysis. The Lead Data Analyst works closely with cross-functional teams to understand business needs, ensure data quality, and develop strategies that improve organizational performance. They must be proficient in using data analysis tools and techniques, as well as have the ability to communicate findings to senior leadership.

Job Description

A Lead Data Analyst is responsible for overseeing data analysis operations and guiding a team of analysts to deliver valuable insights for decision-making within an organization. The role involves managing large datasets, ensuring data quality, and implementing data-driven strategies across various business functions. The Lead Data Analyst is crucial in transforming raw data into actionable insights that drive business performance and strategic initiatives.

Education

Bachelors degree in Computer Science, Data Science, Mathematics, Statistics, Economics, or a related field. Masters degree (optional) in Data Science, Business Analytics, Statistics, or a related field (preferred). Certifications in data analytics tools (Tableau, Power BI, etc.) or data management are a plus.

Roles and Responsibilities

  1. Lead and manage a team of data analysts
  2. providing guidance and support on data-related projects
  3. Analyze large and complex datasets to extract valuable insights and trends for business decision-making
  4. Develop and maintain data models
  5. reports
  6. and dashboards to track key performance indicators (KPIs)
  7. Collaborate with business stakeholders to define data requirements and align analysis with organizational goals
  8. Ensure data quality and integrity by implementing data governance best practices

Required Skills

  1. Data Analysis
  2. Data Management
  3. Data Visualization
  4. SQL
  5. Python
  6. R
  7. Advanced Excel
  8. Statistical Analysis
  9. Data Warehousing
  10. Data Cleaning
  11. Data Mining
  12. Report Generation
  13. Business Intelligence Tools
  14. Data Governance
  15. Predictive Analytics
  16. Problem Solving
  17. Team Leadership
  18. Communication Skills
  19. Project Management
  20. Data Interpretation
  21. Statistical Modelling
  22. Machine Learning
  23. Process Improvement
  24. Tableau
  25. Power BI
  26. Data Integrity
  27. Cross-functional Collaboration
  28. Data-driven Decision Making

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