Data Management Analyst

Data Management Analyst Job#: 3051467

Job Description:

Data Management Analyst

Location:

Oklahoma City, Oklahoma (Onsite)

Role Overview The Data Management Analyst supports engineering, operations, and administrative programs by ensuring the accuracy, standardization, and controlled use of enterprise data. This role applies advanced governance practices to improve data architecture, cross-system interoperability, and the reliability of regulatory reporting. The analyst builds and maintains technical BI datasets and dashboards sourced from complex data pipelines to support modeling and analytics.

Key Responsibilities Help establish data standards, definitions, and quality rules across programs.

Maintain metadata, data documentation, and governance records.

Monitor, document, and improve data quality within engineering, environmental, construction, ROW, project delivery, GIS, and HR systems.

Work with departments to address data issues and improve data entry practices.

Support system integrations and data flows by reviewing data structures.

Apply schema and API validation, lineage analysis, and integration standards to improve interoperability.

Build and maintain dashboards and reports for program performance, regulatory reporting, and operational insights.

Develop technical BI datasets sourced from complex data pipelines to support analytics and forecasting.

Collaborate on statewide data governance initiatives, standards, and policies.

Partner with data engineers, analysts, business users, and data owners to improve data reliability, accessibility, and usability.

Core Competencies Advanced SQL for complex queries, performance optimization, validation, and large-scale transformations.

Strong understanding of data governance principles including ownership, stewardship, metadata, lineage, and quality frameworks.

Ability to translate business requirements into technical data solutions such as metrics, KPIs, models, and dashboards.

Clear communication skills for technical and non-technical stakeholders and effective documentation practices.

Skill in designing dimensional and semantic models (star/snowflake) and medallion layer principles (Bronze/Silver/Gold).Ability to manage multiple priorities and deliver reliable artifacts for audits and regulatory reporting.

Required Qualifications

Education:

Bachelor’s degree in data management, information systems, computer science, engineering technology, or a related field.

Experience:

3+ years of experience in data governance, data management, or business intelligence.

Technical

Skills:

Hands-on experience with cloud data warehouses (e.g., Google Big Query), including table design, views, and dataset management.

Experience building enterprise data models (facts/dimensions, semantic layers) and ELT/ETL workflows.

Experience with BI tools (Looker Studio, Power BI, Tableau), including performance optimization.

Experience documenting data assets, including source-to-target mappings, data dictionaries, and transformation logic.

Preferred Background

Experience with Google Cloud Platform services (Big Query, Cloud Storage, Dataflow, Composer).Knowledge of Python or a similar scripting language for analysis, automation, and pipeline support.

Experience building governed analytics environments and reusable data models.

Looker Studio development experience, including design standards, blending, and parameter controls.

Experience implementing automated data quality monitoring, validation frameworks, and governance dashboards.

Other Requirements Must pass background checks.

This position is onsite or hybrid based on management direction.

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a…