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Inari Medical

Senior Data Integrity Analyst - Remote

Posted 7 Days Ago
In-Office or Remote
Hiring Remotely in Dallas, TX
70K-144K Annually
Senior level
In-Office or Remote
Hiring Remotely in Dallas, TX
70K-144K Annually
Senior level
As a Senior Data Integrity Analyst, you will ensure data accuracy, handle field asset issues, lead data initiatives, coordinate with stakeholders, and drive continuous improvement in data quality and compliance.
The summary above was generated by AI
Work Flexibility: Remote

Senior Data Integrity Analyst –  Remote

 
As a Senior Data Integrity Analyst, you will play a critical role in advancing data accuracy, regulatory compliance, and product traceability across Stryker’s Endoscopy Division. This is an exciting opportunity to lead high‑impact initiatives, influence cross‑functional teams, and strengthen data integrity across complex enterprise systems.

What you will do

  • Investigate field asset data issues using enterprise systems to ensure accuracy, completeness, consistency, and validity across 100% of assigned assets.
  • Serve as the first point of escalation for field asset issues, resolving or routing requests within defined service‑level expectations.
  • Lead and coordinate regulatory and quality assurance data initiatives, including requirements definition, testing oversight, documentation updates, and governance activities.
  • Analyze and report field asset data trends, delinquency status, and risk indicators through dashboards and standardized reporting used by cross‑functional stakeholders.
  • Educate sales and field teams on compliant field asset program requirements, ensuring consistent execution and accountability.
  • Research and determine best pathways for resolving missing or non‑compliant assets, including contract, warranty, and inventory disposition decisions.
  • Communicate timely status updates on delinquent or high‑risk assets to key stakeholders and escalate issues to service, technical, or installation leadership as needed.
  • Drive continuous improvement by identifying data quality gaps, proposing system or process enhancements, and supporting initiatives that improve efficiency, compliance, and traceability.

What you will need

Required Qualifications

  • Bachelor’s degree.
  • 2+ years of experience in data integrity, data analysis, quality, regulatory, or a related role.
  • Experience working with enterprise data systems or databases.
  • Experience designing, maintaining, or using dashboards and data metrics for decision‑making.

Preferred Qualifications

  • Experience supporting quality assurance or regulatory data initiatives in a regulated industry.
  • Experience with process improvement or data quality enhancement projects.
  • $69,500.00 - $144,200.00 salary plus bonus eligible + benefits. Individual pay is based on skills, experience, and other relevant factors.
    Posted: March 20, 2026

Travel Percentage: 10%

Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer – M/F/Veteran/Disability.

Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.

Top Skills

Dashboards
Databases
Enterprise Data Systems

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