Title: Member Care Admin - Data Solutions Analyst Location: 8945 Cal Center Dr, Sacramento, CA 95826, USA Job Description: TITLE: Data Solutions AnalystSTATUS: ExemptREPORTS TO: VP - Operations Planning Governance and AdministrationDEPARTMENT: Member Care AdminJOB CODE: 11399 PAY RANGE: $77,500.00 - $79,000.00 Annually GENERAL DESCRIPTION: The Data Solutions Analyst will provide data-driven technical support by serving as liaison to operations processes while working within our data warehouse to ensure exceptional member service. The core function of the analyst will be exploratory data analysis to present custom and visually appealing data-driven insights targeted at efficiency, discernment, and cost avoidance. This role will work on moderately complex, high impact, and high visibility business projects by presenting predictive options as well as prescriptive actions to everyone from front-line associates to senior executives. This position requires aptitude, attention to detail, cross-discipline collaboration, with a skillset focus on knowledge discovery via the data warehouse. TASKS, DUTIES, FUNCTIONS: - Demonstrate understanding of data and KPI’s while holding oneself and others accountable to Golden 1 principles of member commitment to service excellence. - Understands and utilizes Golden 1 data warehouse model to write, maintain, and deploy custom T-SQL scripts primarily, but not exclusively, via Microsoft SSMS. - Conduct exploratory data investigation resulting of the interplay between operational process and source data representation, implementing code changes and quality controls as necessary. - Interpret and synthesize ad hoc data requests originated from business partners, teasing out precise verbiage and root cause to provide accurate and tailored quantitative guidance. - Develop and curate custom data sets for inspired and poignant Power BI data visualizations that are effective at every level of the organization. - Build relationships and think critically about people, process, and technology to identify areas for streamlining and improvement. - Embody and promote integrity of the Golden 1 data governance strategy, partner with our IT and Data Warehouse teams to provide research and support at each level of the ETL process. PHYSICAL SKILLS, ABILITIES, AND EXERTION UTILIZED IN THE PERFORMANCE OF THESE TASK: - Effective oral and written communication skills required to assist other staff, constructively follow-up on member inquiries, communicate clearly with management, and perform other related tasks. - Must possess sufficient manual dexterity to skillfully operate an on-line computer terminal and other standard office equipment, such as financial calculators, personal computer, facsimile machine and telephone. ORGANIZATIONAL CONTACTS & RELATIONSHIPS: - INTERNAL: All business units and departments as needed. - EXTERNAL: Federal, state, and local law enforcement, vendors and business partners, and industry peers as needed. QUALIFICATIONS: - EDUCATION: - Bachelor’s degree in related field with a data-centric curriculum preferred (Math, Computer Science, Statistics, etc.) - EXPERIENCE: - Minimum 1-5 years of hands-on experience or demonstrable attitude/aptitude/technical equivalent. - KNOWLEDGE / SKILLS: - Must pass programming technical assessment of candidate’s choice – most common are SQL, R, or Python though other languages will be considered. - Must pass Microsoft Excel technical assessment. - Thrives when multitasking and works best in a dynamic environment with high visibility projects and timelines with varying urgency and ownership deadlines. - Naturally inquisitive with an innate patience and attention to detail - Demonstrates reliable and on-time attendance within a hybrid work environment. - Passion for creating appealing visualizations within the Microsoft suite of products that drive home the results of your analysis. - Communicates in a clear, concise, and timely manner and operates effectively as a team player. - Committed to self-directed, on the job technical skill progression with assistance from and within a community of Data Analysts that are all working in a rapidly evolving field. - Demonstrated understanding of BI concepts and proven success in working with different technology (including new software tools and systems implementations) and able to learn, set up and champion new and best-in-class approaches. - Experience in building best practices and influencing BI system and data architecture to allow for, build or optimize key data correlations within and across business functions. - Advanced skills in Microsoft Excel or Google Sheets. PHYSICAL REQUIREMENTS: - Prolonged sitting throughout the workday with occasional mobility required. - Corrected vision within the normal range. - Hearing within normal range. A device to enhance hearing will be provided if needed. - Occasional movements throughout the department daily to interact with staff, accomplish tasks, etc. LICENSES / CERTIFICATIONS: N/A Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #LI-Remote THIS JOB DESCRIPTION PROVIDES AN OVERVIEW OF THE GENERAL SCOPE AND LEVEL OF WORK EXPECTED TO BE PERFORMED, BUT IT IS NOT AN EXHAUSTIVE LIST OF ALL DUTIES OR RESPONSIBILITIES ASSOCIATED WITH THE POSITION. THE CREDIT UNION RESERVES THE RIGHT TO MODIFY, ADD, OR REMOVE DUTIES AS NEEDED WITHOUT ADVANCE NOTICE. EMPLOYEES MAY BE REQUIRED TO PERFORM ADDITIONAL TASKS AND DUTIES AS DIRECTED BY THEIR SUPERVISOR, PROVIDED SUCH TASKS ARE WITHIN THE EMPLOYEE’S KNOWLEDGE, SKILLS, AND ABILITIES, OR CAN BE PERFORMED WITH REASONABLE TRAINING. NOTHING IN THIS JOB DESCRIPTION ALTERS THE AT-WILL EMPLOYMENT RELATIONSHIP OR LIMITS THE CREDIT UNION’S RIGHT TO ASSIGN OR REASSIGN DUTIES AND RESPONSIBILITIES TO THIS POSITION AT ANY TIME. Job Details Job Family Non-Manager Job Function Non-Manager Pay Type Salary Employment Indicator Remote Hiring Min Rate 77,500 USD Hiring Max Rate 79,000 USD

TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices What We'll Bring: At our organization, we believe in developing talent through meaningful, hands‑on experience. As an Anti-Fraud Intern, you will work alongside experienced fraud and risk professionals on real‑world initiatives that address evolving fraud threats and emerging payment risks. You’ll gain exposure to cutting‑edge analytics, regulatory expectations, and cross‑functional collaboration, while being supported by mentors who are invested in your growth. This internship offers an opportunity to build practical skills, deepen industry knowledge, and contribute to impactful fraud risk initiatives from day one. What You'll Bring: - Undergraduate student pursuing a degree in Business, Finance, Economics, Data Analytics, Information Systems, Computer Science, Risk Management, or a related discipline - Strong analytical and problem‑solving skills with an interest in fraud risk, financial crime, or payments - Experience with data analysis tools such as Excel; exposure to visualization tools is an advantage - Ability to conduct research, synthesize information, and present findings clearly - Solid communication skills, attention to detail, and a proactive, collaborative mindset Impact You'll Make: - This role reports directly to the Fraud Advisory & Solutions team - Support fraud data analysis, data preparation, and validation to enable fraud testing and monitoring activities - Assist with research and analysis on fraud trends, emerging risks, and regulatory developments - Help develop metrics, dashboards, and digital analytics use cases related to fraud risk - Contribute to fraud governance activities, regulatory benchmarking, and preparation of management reporting - Support evaluations of emerging payment‑related risks, including real‑time payments, distributed ledger technology, and digital assets - Collaborate with cross‑functional stakeholders to improve processes, documentation, and knowledge sharing This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. TransUnion's Internal Job Title: Consultant, Product Management

• Participar en talleres de análisis de negocios para reunir, clarificar y traducir requisitos de informes y análisis en soluciones BI efectivas • Diseñar y desarrollar informes y tableros para satisfacer tanto necesidades informativas como operativas, siguiendo las mejores prácticas en Tableau • Construir y optimizar fuentes de datos de Tableau, extractos, cálculos, filtros, parámetros, acciones e interacciones de los tableros • Utilizar SQL para consultar, validar, transformar y analizar datos de almacenes, lakehouses y otras plataformas de datos de fondo • Colaborar con ingenieros de datos y equipos de plataformas para alinear tableros de Tableau con modelos de datos subyacentes, pipelines y conjuntos de datos curados • Apoyar aplicaciones de BI en producción, incluyendo la solución de problemas, optimización del rendimiento, soporte al usuario y solicitudes de mejora • Documentar soluciones de BI, incluyendo lógica de tableros, definiciones de datos, mapeos fuente a informe, cálculos y estructuras de publicación de Tableau • Apoyar o liderar iniciativas de migración de BI, incluyendo de on-premise a la nube, modernización de tableros heredados o consolidación de plataformas • Ejecutar trabajos en alineación con los estándares de desarrollo de BI y contribuir a la mejora continua de las prácticas de BI • Realizar demostraciones, presentaciones ante clientes y Pruebas de Concepto para mostrar soluciones de BI y capacidades analíticas

• Analyze revenue, contribution margin, CAC, LTV, refund behavior, and acquisition efficiency across channels and geographies • Partner closely with Growth and Paid Media teams to evaluate channel performance and budget allocation • Build cohort analyses, funnel analyses, attribution logic, and performance monitoring frameworks • Identify revenue leakage, operational inefficiencies, and growth opportunities through deep analysis • Translate complex datasets into clear business recommendations for leadership • Build scalable reporting and KPI frameworks on top of a modern warehouse environment • Support forecasting, anomaly detection, experimentation analysis, and decision support initiatives • Collaborate with Data Engineering to improve data quality, modeling, and infrastructure • Leverage AI-powered workflows and tooling to accelerate analytics, SQL development, documentation, and operational efficiency