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AI Summary
The role is responsible for ensuring data accuracy, consistency, completeness, and integrity across complex healthcare and pharmacy data environments. It involves performing data validation, reconciliation, profiling, and root-cause analysis.
This is a remote position.
We are looking for an experienced Data Quality & Reconciliation Lead with strong knowledge of Healthcare and Pharmacy data.
The role is responsible for ensuring data accuracy, consistency, completeness, and integrity across complex healthcare and pharmacy data environments.
Requirements
- 6+ years in Data Quality, Data Analysis, Data Engineering, Data Governance, or similar.
- Strong experience with Healthcare, Pharmacy, Pharmaceuticals, Life Sciences, or Health Insurance data.
- Strong SQL skills and experience working with large/complex datasets.
- Proven experience in data validation, reconciliation, profiling, and root-cause analysis.
- Good understanding of data models, ETL/ELT, data integration, and data governance.
- Strong analytical and stakeholder management skills.
- Fluent English.
Technical Skills
Experience with Snowflake, Databricks, Azure, Power BI/Tableau, Python, dbt, Informatica or similar tools is desirable.
Knowledge of healthcare/pharmacy data standards such as NDC, RxNorm, ATC, ICD, HL7 or FHIR is an advantage.
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