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%