Data Analyst III
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Job Location:
Houston, MS - USA
Monthly Salary:
Not Disclosed
Posted on:
7 days ago
Vacancies:
1 Vacancy
Job Summary
Job Summary:
The Data Analyst III role supports enterprise data initiatives by focusing on data understanding mapping and metadata management. This position collaborates with business stakeholders data engineers and architects to document data flows define data mappings and curate high-quality metadata. The core data platform is Snowflake.
The Data Analyst III role supports enterprise data initiatives by focusing on data understanding mapping and metadata management. This position collaborates with business stakeholders data engineers and architects to document data flows define data mappings and curate high-quality metadata. The core data platform is Snowflake.
Location:Houston Texas United States
Responsibilities:
- Create and maintain source-to-target mappings data flow diagrams and transformation logic documentation.
- Analyze source systems and tables to document data lineage relationships and dependencies.
- Partner with data engineers and architects to validate mappings and ensure alignment with data models.
- Publish and maintain data assets schemas tables columns and glossary terms.
- Document business definitions data ownership freshness and usage guidance.
- Curate and maintain trusted data catalogs to support governance and self-service data discovery.
- Ensure metadata accuracy completeness and consistency.
- Use SQL to analyze datasets for data understanding completeness and quality.
- Validate data transformations and downstream consumption against documented mappings.
- Support impact analysis by identifying affected data assets using lineage and metadata.
- Serve as a bridge between business engineering and governance teams for data understanding.
- Support governance observability and audit readiness through strong documentation and metadata practices.
- Contribute to standards and best practices for data documentation and metadata management.
- Create and maintain source-to-target mappings data flow diagrams and transformation logic documentation.
- Analyze source systems and tables to document data lineage relationships and dependencies.
- Partner with data engineers and architects to validate mappings and ensure alignment with data models.
- Publish and maintain data assets schemas tables columns and glossary terms.
- Document business definitions data ownership freshness and usage guidance.
- Curate and maintain trusted data catalogs to support governance and self-service data discovery.
- Ensure metadata accuracy completeness and consistency.
- Use SQL to analyze datasets for data understanding completeness and quality.
- Validate data transformations and downstream consumption against documented mappings.
- Support impact analysis by identifying affected data assets using lineage and metadata.
- Serve as a bridge between business engineering and governance teams for data understanding.
- Support governance observability and audit readiness through strong documentation and metadata practices.
- Contribute to standards and best practices for data documentation and metadata management.
Required Skills & Certifications:
- Bachelors degree in Analytics Information Systems Computer Science or related field.
- Strong SQL skills with hands-on experience querying.
- Experience creating data mapping documents lineage and technical data documentation.
- Familiarity with metadata management and data catalog concepts.
- Strong analytical documentation and communication skills.
- Bachelors degree in Analytics Information Systems Computer Science or related field.
- Strong SQL skills with hands-on experience querying.
- Experience creating data mapping documents lineage and technical data documentation.
- Familiarity with metadata management and data catalog concepts.
- Strong analytical documentation and communication skills.
Preferred Skills & Certifications:
- Hands-on experience with metadata management tools.
- Experience working with ELT pipelines and data warehouses.
- Familiarity with data governance data quality or observability practices.
- Exposure to AWS-based data ecosystems.
- Experience supporting enterprise or ERP-driven data platforms.
- Hands-on experience with metadata management tools.
- Experience working with ELT pipelines and data warehouses.
- Familiarity with data governance data quality or observability practices.
- Exposure to AWS-based data ecosystems.
- Experience supporting enterprise or ERP-driven data platforms.
Special Considerations:
- Complete and accurate data mappings aligned with implementations are expected.
- High-quality trusted metadata curated is expected.
- Reduced data ambiguity and faster onboarding for downstream users is expected.
- Improved governance lineage visibility and impact analysis is expected.
- Complete and accurate data mappings aligned with implementations are expected.
- High-quality trusted metadata curated is expected.
- Reduced data ambiguity and faster onboarding for downstream users is expected.
- Improved governance lineage visibility and impact analysis is expected.
Scheduling:
- Not specified.
- Not specified.
