Lead Business Analyst – Data, AI & Analytics

Work Flexibility: Hybrid What you will do: • Manage, maintain, and enhance Power BI dashboards, reports, semantic models, and data refresh processes to ensure accurate and reliable business reporting. • Investigate reporting issues, analyze data discrepancies, perform root-cause analysis, and collaborate with data engineering teams to resolve data quality concerns. • Develop and optimize Power BI solutions using DAX, Power Query, and advanced data modeling techniques to improve reporting performance and user experience. • Leverage Databricks, SQL, and Python to analyze datasets, validate data transformations, uncover business insights, and support analytical decision-making. • Partner with stakeholders and engineering teams to design reusable datasets, standardized KPIs, and governed data products that support self-service analytics. • Identify, prototype, and implement AI-driven reporting solutions using technologies such as Microsoft Copilot, Copilot Studio, Azure AI, and Databricks AI/BI Genie. • Design conversational analytics and chatbot solutions that enable business users to interact with trusted enterprise data using natural language. • Drive data democratization by enabling governed self-service reporting through certified datasets, semantic models, and standardized business definitions. • Collaborate with supply chain and business stakeholders to gather requirements, conduct solution workshops, and translate business challenges into scalable analytics solutions. • Own end-to-end analytics initiatives from requirement gathering and solution design through validation, deployment, adoption, and continuous improvement. What you will need: • Bachelor's degree in Computer Science, Engineering, Information Systems, Business Analytics, Supply Chain, or a related discipline. • 7+ years of experience in business analysis, Data analytics, business intelligence, or supply-chain analytics, with demonstrated hands-on solution delivery. • Strong hands-on Databricks experience , including SQL, notebooks, Delta tables, data exploration, and validation of data transformations. • Strong SQL skills , with the ability to independently investigate complex datasets, reconcile discrepancies, and perform root-cause analysis. • Strong Power BI expertise , including data modeling, DAX, Power Query, semantic models, report optimization, and troubleshooting. • Practical Python skills for data analysis, validation, or prototyping. • Demonstrated ability to develop prototypes, solve problems independently, and collaborate effectively with business and engineering teams. • Strong stakeholder management, communication, analytical thinking, and problem-solving skills. Travel Percentage: 10%