Coordinator 2, Instructional Data Analytics & Product Strategy

Houston Independent School District•Houston, TX

51d•$85,000 - $105,000•Onsite

About The Position

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.

Requirements

Bachelor’s degree required.
Minimum of 4–6 years of experience in data analytics, business intelligence, instructional analytics, educational technology systems, or related analytical roles.
Advanced analytical and problem-solving skills with the ability to interpret complex datasets and identify meaningful trends
Proficiency in Power BI, Microsoft Fabric, Excel, and data visualization/reporting tools
Strong working knowledge of Power Query, SQL, and/or data transformation tools
Ability to design, validate, and troubleshoot dashboards, reporting systems, and analytics workflows
Understanding of data validation, data quality, governance, and reporting accuracy practices
Familiarity with statistical analysis, evaluation methodologies, and/or impact-analysis interpretation
Ability to translate instructional systems, educational terminology, and platform behavior into accurate analytics frameworks and reporting logic
Ability to communicate technical analytics clearly to non-technical and instructional stakeholders
Strong organizational, documentation, and project management skills
Ability to independently manage multiple complex projects and priorities in evolving environments

Nice To Haves

Preferred degree areas include: Data Analytics, Data Science, Statistics, Information Systems, Computer Science, Mathematics, Engineering, Business Analytics, Educational Data Science, Instructional Technology, or a related analytical or technical field.
Experience working within K–12 education systems, instructional programs, educational technology, or curriculum environments strongly preferred.
Building and validating dashboards and reporting systems using Power BI and/or Microsoft Fabric
Data transformation and modeling using Power Query, SQL, Excel, and related tools
Supporting or collaborating on ETL processes, data pipelines, semantic models, or analytics infrastructure
Educational data analysis, digital resource reporting, or instructional analytics
Statistical analysis, evaluation methodologies, or impact-study interpretation
Reviewing and validating vendor-provided reports, analytics, or reporting methodologies
Working cross-functionally with academic teams, technical teams, vendors, and leadership stakeholders
Experience within K–12 education, educational technology, or instructional program environments strongly preferred.

Responsibilities

Design, build, validate, and maintain dashboards, reports, semantic models, and visualizations using Power BI, Microsoft Fabric, Excel, and related analytics tools.
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.
Transform, clean, validate, and analyze complex datasets using Power Query, SQL, Excel, Fabric, and related tools to support reporting accuracy, scalability, and usability.
Collaborate with technical analytics and engineering staff to support ETL processes, data pipelines, Lakehouse environments, semantic models, and backend table validation within Microsoft Fabric.
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.
Analyze instructional platform usage, implementation fidelity, assessment performance, and student outcome data to support strategic planning, program monitoring, and instructional decision-making.
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.
Develop and maintain reporting systems that integrate multiple data sources, including student information systems, assessment platforms, survey data, and instructional technology platforms.
Troubleshoot data discrepancies, conduct root-cause analysis, and resolve reporting or data integrity issues across systems and dashboards.
Support the development and operationalization of district reporting frameworks, metric definitions, validation procedures, and dashboard standards.
Develop guidance, documentation, and resources that help stakeholders interpret dashboard metrics, understand reporting limitations, and use data effectively to support instructional outcomes.
Facilitate cross-functional collaboration between academic teams, vendors, technology teams, and district leadership to improve analytics systems, reporting quality, and data-informed decision-making.
Provide technical guidance and support to staff regarding dashboards, reporting systems, analytics tools, and data best practices.
Stay current on emerging analytics technologies, data visualization practices, instructional technology systems, and educational data methodologies.
Perform other job-related duties as assigned.