Data Quality Steward: Ensure Trusted Enterprise Data

RXinsider LTD.

United States

Remote

USD 90,000 - 130,000

Full time

14 days+
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Benefits offered by this job

401(k) matching
Medical, dental, vision, life, & short
Competitive pay structure
Supportive, fast-paced environment

Job summary

AssistRx, Inc. is seeking a Data Steward to ensure quality, integrity, and proper use of data across the organization, supporting enterprise data governance initiatives and day-to-day stewardship across master, transactional, and reference data.

The role collaborates with business and technical teams to maintain trusted data assets for critical decisions, participate in data quality reviews, and use tools like Excel, SQL, and MDM platforms to monitor and improve data quality.

Qualifications

  • Minimum 5+ years of experience with enterprise data and data quality.
  • Bachelor's degree in a related field or equivalent work experience.
  • Hands-on familiarity with data quality, stewardship, or MDM tools (Reltio, Informatica, Talend).
  • Proficiency with Excel; SQL or BI tools is a plus.

Responsibilities

  • Review and validate data for completeness, accuracy, and standards.
  • Identify and resolve data quality issues including duplicates and invalid values.
  • Collaborate with business users and data analysts to refine data requirements.
  • Support data audits and regulatory reporting using governance frameworks.

Skills

Data governance
Data quality
MDM tools
Communication

Education

Bachelor's degree

Tools

Reltio
Informatica
Talend
SQL

Job description

AssistRx, Inc. is seeking a Data Steward to ensure quality, integrity, and proper use of data across the organization, supporting enterprise data governance initiatives and day-to-day stewardship across master, transactional, and reference data.

The role collaborates with business and technical teams to maintain trusted data assets for critical decisions, participate in data quality reviews, and use tools like Excel, SQL, and MDM platforms to monitor and improve data quality.

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