Senior Business Intelligence Analyst

Job Type:
Business Operations

Pay Range $108,814 to $114,253

Location Colorado Springs, CO

Date First Posted 10/15/26

Applications are being accepted through: 10/22/26

* If no date is displayed, applications are being accepted on an ongoing basis; however, this job posting may close at any time after a minimum of 5 days of being posted.

Our Customer Applications Management team at Colorado Springs Utilities is responsible for delivering the data, reporting, automation, and system integrations that support customer operations, contact center performance, business decision-making, and enterprise modernization efforts. We are seeking a Senior Business Intelligence & Data Solutions Analyst to serve as a technical leader in designing, developing, and supporting enterprise reporting, analytics, workload management solutions, and data integration capabilities.

This role combines business intelligence, data engineering, systems administration, automation, and advanced analytics to help improve operational efficiency, customer experience, and organizational performance. You will partner with stakeholders across the organization to transform complex business requirements into scalable reporting, integration, and analytical solutions that drive measurable business value.

• Leading the administration, support, and continuous improvement of related customer operations technologies

• Developing and maintaining enterprise reporting solutions, dashboards, scorecards, and self-service analytics using Power BI, SQL, and modern reporting platforms

• Designing, developing, and supporting SQL processes, databases, operational tables, and automated data preparation workflows

• Utilizing APIs, automated data pipelines, integrations, and data services that connect enterprise applications and reporting platforms

• Supporting Python-based automation, data transformation, and process optimization initiatives

• Producing and enhancing operational, financial, customer, regulatory, and compliance reporting used throughout the organization

• Analyzing customer usage patterns, operational performance, workload trends, financial impacts, and business metrics to provide actionable recommendations

• Leading analytical efforts related to predictive models, forecasting, trend analysis, benchmarking, modeling, and strategic decision support

• Supporting enterprise data governance activities by validating data quality, consistency, completeness, and reporting accuracy

• Driving automation initiatives that reduce manual effort and improve efficiency across customer operations and business processes

• Serving as the technical lead for reporting, data integration, and workload management modernization initiatives

• Partnering with business leaders, technology teams, vendors, and stakeholders to gather requirements, solve complex operational challenges, and implement sustainable solutions

• Documenting processes and solutions as part of solution delivery

• Supporting modernization efforts involving the enterprise customer information system, measurement data, Genesys, APIs, Lakehouse technologies, enterprise reporting platforms, and next-generation analytics capabilities

• Presenting findings, recommendations, and technical solutions to leadership and stakeholder groups in a clear and meaningful format

• Creating documentation, standards, and best practices that support long-term scalability and supportability of reporting and analytics solutions

• An experienced analytics, business intelligence, or data professional who enjoys solving complex business and technical challenges

• A strong collaborator who can build partnerships with both technical teams and business stakeholders as well as mentor junior personnel

• A strategic thinker who can identify opportunities to connect operational needs with long-term technology and data solutions

• Passionate about creating insight, leveraging data, automation, and technology to improve customer experiences and business outcomes

• Three to five years or more of progressively responsible experience in business intelligence, analytics, reporting, systems administration, data engineering, or related disciplines

• Advanced experience with SQL and relational database development

• Experience designing and supporting enterprise reporting and analytics solutions

• Experience developing dashboards and visualizations using…