Lead: Data Analytics

Role Overview:

Data Strategy & Infrastructure:

• Design and maintain scalable analytics frameworks and data infrastructure.
• Manage end-to-end ETL processes ensuring high-quality data pipelines.
• Optimize database performance and manage data warehouse architecture.

Data Analysis & Reporting:

• Extract, clean, and analyze large datasets to deliver actionable insights.
• Build statistical and predictive models to support business decisions.
• Develop automated dashboards and reports for performance tracking.

Business Impact & Cross-functional Support:

• Collaborate with Product, Marketing, and Finance teams to enable data-driven decision-making.
• Conduct in-depth analyses to identify growth opportunities and improve key business metrics.
• Convert complex data findings into strategic recommendations for leadership.

Team Leadership & Stakeholder Engagement:

• Mentor junior analysts and potentially lead a small team.
• Present insights, reports, and actionable strategies to senior stakeholders.
• Stay updated on the latest analytics tools, techniques, and trends.

• Required Skills & Qualifications:

  6-7 years of experience in data analytics, business intelligence, or similar domains.
• Strong command of

  SQL and Python

  for data manipulation and analysis.
• Hands-on experience with

  ETL pipelines and cloud platforms

  (preferably AWS Redshift).
• Proficiency in

  data visualization tools

  such as Tableau, Metabase, or Power BI.
• Solid knowledge of predictive analytics, statistical modeling, and trend analysis.
• Strong analytical mindset and ability to communicate complex ideas clearly.

• Preferred Qualifications:

  Experience with

  big data technologies

  (Spark, Hadoop) is a plus.
• Exposure to

  machine learning

  or forecasting models.
• Understanding of business KPIs and financial performance metrics.

Strong Analytical Skill, Excellent Communication Skills, Chartered Account, Leadership Experience, Direct Tax And Indirect Tax