Data Management Analyst
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Role details
Tech stack
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Job description
Join a forward-thinking organization as a Data Management Analyst and drive enterprise data quality, governance, and reporting excellence. Youβll collaborate with cross-functional teams to shape data standards and build impactful business intelligence assets that support engineering, operations, and regulatory programs. This is an opportunity to expand your skills in a dynamic, data-driven environment with clear paths for career advancement., * Establish and enforce data standards, definitions, and quality rules to optimize enterprise data usage.
- Maintain comprehensive metadata, data documentation, and governance records for audit and compliance.
- Monitor and improve data quality across engineering, environmental, construction, GIS, HR, and project delivery systems.
- Collaborate with stakeholders to resolve data issues and enhance data entry practices.
- Design, build, and manage technical BI datasets and dashboards from complex data pipelines.
- Support system integrations by reviewing data structures and implementing schema, API validation, and lineage analysis.
- Develop and optimize dashboards and reports for program performance, regulatory, and operational insights.
- Document data assets including data dictionaries, mappings, and transformation logic.
- Drive statewide data governance initiatives, policies, and best practices.
- Partner with data engineers, analysts, and business users to ensure data reliability, accessibility, and usability.
Requirements
Data Management, Data Analysis, Data Management, Data Analysis, Data Quality, Business Intelligence, Technical Support, Cross-Functional, Regulations, Operational Support, * Bachelorβs degree in data management, information systems, computer science, engineering technology, or related field.
- 3+ years in data governance, data management, or business intelligence.
- Advanced SQL skills for query writing, performance tuning, and large-scale data transformations.
- Hands-on experience with cloud data warehouses (Google BigQuery) and enterprise data modeling.
- Proficiency in BI tools: Looker Studio, Power BI, Tableau.
- Expertise in data governance, data quality management, metadata management, data lineage, ETL/ELT processes.
- Strong documentation and clear communication skills for technical and non-technical audiences.
Preferred Skills
- Experience with Google Cloud Platform: BigQuery, Cloud Storage, Dataflow, Composer.
- Python or similar scripting for analysis, automation, and pipeline support.
- Building governed analytics environments and reusable data models.
- Advanced Looker Studio development, including blending and parameter controls.
- Implementing automated data quality monitoring and governance dashboards.
Benefits & conditions
- Collaborative and supportive onsite/hybrid work environment.
- Influence statewide data governance standards and initiatives.
- Exposure to advanced cloud and BI technologies.
- Opportunities for professional development and career growth.
- Competitive compensation in a high-impact role.
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