Senior Staff Data Analyst

Stryker Corporation; Gurugram District; Hybrid; INR 3,000,000 - 6,000,000; Full time

Job summary

Stryker Corporation in Gurugram, India, is seeking a senior data engineer for a hybrid role. You will partner with business stakeholders to translate analytics needs into data specs, and you will build and optimize procurement data pipelines and data models to support reporting.

Responsibilities include end-to-end data product delivery, data quality checks, governance compliance, and collaboration with cross-functional teams to improve performance, reliability, and cost of data solutions.

Qualifications

• 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.

Responsibilities

• Partner with stakeholders to translate analytics needs into user stories and data specs.
• Build and optimize data pipelines, ETL/ELT processes, and orchestration workflows for procurement data.
• Design scalable data models and curated data sets to support analytics and reporting needs.
• Implement data quality checks and documentation; support governance and control requirements.
• Develop and maintain data extracts, APIs, and automation routines to improve procurement reporting.
• Collaborate through design reviews and peer code reviews; share patterns and hygiene.
• Identify opportunities to improve performance, reliability, and cost with the data platform team.

Skills

Data Engineering

Business Intelligence

Information Systems

Cloud Data Solutions

Education

Bachelor's degree in computer science, supply chain management or related field

Master’s degree preferred

Tools

Azure

ETL/ELT tools

APIs

Job description

Work Flexibility: Hybrid

Stryker is one of the world’s leading medical technology companies and, together with its customers, is driven to make healthcare better. We offer innovative products and services in Orthopaedics, Medical and Surgical, and Neurotechnology and Spine that help improve patient and hospital outcomes. We are proud to be named one of the World’s Best Workplaces! For more information, visit: www.stryker.com

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.

Travel Percentage: 10%

Work Flexibility Remote – Role allows you to work the majority to 100% of time from an alternate workplace. These roles could have travel expectations, and you must work within the country of the job requisition location. Field-based – You can expect to regularly work a majority to 100% of time at customer facilities and has a set territory or expectation to travel within a set boundary. Almost all sales roles would likely be qualified as field-based. Onsite – Role is 100% located at a Stryker facility. Some ad hoc flexibility may be available depending on role, level, and job requirements. Manufacturing roles and any role that requires physical presence at the office would qualify under this category. Hybrid – You can expect to regularly work in both an alternate workplace and a Stryker facility. Roles that are partially remote or co-located would qualify as hybrid, and the expectation to be onsite would be defined and agreed upon by your manager/supervisor.

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.