Senior Data Analyst

Full-time

Senior Data Analyst

Chief Information Officer

Business Unit Data Leads, Director of Program Management, Information Technology, and external partners

Information Technology

Salaried Exempt
- You must complete the application to view salary details within the screener questions.

Monday
- Friday 8:00am to 4:30pm / 37.5 - hours weekly

There is some work from home flexibility that is determined by the manager. This is not a full-time remote position - required to work in the Nashville office for a minimum of two days per week and as needed.

The Senior Data Analyst is responsible for transforming NASBA data into clear, actionable insights that improve decision‑making, operational performance, and measurable business outcomes. This role partners closely with business unit leaders, Information Technology, and external partners to understand business questions, define analytical requirements, and deliver accurate, timely, and useful reporting and analytics products.

• Partner with business unit leaders and stakeholders to identify business questions, define analytical needs, and translate those needs into clear reporting and analytics requirements.
• Design, build, develop, and maintain dashboards, reports, scorecards, and self‑service analytics solutions using Power BI and other approved tools.
• Analyze data to identify trends, risks, opportunities, root causes, and performance drivers, and present findings through concise narratives, visualizations, and executive‑level summaries.
• Own the quality, usability, adoption, and measurable business outcomes of assigned analytics and reporting solutions.
• Translate approved priorities into detailed analytical work, manage assigned work items, and deliver reporting and analytics solutions within agreed timelines.
• Execute assigned analytics initiatives in partnership with the Director of Program Management, business unit data leads, and technical delivery teams.
• Monitor report and dashboard utilization, performance, and stakeholder feedback, and refine solutions based on business results and changing needs.
• Create and maintain documentation for business rules, metrics, data definitions, report logic, and analytical methodologies.
• Support data quality by validating source data, reconciling results, identifying issues, and partnering with technical teams to resolve defects.
• Build and maintain semantic models, data transformations, and reporting solutions that meet enterprise standards for consistency, scalability, and performance.
• Collaborate with CGI and other vendors to ensure analytics and data solutions meet business requirements, quality expectations, security standards, and architectural guidelines.
• Support data governance, privacy, security, responsible AI, and continuous improvement initiatives.
• Perform other duties as needed and assigned.

• Strong data analysis, business intelligence, and reporting experience.
• Advanced experience with Power BI, including dashboard development, data modeling, DAX, visualization design, and report performance optimization.
• Working knowledge of Snowflake or a comparable enterprise cloud data platform.
• Experience with SQL, data validation, data profiling, and analysis of large or complex datasets.
• Understanding of data pipelines, integration concepts, data quality practices, and semantic data models.
• Ability to translate business needs into practical analytical solutions and measurable outcomes.
• Strong analytical, problem‑solving, and critical‑thinking skills.
• Excellent stakeholder management, facilitation, presentation, and written communication skills.
• Ability to explain complex…