Business Intelligence Lead - DAX Power BI

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 departmentsincluding 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 :
• 6-10 years of experience in analytics or BI, with a minimum of 2 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 an Advanced Analytics end-to-end project

(ref : hirist.tech)