The role involves executing end-to-end analytics across the data lifecycle, including data collection, cleaning, analysis, and insight generation to support product, marketing, and business operations. The candidate will analyze large and complex datasets using tools such as Advanced SQL, MS Excel, and Python/R to identify trends and improve key business KPIs. They will develop dashboards and reports using visualization tools like Tableau or Power BI and translate complex analyses into clear, actionable insights and business recommendations. The role also requires applying structured, data-driven approaches to solve business problems, collaborating with cross-functional teams and senior stakeholders, and supporting customer lifecycle management through platforms such as CDP or marketing automation tools like Netcore
