Analytical Lead

Role & responsibilities

• 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.

Technical Skills:

• 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).

Qualification & Certifications:

• MCA/BTech/BE or equivalent.
• Microsoft Certifications, Power Platform, AI / ML etc.