Senior Data Analyst
New
M
Metova TalentHealthcare Data
United StatesContractSenior
Salary not disclosed
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Job Details
- Experience
- 7+ years of experience working with databases; 3+ years of hands-on Snowflake experience
- Required Skills
- SQLSnowflakeHIPAA
Requirements
- 7+ years of experience working with databases.
- 3+ years of hands-on Snowflake experience.
- Expert-level SQL development skills, including complex queries, dynamic SQL, stored procedures, reconciliation, and data profiling.
- Strong knowledge of Snowflake Dynamic Tables, Materialized Views, RBAC, data governance, and security.
- Experience with enterprise data architecture and data warehouse design.
- Strong knowledge of dimensional modeling, Star/Snowflake schemas, source-to-target mapping, data lineage, metadata management, and MDM concepts.
- Experience preparing and standardizing data for AI and advanced analytics.
- Strong experience working with healthcare data (Claims, Membership, Provider, Health Plans).
- Experience with data quality, automated testing frameworks, and scorecards.
- Knowledge of data governance frameworks and HIPAA awareness.
- Strong business analysis and requirements-gathering skills.
- Excellent stakeholder management, communication, and cross-functional collaboration skills.
Responsibilities
- Analyze, design, and support enterprise data solutions using Snowflake and advanced SQL.
- Develop complex SQL queries, stored procedures, dynamic SQL, joins, and subqueries.
- Design and optimize Snowflake solutions using Dynamic Tables, Materialized Views, and Role-Based Access Control (RBAC).
- Perform data profiling, reconciliation, anomaly detection, and data quality analysis.
- Support enterprise data architecture and data warehouse initiatives, including dimensional modeling and Star/Snowflake schemas.
- Prepare and standardize data assets for AI, machine learning, and advanced analytics use cases.
- Analyze and validate healthcare data across claims, membership, provider, and health plan domains.
- Develop test plans and execute source-to-target validation, reconciliation, and data quality testing.
- Support data governance, metadata management, data cataloging, and MDM initiatives.
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