Senior Staff Data Analyst

Stryker · Gurgaon

Source and collection record

Last observed by our collector: 8 October 2026 at 10:51 pm IST. This is not a manual review or a confirmation from the employer.

Employer requisition: R564969

Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.

How sourcing and classification work · Report a discrepancy

Your application evidence checklist

Mark the statements you can support after reading the employer source. This checklist stays on this page; it does not score your eligibility or submit an application.

Attendance and availability: I checked the employer page for work location, office attendance, start date and duration.Current requisition: I checked the current employer requisition and its application requirements.

0 of 2 checks marked. Keep unresolved requirements as questions for the employer.

Collected role description

Work Flexibility: Hybrid What you will do: Partner with business stakeholders to understand reporting and analytics requirements; translate them into clear user stories, data requirements, and technical tasks. Contribute to user-friendly reporting and dashboard experiences by applying standard UI/UX practices and incorporating end-user feedback. Build and optimize data pipelines, ETL/ELT processes, and orchestration workflows for procurement data from ERP systems and other sources, following established architecture and standards. Design and implement scalable data models and curated data sets (lake/warehouse) to support analytics and reporting needs. Implement and monitor data quality checks and documentation; support compliance with organizational data governance and control requirements. Develop and maintain data extracts, APIs, and automation routines as needed to improve procurement reporting and operational insights. Collaborate with team members through design discussions and peer code reviews; contribute to shared patterns, documentation, and technical hygiene. Identify opportunities to improve performance, reliability, and cost of data solutions; recommend and help pilot enhancements in collaboration with the broader data platform team. What you will need: Required Qualification: Bachelor's degree in computer science, supply chain management or related field required. Master’s degree preferred. 12+ years in Data Engineering, Business Intelligence, Information Systems, or related field (supply chain/procurement analytics experience is required ). Hands-on experience implementing data solutions in cloud environments (Azure preferred) and supporting production workloads. Demonstrated ability to deliver data products end-to-end (requirements, build, test, deploy, support) with measurable impact. Preferred Qualification: Strong analytical and problem-solving skills, with keen attention to detail. Excellent communication skills, capable of conveying technical concepts to non-technical stakeholders. Collaborative mindset with the ability to work effectively in cross-functional teams. Continuous improvement mindset with the ability to prioritize work and align solutions to business needs. Travel Percentage: 10%

Collected experience requirement

12+ years