Senior Content Analyst
New
J
JobgetherHealthcare data
Based in United States, global time zonesFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 3–5 years of experience in payer analytics, formulary or claims data management, content mapping, data governance, or a related discipline; combined 2+ years of experience working with United States healthcare data.
- Required Skills
- SQLMicrosoft Power BIMicrosoft ExcelData modeling
Requirements
- Bachelor’s or Master’s degree in Pharmacy, Biotechnology, Engineering, Life Sciences, or a related field.
- 3–5 years of experience in payer analytics, formulary or claims data management, content mapping, data governance, or a related discipline.
- At least 2 years of experience working with United States healthcare data.
- Strong understanding of formulary data, patient claims data, data quality, metadata management, data lineage, and data governance.
- Familiarity with payer and HCP/provider mapping, content research, SQL, data modeling, and database management systems.
- Experience with master data management, data profiling, and analytical tools.
- Advanced proficiency in Excel and Power BI for analysis, reporting, dashboarding, and data-quality monitoring.
- Understanding of data privacy, security, and regulatory compliance requirements.
- Ability to assess payer/provider structures and complex hierarchies, exercise sound judgment, and maintain attention to detail.
- Ability to document actionable steps, identify automation and process-improvement opportunities, and manage competing priorities.
- Experience mentoring peers and explaining complex data and mapping concepts to diverse audiences.
Responsibilities
- Map payer, plan, HCP, and provider records into governed hierarchies by reconciling inconsistent names, identifiers, relationships, and structures.
- Research and validate records, including plan types, parent organizations, controllers, PBM relationships, and provider affiliations.
- Assign confidence ratings, document mapping rationale, prepare outputs for senior validation, review junior-analyst mappings, and resolve complex exceptions.
- Validate, cleanse, profile, and enrich data; identify quality issues, analyze root causes, and recommend practical solutions.
- Maintain data dictionaries, lineage, metadata, governance policies, procedures, and standards.
- Monitor data integrity and develop or maintain data-quality dashboards, scorecards, and reports.
- Partner with Operations and adjacent teams to integrate data management and mapping processes into development and delivery workflows.
- Train end users on data management and mapping best practices, mentor peers, and transfer knowledge across the team.
- Support data privacy, security, and regulatory requirements and collaborate with data stewards and global stakeholders.
- Gather internal-user and client feedback and contribute to improvements in data products and processes.
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