Senior Content Analyst in India at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Content Analyst based in India.

This role is an opportunity to take ownership of high-impact payer and provider intelligence within a data-driven healthcare environment. You will ensure that complex, inconsistently structured records are accurately mapped into governed data hierarchies. The position combines US healthcare market-access expertise with hands-on data analysis, research, quality management, and governance. You will work across Product, Engineering, Content, Delivery, and Client Success teams in a global environment. You will also contribute to improving processes and operationalizing AI/ML-assisted mapping while maintaining appropriate human oversight. The role offers meaningful scope to influence data quality, product improvements, and scalable content operations.

• 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.

• 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.

• 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.