Senior Content Analyst

Accountabilities: • Map payer, plan, HCP, and provider records into governed hierarchies by reconciling inconsistent names, identifiers, relationships, and structures across multiple data sources.

• Conduct online and source-based research to validate and enrich records, including plan types, parent organizations, PBM relationships, provider affiliations, and other relevant attributes.

• Assign confidence ratings, document mapping rationale, prepare outputs for senior review, and perform quality control on junior-analyst work.

• Monitor, cleanse, validate, and enrich data while identifying and resolving exceptions and recurring data-quality issues.

• Establish and maintain data quality standards, data dictionaries, metadata, data lineage, governance policies, procedures, and documentation.

• Conduct data profiling and analysis, identify root causes of data-quality problems, and recommend practical improvements.

• Develop and maintain data-quality dashboards, scorecards, reports, and other data-management tools using modern analytics technologies.

• Collaborate with Product, Engineering, Operations, Content, Delivery, and Client Success teams to integrate data-management processes into development and delivery workflows.

• Support continuous improvement and automation initiatives, including the responsible operationalization of AI/ML-assisted mapping with appropriate human oversight.

• Train colleagues and end users on data-management, mapping, governance, and quality best practices.

• Help ensure data-management practices align with applicable privacy, security, and regulatory requirements.

• Gather feedback from internal users and external clients and translate their needs into meaningful improvements to data products and processes.

Requirements

• Bachelor’s or Master’s degree in Pharmacy, Biotechnology, Engineering, Life Sciences, or a related discipline.

• 3–5 years of relevant experience in payer analytics, formulary or claims data management, content mapping, data governance, or a closely related field.

• Strong understanding of formulary data, patient claims data, data quality, metadata management, data lineage, and data governance principles.

• Experience with payer and/or HCP/provider mapping, content research, SQL, data modeling, and database management systems.

• Experience with master data management (MDM), data profiling, and data-analysis tools.

• At least 2 years of combined professional experience working with United States healthcare data.

• Advanced proficiency in Excel and Power BI for analysis, reporting, visualization, and dashboard development.

• Knowledge of data privacy, security, and regulatory compliance requirements.

• Experience with Reltio, Informatica, or comparable master data management platforms is desirable.

• Familiarity with Snowflake is a plus.

• Strong analytical thinking, attention to detail, critical reasoning, and the ability to work effectively in a fast-paced environment.

• Ability to translate complex data and mapping concepts into clear, actionable communication for technical and non-technical stakeholders.

• Strong written, verbal, presentation, collaboration, task-management, and conflict-resolution skills.

• Demonstrated ability to mentor colleagues, share knowledge, exercise sound judgment, and identify opportunities for automation and process improvement.

• Comfortable collaborating with global stakeholders across different teams, cultures, and time zones.

• Must be legally authorized to work in India without employer sponsorship.

Benefits

• Remote work opportunity within India.

• Exposure to global healthcare data, market-access analytics, and payer/provider intelligence.

• Opportunity to work with cross-functional teams spanning Product, Engineering, Content, Delivery, and Client Success.

• Hands-on involvement in data governance, master data management, analytics, and AI/ML-assisted data operations.

• Professional development through knowledge sharing, mentoring, and exposure to modern data-management practices.

• Opportunity to contribute directly to data quality, operational efficiency, and product improvements.

• Compensation and other employment benefits are determined by the hiring company and applicable local employment terms.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?

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