• Develop, maintain, and deploy dashboards, reports, and self-service BI solutions. • Partner with business users to translate requirements into KPIs, metrics, and data models. • Design and implement semantic data models to support scalability and extensibility. • Perform data profiling, validation, and exploratory analysis. • Support ad-hoc analysis and data-driven decision-making. • Monitor report usage and performance, optimizing for query speed and usability. • Ensure data governance, security, and compliance practices are embedded. • Contribute to documentation, training, and user enablement.

• Design, build, and maintain scalable data pipelines that ingest, transform, and publish data from practice management, EHR, billing, finance, and operational source systems. • Develop and optimize SQL-based data models in Snowflake to support Power BI reporting, executive dashboards, recurring analytics, and ad hoc business analysis. • Use dbt or similar transformation frameworks to create tested, version-controlled, and documented data models. • Build data integration processes using APIs, SFTP files, flat files, database extracts, and third-party vendor feeds. • Create automated data quality checks, reconciliation processes, anomaly detection routines, and alerting to identify issues before they affect downstream reporting. • Partner with analytics, finance, RCM, and operations stakeholders to translate reporting needs into reliable data structures and reusable datasets. • Improve data reliability by standardizing definitions, mapping source system fields, documenting lineage, and resolving data inconsistencies across systems. • Tune query performance, manage large datasets efficiently, and troubleshoot pipeline failures or report performance issues. • Support secure data handling practices, access controls, and HIPAA-aligned data governance expectations for healthcare information. • Maintain clear technical documentation, including source-to-target mappings, transformation logic, data dictionaries, and operational runbooks. • Collaborate using Git-based workflows, code review, and deployment practices appropriate for production data environments. • Provide production support for scheduled data jobs, recurring reporting datasets, and critical analytics workflows.

Role Description Under the direction of the USL Technology & Data Strategy team, the Business Intelligence UWEP supports the department by assisting with maintaining and developing league-wide dashboards. The Participant will assume an integral role in the production of data analytics and distribution of the results. Duties and Responsibilities - Assist with the routine collection of data and updating of established Tableau dashboards. - Build Tableau dashboards to track performance in key metrics towards league goals and initiatives. - Identify opportunities to implement procedures for new data collection processes and/or data reporting. - Translate data across key revenue-driving verticals (e.g., ticketing, corporate partnerships, and consumer products) into targeted analyses, providing insights and recommendations to critical organizational stakeholders that lead to actionable business decisions. - Support ad-hoc requests for data; build reports, visualizations, executive dashboards, and presentations. - Act in a quality assurance role to ensure dashboards/reports are functioning correctly and to provide any recommendations for improvements. - Assist other departments and operational areas as requested to provide a well-rounded overview of working in sports. Qualifications - Participants must be working towards a bachelor’s or master’s degree in a related field and/or training and must certify that they are able to receive college course credit from an accredited college or university for their participation. - Solid computer skills and proficiency with MS Word, Excel, PowerPoint, Outlook are a must. - Excellent verbal and written communication skills are required. - Positive attitude and strong work ethic are a must. Must have a “team-first” mentality with an eagerness to learn. - Should be extremely organized and detail oriented, with a focus on quality and consistency. - While completing the USL Work Experience Program remotely, participants must have access to a computer or laptop with reliable internet connection. - Familiarity of Tableau, or another data visualization software. - Familiarity of SQL, or other programming languages. Requirements - Must be able to receive college course credit for participation. - Access to a computer or laptop with reliable internet connection. Benefits - Gain practical sport management experience in a professional sports league setting. - Work on various strategic projects and initiatives. - Interact with all league departments across the organization.

• Architect, build, and optimize distributed data pipelines using Apache Spark in a high‑volume, mission‑critical environment. • Design and maintain enterprise Lakehouse architecture with Delta Lake, ensuring ACID compliance, lineage, auditability, and data governance. • Develop automated ingestion frameworks (batch, streaming, and event‑driven) across multiple cloud services and integration points. • Enable machine‑learning workflows by preparing feature‑ready datasets and establishing reproducible ML deployment patterns. • Lead platform‑wide data quality, access control, and cataloging frameworks. • Implement advanced cost‑optimization, cluster tuning, and performance engineering strategies. • Collaborate with Finance, BI, Operations, and ML teams to translate complex business needs into scalable data solutions. • Own production reliability, troubleshooting, and root‑cause analysis for data and ML pipelines.