Lead - Business Insights

Responsibilities:

- Lead, mentor, and grow a team of Data Analysts and Power BI Developers.

- Set clear performance metrics and foster a culture of insight, ownership, and excellence.

- Actively contribute to dashboard design, development, and optimization using Power BI.

- Write and optimize complex SQL queries for data extraction, transformation, and validation across multiple sources.

- Serve as the escalation point for advanced Power BI and SQL tasks.

- Lead and execute analytical projects across departments including sales, marketing, supply chain, product, operations, and consumer analytics uncover actionable business insights.

- Deliver compelling, visual, and data-rich narratives that influence strategic decisions.

- Work closely with cross-functional teams (Sales, Marketing, Operations, etc. ) to gather business requirements and translate them into technical solutions.

- Present insights in a structured and business-friendly manner to senior leadership.

- Oversee the full lifecycle of dashboard/report development from requirement gathering to deployment and maintenance.Ensure high standards of data accuracy, report performance, and UI/UX best practices.

- Work with the Data Engineering Lead to define data layer needs for reporting and insights.

- Ensure consistency and quality of data across analytics outputs.

- Contribute to building the long-term roadmap for self-service BI and advanced analytics maturity.

- Identify opportunities to automate manual reporting and improve turnaround times.

Requirements:

- 7-10 years of experience in analytics or BI, with a minimum of 3 years in a leadership or team management capacity.

- Strong hands-on experience in Power BI (DAX, Power Query, custom visuals, publishing dashboards).

- Expert-level proficiency in SQL with the ability to work across large and complex datasets.

- Excellent communication and stakeholder management skills.Demonstrated experience leading analytics projects from end-to-end.Working knowledge of Python and statistical methods.

- Experience in consumer-facing industries like retail, e-commerce, or D2C brands.

- Strong attention to detail and a passion for solving business problems with data.

- Experience in Advanced Analytics end-to-end pro.