Coordinator , Instructional Data Analytics & Product Strategy
Job in
Houston, Harris County, Texas, 77020, USA
Listed on 2026-06-16
Listing for:
Houston Independent School District
Full Time
position Listed on 2026-06-16
Job specializations:
-
IT/Tech
Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, Data Engineering
Job Description & How to Apply Below
Location:
Hattie Mae White
Department:
Data Analysis & Operations
Area:
District Wide
Contract Months:12
Salary Range: $85,000.00 - $
Academic Year: 26-27
JOB SUMMARY
The Coordinator II - Instructional Data Analytics & Product Strategy is a lead analyst responsible for developing and maintaining instructional analytics, dashboards, reports, semantic models, and data workflows using Power BI, Microsoft Fabric, Power Query, SQL, and Excel. The role requires hands-on experience validating Lakehouse data, supporting dataflows and pipelines, troubleshooting refresh and data-quality issues, and collaborating with data engineering teams on ETL, data modeling, and source-system integration.
This position partners with academic teams, vendors, technology staff, and district leaders to translate instructional programs, platform usage, assessment data, implementation fidelity, and student outcomes into accurate, scalable reporting frameworks while also supporting vendor analytics reviews, impact studies, metric definition, documentation, validation procedures, and stakeholder use of data to improve instructional planning and student outcomes.
MAJOR DUTIES & RESPONSIBILITIES
1. Design, build, validate, and maintain dashboards, reports, semantic models, and visualizations using Power BI, Microsoft Fabric, Excel, and related analytics tools.
2. Design and maintain governed ETL/ELT pipelines, Delta Lake tables, and Lakehouse ingestion workflows in Microsoft Fabric - spanning vendor SFTP/API integrations and audit-ready transformation logic - to ensure reliable, traceable data delivery across instructional analytics domains.
3. Transform, clean, validate, and analyze complex datasets using Power Query, SQL, Excel, Fabric, and related tools to support reporting accuracy, scalability, and usability.
4. Collaborate with technical analytics and engineering staff to support ETL processes, data pipelines, Lakehouse environments, semantic models, and backend table validation within Microsoft Fabric.
5. Partner with academic teams, vendors, and stakeholders to translate instructional program structures, platform behavior, assessment systems, and educational terminology into technically accurate reporting logic and analytics frameworks.
6. Analyze instructional platform usage, implementation fidelity, assessment performance, and student outcome data to support strategic planning, program monitoring, and instructional decision-making.
7. Review, validate, and interpret vendor-provided analytics, dashboards, and impact-study methodologies to ensure reporting accuracy, appropriate comparison structures, and meaningful interpretation of student outcomes.
MAJOR DUTIES & RESPONSIBILITIES CONTINUED
8. Develop and maintain reporting systems that integrate multiple data sources, including student information systems, assessment platforms, survey data, and instructional technology platforms.
9. Troubleshoot data discrepancies, conduct root-cause analysis, and resolve reporting or data integrity issues across systems and dashboards.
10. Support the development and operationalization of district reporting frameworks, metric definitions, validation procedures, and dashboard standards.
11. Develop guidance, documentation, and resources that help stakeholders interpret dashboard metrics, understand reporting limitations, and use data effectively to support instructional outcomes.
12. Facilitate cross-functional collaboration between academic teams, vendors, technology teams, and district leadership to improve analytics systems, reporting quality, and data-informed decision-making.
13. Provide technical guidance and support to staff regarding dashboards, reporting systems, analytics tools, and data best practices.
14. Stay current on emerging analytics technologies, data visualization practices, instructional technology systems, and educational data methodologies.
15. Perform other job-related duties as assigned.
EDUCATION
Bachelor's degree required. Preferred degree areas include:
Data Analytics, Data Science, Statistics, Information Systems, Computer Science, Mathematics, Engineering, Business Analytics, Educational Data Science, Instructional…
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