AI-Driven Performance Analytics Specialist

Xcel Energy

Denver (CO)

Hybrid

USD 74,000 - 105,000

Full time

21 hours ago
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Benefits offered by this job

Annual Incentive Program
Medical/Pharmacy Plan
Dental
Vision
Life Insurance
Health Savings Account (HSA)
Pension
401(k) plan
Paid time off (PTO)
Holidays
Transit programs
Employee Assistance Program

Job summary

Xcel Energy is seeking a data analytics professional to leverage AI, automation, and enterprise data to drive operational performance and business outcomes. You will design, develop, and sustain reporting, dashboards, and data integrations while partnering with leaders to meet information needs.

The role focuses on building scalable data solutions, ensuring data integrity, and mentoring teams across the organization. Hybrid work with on-site collaboration is expected.

Qualifications

  • Bachelor's degree in Business Science or Business Administration or equivalent.
  • Three years experience, with at least 1 year in customer service, marketing, automated metering, communications, revenue protection, distribution operations, engineering and/or information systems.
  • Strong customer focus.
  • Proven leadership and initiative from idea conception to implementation.
  • Attention to detail.
  • Proven communication with strong technical and analytical acumen.
  • Experience with PC applications and analytical software.
  • Ability to travel occasionally.

Responsibilities

  • Leverage AI tools, automation technologies, and emerging analytical capabilities to improve productivity, accelerate insight generation, enhance reporting processes, and identify opportunities to deliver greater business value.
  • Provide analytical and technical expertise in the design, development, maintenance, and enhancement of reporting, dashboards, data integrations, and automated business solutions. Partner with leaders and stakeholders to identify requirements, develop recommendations, and deliver solutions that support operational and strategic goals.
  • Develop, maintain, and improve reporting and analytics solutions using enterprise data sources. Ensure data integrity, accuracy, and consistency across reports, dashboards, and business processes while supporting operational and leadership information needs.
  • Design and sustain automated workflows, data pipelines, and business processes that improve efficiency, reduce manual effort, and support scalable business operations.
  • Collaborate with business partners, technology teams, vendors, and other stakeholders to evaluate opportunities, define requirements, prioritize enhancements, and implement data driven solutions.
  • Monitor and resolve data quality, system, and reporting issues to minimize business impact and ensure reliable, timely delivery of information.
  • Support and lead cross functional initiatives focused on operational performance, process improvement, customer experience, and business transformation efforts. Apply analytical techniques to identify trends, root causes, and opportunities for improvement.
  • Lead or contribute to projects that enhance business processes, reporting capabilities, automation, AI enabled solutions, and information systems.
  • Serve as a technical and analytical resource by providing guidance, knowledge sharing, documentation, training, and mentorship to support organizational success.
  • Other duties as assigned.

Skills

Customer service
Leadership
Initiative
Attention to detail
Communication
Analytical thinking

Education

Bachelor's Degree in Business Science or Business Administration

Tools

PC applications
Analytical software

Job description

Xcel Energy is seeking a data analytics professional to leverage AI, automation, and enterprise data to drive operational performance and business outcomes. You will design, develop, and sustain reporting, dashboards, and data integrations while partnering with leaders to meet information needs.

The role focuses on building scalable data solutions, ensuring data integrity, and mentoring teams across the organization. Hybrid work with on-site collaboration is expected.

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