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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Strategy and Business Intelligence Lead (Data Analyst IV) - **Company:** TENNESSEE EDUCATION ASSOCIATION (THE) - **Location:** Austin, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Data Analysis, Data Architecture, Data Integration, Power BI, SQL Databases, Data Strategy, Data Analytics - **Published:** October 27, 2026 - **Apply:** https://www.dice.com/job-detail/688b129d-ce5f-49ac-94a5-32941f06d99b ## About the Role Education: Graduation from an accredited fouryear college or university Experience: At least [3] years of experience in progressively responsible experience in research, program evaluation, data analytics, performance measurement, business intelligence, statistical analysis, or a related field Substitutions: An advanced degree may substitute for two years of required experience Other Qualifications * Share the belief that all Texas students can achieve at high levels and are able to succeed in college, career, or the military. * Experience designing, developing, and maintaining analytical products and decisionsupport solutions that support operational, strategic, and executive decisionmaking. * Proficiency in Power BI, SQL, and business intelligence solution development, including data integration, transformation, querying, and modeling techniques. * Skilled in applying analytical and statistical methods to evaluate data, identify trends, and support evidencebased decisionmaking. * Strong technical writing and executive communication skills, with the ability to present complex data and analytical findings to diverse audiences. * Experience leading projects and collaborating with stakeholders to gather requirements and translate business needs into scalable dashboards, reports, and analytical products. * Ability to assess reporting, analytical, and visualization needs and independently develop solutions from concept through implementation. * Proven ability to communicate technical concepts to nontechnical audiences and build effective partnerships that support datainformed decisionmaking. * Demonstrated ability to learn complex program operations and apply analytical expertise to improve organizational performance and business outcomes. * Strong writing and presentation skills with the ability to synthesize literature, data analysis, and results for a variety of audiences. * Desire to selfreflect, give/receive feedback, and continuously improve. * Willingness to work as a contributing member of a team and foster positive and effective working relationships with a variety of individuals (including executive leadership) and groups, internal and external to TEA. ## Description * We are Determined: We are committed and intentional in pursuing our primary purpose of improving outcomes for students. * We are PeopleCentered: We strive to attract, develop, and retain committed talent that reflects the diversity of Texas, with each individual contributing to our shared vision for students. * We are Learners: We seek evidence, reflect on outcomes, and continuously improve in pursuit of excellence for students. * We are Servant Leaders: We are public servants committed to improving opportunities for students and supporting those who serve them., At the Texas Education Agency s Office of Governance (OG), we are driven by a powerful mission: to proactively support school systems, keep students safe, and uphold Texas education law with integrity, objectivity, and excellence. Our core workstreams Field Support and Compliance & Investigations focus on strengthening governance, fostering a culture of accountability, and promoting continuous improvement across Texas schools. By working closely with school systems and agency teams, we help ensure every Texas public school student has access to a safe, highquality education. The Data Strategy and Business Intelligence Lead serves as the Office of Governance s technical lead for enterprise analytics, business intelligence, and decisionsupport products. The position partners directly with programarea directors and staff to learn program operations, assess data analysis and visualization needs, and translate operational and strategic questions into welldefined analytical requirements, performance measures, dashboards, reports, and other decisionsupport products. The Data Strategy and Business Intelligence Lead is responsible for the design, development, validation, implementation, and continuous improvement of analytical products, with primary responsibility for independently advancing dashboards and reports from initial discovery through nearfinal completion in accordance with agreed requirements and specifications. Serves as a trusted advisor to leadership and program teams, establishes sound technical approaches, and transforms complex and fragmented information into reliable, accessible, and decisionready insight. Works under minimal supervision with extensive latitude for initiative and independent judgment, within the office s strategic direction, priorities, and governance framework., Job duties are not limited to the essential functions mentioned below. You may perform other functions as assigned. 1. DecisionSupport Product Development: leads the design, development, implementation, and continuous improvement of enterprise dashboards, reports, and analytical products that address defined operational and leadership needs; translates business questions and program processes into product requirements, integrates information from multiple systems and program areas, and develops clear, accessible tools that provide reliable visibility into performance, workload, processes, and outcomes; and manages analytical products through the full lifecycle, including discovery, requirements gathering, prototyping, development, validation, deployment, documentation, user adoption, maintenance, and retirement or replacement 2. Program Discovery, Requirements, and Technical Consultation: partners with programarea directors, data owners, subjectmatter experts, and end users to understand program goals, business processes, information gaps, and decision needs; facilitates discovery and requirements sessions; defines measures, business rules, visualizations, user experiences, and acceptance criteria; reconciles competing perspectives; and converts agreed requirements into practical product specifications; and provides expert consultation on reporting, performance measurement, data interpretation, and product design, and communicates technical concepts clearly to technical and nontechnical audiences 3. Data Architecture, Governance, and Reporting Standards: develops, recommends, implements, and maintains technical standards for data modeling, reporting architecture, metric definitions, data quality, documentation, and information delivery; works with program areas and data owners to identify authoritative sources, reconcile definitions and business rules, establish validation controls, and improve the consistency, accessibility, and reliability of information used in office reporting; and applies common standards across analytical products and documents solutions sufficiently to support maintenance and continuity 4. Innovation, Consultation, and Organizational Capacity Building: designs analytical frameworks, methodologies, and performance indicators that help leadership and program teams understand organizational performance, workload, trends, risks, opportunities, and outcomes; conducts targeted analyses of significant operational, programmatic, and strategic questions; evaluates the integrity and appropriate interpretation of results; and translates findings into technically sound conclusions and actionable recommendations; and develops guidance and resources that support consistent interpretation, effective use, and adoption of analytical products 5. Automation and Analytical Capability Improvement: identifies and evaluates opportunities to improve data collection, transformation, reporting, and information delivery through automation, artificial intelligence, and other appropriate technologies; develops practical improvements that reduce manual effort and strengthen reliability while maintaining appropriate review, documentation, continuity, and responsible use; and monitors implemented solutions and adjusts them based on performance, user feedback, and changing business needs