Job Description

Data Standards Maintenance and Quality Assurance: •Develop, document, and maintain our data standards; ensure data accuracy and completeness against data standards.

•Analyze data to ensure data completeness, quality, and accuracy; identify data issues and root causes.

•Communicate data quality issues to the management and stakeholders; provide recommendations for long-term solutions and best practices for data management and data quality assurance; coordinate with data producers, data consumers, business analysts, and developers to correct data quality issues.

•Work with Data Governance, Data Engineering, and Business Intelligence team members to develop and maintain data validation and observability practice as the process owner.

Business Engagement:

•Work in tandem with business departments and management to establish data needs; Communicate with management and business departments to identify data solutions and opportunities to leverage data to grow the business.
•Maintain Business requirement documentation, technical documentation and integration artifacts as necessitated.

Data Analysis:
•Identify data sources, analyze data elements for its completeness and accuracy; collect data source information such as business data element definitions, standards, and data lineage information; document findings in our data inventory and keep it up to date •Analyzing data and associated lineage to find patterns and trends, provide analysis results to the data management team for data storage, organization, integration, metadata management, and access solutions. •Analyzing data in Enterprise Data Warehouse and other managed data repositories to identify data issues, work with the business partners and data consumers to come up with solution recommendations. Data Consultation: •Provide internal consulting services and technical/subject matter expertise to data consumers •Develops educational documents and process to help data producers, consumers, and technical staff understand data contents, standards, lineage, and associated business workflows

SKILLS:
•Ability to read and write advanced SQL statements and python preferred
•Working knowledge of data storage, organization, and integration solutions
•Strong understanding of data warehousing techniques •Conceptual understanding of SSIS and cloud based ETL tools is required
•Working knowledge of SQL Server Management Studio and/or Snowsight.
•Working knowledge of Snowflake and Azure Data Lake Storage solutions preferred
•Strong analysis and troubleshooting skills of integration related issues
•Ability to organize tasks, timelines, and delivery schedules.
•Ability to communicate effectively at all levels of the organization.
•Managed care health plan and/or health care industry experience preferred.