- Proficiency in Python, SQL, and BI tools (Microsoft Fabric, Power BI, Tableau).

- Experience with cloud platforms (Azure, AWS, GCP), data warehousing, and ETL pipelines. Knowledge of AI/ML, big data frameworks (e.g., Spark, Databricks

- This role is responsible for leading the organizations analytics strategy, building of team, and platforms to enable data-driven decision-making.

- Develop and execute enterprise-wide analytics vision and roadmap.

- Align analytics initiatives with business strategy and digital transformation goals.

- Foster a data-driven culture across organization and multiple business units.

- Manage teams of data analysts, data scientists, BI developers, and data engineers.

- Build and scale analytics capabilities, tools, and best practices.

- Oversee development of predictive models, AI/ML solutions, and statistical analysis as per business use cases, and deliver as per commitment.

- Drive segmentation, demand forecasting, churn prediction, and fraud detection.

- Develop enterprise dashboards and self-service BI solutions (e.g., Power BI, Tableau).

- Deliver actionable insights through KPIs, reports, and executive briefings.

- Ensure training to the nominated business champions as per train the trainer plan.

- Collaborate with Data Governance and IT for data integrity, security, and compliance.

- Partner with business leaders to identify analytics opportunities, develop plans, ensure timely implementation, and drive performance of team.

- This role oversees the development and delivery of advanced analytics, business intelligence, and predictive modelling solutions that drive business performance, customer insights, operational efficiency, and innovation.