Lead Business Analyst – Data, AI & Analytics

Stryker; Gurugram District; On-site; INR 4,200,000 - 6,400,000; Full time

Job summary

Stryker in Gurugram, India is looking for a senior BI professional to lead analytics initiatives, maintain Power BI dashboards, and partner with data engineers to ensure accurate reporting. You will leverage Databricks, SQL, Python, and advanced data modeling to optimize performance, create reusable datasets, and define standardized KPIs for self-service analytics.

Strong communication with stakeholders and a track record of delivering end-to-end solutions are essential to enable data-driven

Qualifications

• Required: 7+ years in business analytics, data analytics, BI, or supply-chain analytics.
• Strong hands-on Databricks experience with SQL, notebooks, and data validation.
• Proficiency in Power BI data modeling, DAX, and performance optimization.
• Experience with Python for data analysis and prototyping.
• Excellent communication and stakeholder management skills.

Responsibilities

• Maintain and enhance Power BI dashboards, reports, and data models.
• Investigate data issues, perform root-cause analysis, and collaborate with data engineering.
• Design reusable datasets and governed data products for self-service analytics.
• Prototype AI-driven reporting solutions using Copilot, Azure AI, and Databricks AI/BI Genie.
• Collaborate with supply chain and business stakeholders to translate requirements into scalable analytics.

Skills

Business analysis

Data analytics

Analytical thinking

Stakeholder management

Problem solving

Education

Bachelor's degree in Computer Science / Engineering / Information Systems / Business Analytics / Supply Chain

Tools

Databricks

SQL

Power BI

Power Query

DAX

Python

Delta tables

Job description

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.