Sr. Analyst, Reporting & Decision Support

Role overview

Responsibilities

• Design, develop, maintain, and enhance dashboards, reports, and analytical solutions for operational and strategic decisions.
• Partner with stakeholders to understand reporting needs, prioritize work, define requirements, and ensure solutions meet business objectives.
• Analyze complex data from multiple sources to identify trends, risks, opportunities, and actionable recommendations for leadership.
• Integrate, validate, and monitor data from enterprise sources to ensure reporting accuracy, consistency, and reliability.
• Improve reporting processes, automate recurring work, enhance data architecture, and increase operational efficiency.
• Apply quantitative analysis, statistical techniques, and predictive methods when appropriate to solve business problems and improve decisions.
• Serve as a subject matter expert, mentor junior analysts, document solutions, and promote analytics best practices.

Education and experience

• Bachelor's degree plus two years of related work experience, or an equivalent combination of education and experience.
• Three years of experience developing reporting and analytics solutions in a business environment.
• Experience gathering business requirements and translating them into scalable reporting solutions.
• Experience analyzing large and complex datasets for strategic decisions and integrating data from multiple enterprise sources.
• Experience managing multiple priorities and delivering high-quality analytical solutions in a fast-paced environment.
• Experience working cross-functionally with business and technical stakeholders.

Required skills

• Required skills include analytical thinking, business requirements gathering, business process improvement, communication, cross-functional project management, and critical thinking.
• Required capabilities include dashboard development, data analysis, data management, data quality and integrity, and reporting automation.
• Experience with business intelligence and data visualization platforms, data transformation and integration tools, ERP, and SQL or a comparable query language is required.
• Financial analysis, performance measurement, problem solving, presentation skills, and stakeholder engagement are listed as required.

Preferred skills

• Preferred skills include statistical analysis, predictive analytics, analytics programming such as Python or R, and data modeling.

Compensation

• The posting lists total target cash earnings of $78,210–$141,020 and a national base pay range of $71,100–$128,200.
• Total target cash earnings combine base salary and an annual incentive opportunity; actual earnings may vary with individual performance and company results.

Workplace and travel

• The role is hybrid, based in Overland Park, Kansas, with three office days per week.
• Travel is not required.