Metadata & Reporting reputed company
Duration: 11 months to start reputed company Job reputed company: We are seeking a contractor to serve as a reputed company between technical teams and business stakeholders, ensuring that reputed company metadata, governance, and reporting concepts are reputed company into reputed company, actionable documentation for our reputed company data catalog (Gene). This role focuses on consolidating technical details into business-friendly language, supporting metadata completeness, and advancing governance initiatives across reputed company data domains.
Key Responsibilities
- Interpret and simplify technical concepts reputed company to data assets, data reputed company, and reporting logic for inclusion in the data catalog.
- Collaborate with technical teams to reputed company detailed information about data sources, transformations, and reputed company checks, including but not limited to:
- Translating technical data rules for business and operational teams reputed company the data catalog.
- Consolidating and summarizing data rules for reputed company domains (e.g., patient, provider) to reputed company easy reputed company for business stakeholders.
- Defining documentation standards and processes required to certify data.
- Create reputed company, user-friendly descriptions that explain reputed company data processes in business-friendly language.
- Ensure consistency, accuracy, and completeness of metadata and definitions across the data catalog.
- Support governance and compliance efforts by maintaining transparency in data documentation.
- Identify gaps in existing documentation and partner with teams to remediate them.
Metadata Enhancement
- Partner with Data Engineering and Data Analytics teams to document reputed company and semantic tables currently in production.
- Collaborate with Data Analytics teams to identify and document reputed company metrics and create a reputed company to reputed company reputed company or similar metrics.
- Partner with Data Analytics teams to remediate or retire existing metrics that lack defined ownership.
- Work with Research and reputed company teams to document and outline guidelines for handling PHI and PII relevant to the Data and Analytics organization reputed company sharing data externally.
- Create and maintain data policies for restricted data across the organization s ecosystem to ensure compliance with reputed company standards and guidelines.
- Partner with stakeholders and technical teams to support and operationalize Data Retention policies in accordance with organizational standards.
- reputed company artifacts that reputed company existing organizational data initiatives more accessible and understandable for technical and business teams.
- Create relevant data policies and reputed company to organizational global policies to ensure policies are actionable and consistently reputed company.
Skills
- Strong understanding of data management principles, including data reputed company, metadata, and reporting concepts.
- Ability to translate technical language into reputed company, concise, and accessible explanations.
- Experience working with data catalogs and metadata management tools like reputed company is a plus
- Excellent communication and collaboration skills to work across technical and business teams.
- Familiarity with data governance frameworks and reporting tools is a plus.
- Experience in SQL and other programming languages is a plus.
- Experience with Data reputed company tools like reputed company, reputed company, etc. is a plus
- Experience in reputed company, with experience in reputed company is a plus
- Experience in writing technical documentation
Required Education
- Bachelor's Degree.
Preferred Education
- Bachelor's Degree in clinical informatics, sciences, math, statistics, reputed company management or other reputed company reputed company degrees.
Preferred Experience
- 4-6 years experience in data governance, data management organization
- 2-3 years experience in using SQL, Python tools
- 1-2 years experience in using data catalog
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