Note: The job is a remote job and is open to candidates in USA. AssistRx is hiring a Data Steward to ensure the quality, integrity, and appropriate use of enterprise data. The role supports data governance initiatives by validating data, resolving quality issues, managing stewardship workflows, documenting metadata, and collaborating with business and technical stakeholders.
Responsibilities
- Review and validate enterprise data to ensure completeness, accuracy, and alignment with defined data standards
- Identify, investigate, and resolve data quality issues including duplicates, inconsistencies, and missing or invalid values
- Collaborate with business users and data analysts to refine data requirements and enforce data standards
- Participate in data quality reviews and assist with implementing corrective and preventative actions
- Manage stewardship workflows for data quality exceptions, including tasks related to matching, merging, or enrichment
- Support onboarding and validation of new data sources across transactional and reference systems
- Partner with data governance council to maintain and enforce policies related to data access, lineage, classification, and quality
- Document business metadata, data definitions, and stewardship procedures
- Assist with data profiling and root cause analysis across operational and analytical datasets
- Use tools such as Excel, SQL, and MDM or data quality platforms (e.g., Reltio) to monitor and manage data quality
- Provide support for data audits, regulatory reporting, or operational processes dependent on high-quality data
- Communicate with cross-functional stakeholders to resolve data issues and gather feedback
- Stay current on data governance and stewardship best practices, especially in regulated industries such as healthcare
- Perform other related duties as assigned by management
Skills
- 5+ years of relevant experience with enterprise data, assessing data quality, and collaborating with business users on data workflows
- Or equivalent work experience
- Familiarity with data quality, stewardship, or MDM tools (e.g., Reltio, Informatica, Talend)
- Basic understanding of data matching, normalization, and cleansing processes
- Strong attention to detail and a process-oriented mindset
- Clear written and verbal communication skills
- Ability to interpret business requirements and translate them into data rules or checks
- Comfortable collaborating across departments in a dynamic environment
- Bachelor's degree in Business, Information Systems, Health Informatics, or a related field
- Proficiency with Microsoft Excel; working knowledge of SQL or business intelligence tools is a plus
Company Overview
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