Top Data & Analytics Jobs

Supports and oversees finance systems and operations for a public school division. Designs and maintains data interfaces, transfers, reporting systems, and system documentation; analyzes data integrity, dependencies, and performance; develops ad hoc reports; leads upgrades and maintenance; recommends process and system improvements; and resolves financial system issues. Collaborates with technical, finance, management, county, and vendor stakeholders while ensuring compliance with statutory requirements.

Analyzes casino marketing databases, campaigns, promotions, direct mail, and events. Maintains player-tracking data, develops SQL queries and reports, audits promotional setup, ensures data integrity, and evaluates campaign profitability and performance. Provides pre- and post-campaign analysis, identifies customer segments and acquisition opportunities, troubleshoots data issues with IT and vendors, and presents recommendations to marketing and management. Requires strong analytical, organizational, communication, and database skills.

Develop and optimize enterprise databases across Oracle, SQL Server, and MySQL. Build ETL/ELT pipelines, integrations, migrations, data models, and quality controls. Create Power BI datasets, semantic models, dashboards, and reports while optimizing performance and refreshes. Support database operations, security, DevSecOps, automation, cloud data services, and AI-enabled data engineering. Provide technical mentorship, documentation, troubleshooting, and cross-functional collaboration.

Leads the enterprise analytics organization, managing Analytics Engineers, Data Analysts, and BI Developers. Defines analytics strategy, delivers executive dashboards and operational reporting, establishes KPI and governance standards, builds semantic models and curated datasets, and drives self-service BI adoption. Partners with Engineering, Product, Finance, Operations, Customer Success, and executives to translate business needs into trusted analytical solutions while developing talent and prioritizing analytics initiatives.

Leads the enterprise analytics organization, managing Analytics Engineers, Data Analysts, and BI Developers. Defines analytics strategy; delivers executive dashboards, KPI scorecards, operational reporting, semantic models, and self-service BI. Establishes data governance and metric standards, ensures data quality, partners with Engineering, Product, Finance, Operations, and executives, and translates business questions into actionable analytical solutions. Mentors analytics talent and drives prioritization, adoption, and measurable business outcomes.

Design, build, and operate Azure-based data pipelines and integrations. Consolidate data from multiple sources into centralized SQL systems, perform transformations and field mapping, and maintain data warehouse capabilities. Troubleshoot quality, integrity, latency, security, and reliability issues while applying governance, monitoring, and SLA practices. Collaborate with engineers, analysts, and stakeholders in Agile pods to deliver reusable, analytics-ready data assets.

Develop and maintain Power BI reports, semantic models, dashboards, and DAX/Power Query logic. Write SQL queries against Snowflake, support data modeling and quality, and implement governance, security, access controls, and documentation. Build workflow automations with Microsoft Power Platform and SharePoint, explore AI-enabled capabilities, and collaborate with stakeholders to translate business needs into analytics solutions. Communicate insights, lead training, and support adoption of analytics products.

Design and develop cloud-based data platform solutions, including data pipelines, ingestion, transformation, cleansing, integrations, and data applications. Translate technical requirements into detailed designs, write reliable code, develop test automation, troubleshoot operational issues, tune batch and real-time processing, secure cloud data platforms, and implement CI/CD and monitoring. The role also involves advising client developers and defining efficient operational processes.

Collects and analyzes nursing program data, including completion, licensure, employment, and learning outcomes. Builds dashboards and reports, supports accreditation, identifies student performance gaps, and coordinates retention interventions with faculty and advisors. Provides non-academic student support, referrals, and workshops while collaborating with Title III leadership and university departments to improve nursing student achievement and program completion rates.

Summer 2027 internship supporting ERCOT’s Digital Technology Administration department across data operations, data product management, and grid research innovation. Interns will work on real electric-industry challenges, collaborate with ERCOT teams, and develop technical and professional skills. The role is full-time and requires on-site work in Taylor, Texas at least two days per week, with additional attendance based on business needs.