Senior Content Analyst

Accountabilities:: Payer and provider mapping: Map payer/plan and HCP/provider records into governed hierarchies by reconciling inconsistent names, identifiers, relationships, and structures from multiple sources into standardized entities. Content research and validation: Conduct online and source-based research to validate and enrich records, including plan types, parent organizations, controllers, PBM relationships, and provider affiliations. Quality control and exception management: Assign confidence ratings, document mapping rationale, prepare outputs for senior validation, review junior-analyst mappings, and resolve complex exceptions. Data quality management: Validate, cleanse, profile, and enrich data while identifying quality issues, analyzing root causes, and recommending practical solutions. Data governance: Help define data quality standards and maintain data dictionaries, lineage, metadata, governance policies, procedures, and standards. Data integrity and reporting: Monitor data integrity across systems and applications and develop or maintain data-quality dashboards, scorecards, and reports. Cross-functional operations: Partner with Operations and adjacent teams to integrate data management and mapping processes into development and delivery workflows. Knowledge sharing: Train end users on data management and mapping best practices while mentoring peers and transferring knowledge across the team. Compliance and stakeholder collaboration: Support data privacy, security, and regulatory requirements, participate in governance initiatives, and collaborate with data stewards and global stakeholders. Product improvement: Gather feedback from internal users and external clients, translate their needs into actionable insights, and contribute to meaningful improvements in data products and processes. Requirements Education: Bachelor’s or Master’s degree in Pharmacy, Biotechnology, Engineering, Life Sciences, or a related field. Relevant experience: 3–5 years of experience in payer analytics, formulary or claims data management, content mapping, data governance, or a related discipline. Healthcare data expertise: Strong understanding of formulary data, patient claims data, and data-management concepts including data quality, metadata management, data lineage, and data governance. Mapping and technical skills: Familiarity with payer and HCP/provider mapping, content research, SQL, data modeling, and database management systems. Data management: Experience with master data management, data profiling, and analytical tools, with a combined 2+ years of experience working with United States healthcare data. Analytics and reporting: Advanced proficiency in Excel and Power BI for analysis, reporting, dashboarding, and data-quality monitoring. Compliance knowledge: Understanding of data privacy, security, and regulatory compliance requirements. Preferred technical exposure: Experience with Reltio, Informatica, or other master data management platforms is valued, as is familiarity with Snowflake. Analytical judgment: Strong critical thinking, attention to detail, and the ability to understand payer/provider structures and the rules governing complex hierarchies. Operational mindset: Ability to translate broad assignments into documented, actionable steps while actively identifying opportunities for automation and process improvement. Communication and collaboration: Strong written, verbal, and presentation skills, with the ability to explain complex data and mapping concepts clearly to diverse audiences and work effectively across teams and cultures. Leadership and judgment: Demonstrated ability to mentor peers, provide constructive feedback, manage competing priorities, resolve conflicts, and exercise sound judgment in a fast-paced environment. Work authorization: Candidates must be legally authorized to work in the country of employment without employer sponsorship. Benefits Remote work: Remote position based in India, with collaboration across global time zones. Global environment: Opportunity to work cross-functionally with Product, Engineering, Content, Delivery, Client Success, and other stakeholders. Professional development: Exposure to healthcare data governance, payer and provider intelligence, master data management, analytics, and AI/ML-assisted mapping. Technical exposure: Opportunity to work with tools and practices spanning SQL, Excel, Power BI, data modeling, data quality, metadata, lineage, and potentially Reltio, Informatica, and Snowflake. Meaningful data impact: Contribute to the accuracy, integrity, scalability, and continuous improvement of healthcare intelligence assets used across products and delivery processes.