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Senior Staff Data Analyst

Reads like a Data Engineer role: pipelines and data infrastructure.

Gurugram, HR

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s listing: FULL_TIME
From the employer’s posting
Apply at Stryker

What you’ll work on

Full posting
  • Build and optimize ETL/ELT pipelines and orchestration workflows for procurement data

  • Design scalable data models and curated lake/warehouse data sets for analytics

  • Translate business reporting needs into user stories, data requirements, and technical tasks

  • Implement and monitor data quality checks and documentation

  • Build dashboards and reporting experiences using UI/UX practices and user feedback

From the employer’s posting
Build and optimize data pipelines, ETL/ELT processes, and orchestration workflows for procurement data from ERP systems and other sources
Design and implement scalable data models and curated data sets (lake/warehouse) to support analytics and reporting needs
translate them into clear user stories, data requirements, and technical tasks
Implement and monitor data quality checks and documentation
Contribute to user-friendly reporting and dashboard experiences by applying standard UI/UX practices and incorporating end-user feedback

What you’ll bring

All qualifications

Core experience

  • Bachelor's degree in computer science, supply chain management or related field required.
  • Excellent communication skills, capable of conveying technical concepts to non-technical stakeholders.
  • 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 experience

  • Master’s degree preferred.
Qualification wording
Bachelor's degree in computer science, supply chain management or related field required. Master’s degree preferred.
Excellent communication skills, capable of conveying technical concepts to non-technical stakeholders.
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.
Education & alternatives
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).

Tools in this posting

  • Azure
Source — Tool mentions in context
- 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.

Posting record

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Open 3 monthsWe first saw this listing 119 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jun 25, 2026 · 119 days ago
Recorded sightings
33
Last seen by us
Oct 22, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Your next step

  • Have your resume and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the pay range before committing time to the process.

Complete your application on careers.stryker.com. The employer’s form will show what is required.

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Job description

View original posting ↗

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.

              

Source details

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Pay

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Location & working pattern

Gurugram, HR

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