Senior/Principal Data Analyst
Xcel Energy
- Location
- Denver CO 80205
- Work model
- On-Site
- Level
- Principal
- Salary
- $84.9k – $120.6k/yr
- Posted
- Sep 9, 2026
Skills
About this role
Are you looking for an exciting job where you can put your skills and talents to work at a company you can feel proud to be a part of? Do you want a workplace that will challenge you and offer you opportunities to learn and grow? A position at Xcel Energy could be just what you’re looking for.
Position
Summary for Sr Data Analyst Responsible for defining, implementing and supporting advanced analytics solutions and capabilities. Provides expertise in the integration, analysis and wrangling of data in support of solving business problems. Manipulates and analyzes complex datasets with a variety of tools; communicates results clearly and concisely to provide insight to multiple audiences.
Position
Summary for Principal Data Analyst Responsible as team lead for defining, implementing and supporting advanced analytics solutions and capabilities. Determines work load and priority for the team. Provides expertise in the integration, analysis and wrangling of data in support of solving business problems. Manipulates/ analyzes complex datasets with a variety of tools; communicates results clearly and concisely to provide insight to multiple audiences.
Essential Responsibilities
Data Wrangling/Exploration: Follow consistent practices to ensure data integrity and deal with imperfections in data. Effectively process structured data; proficiently integrate data sets from various sources; confidently draw conclusions from data. Collaborate with business stakeholders as needed to ensure solid data understanding and proper data transformation; work cross-functionally with development and engineering teams. Analyze large amounts of information to discover trends and patterns; draw conclusions and gain actionable insights from data. Programming: Develop efficient and high quality code; follow solid validation process to ensure consistency and minimize errors; adhere to version control standards. Maintain skills through continuing education; seamlessly transition between languages to apply the right approach to the right problem. Work Management - Manages multiple tasks, with the ability to deal with ambiguity and shifting priorities. Communicates status and estimates clearly and timely to management and team members. Data Visualization: Create meaningful data visualizations to communicate results and highlight business impact. Utilize various visualization techniques and delivery methods of visualization that are audience appropriate (e.g. interactive, statistical, and exploratory). Communication: Effectively communicate technical information to numerous audiences (e.g. senior management, client community, peers and junior associates); effectively develop relationships with individuals inside and outside of IT. Address challenges to analytic processes and influence others to change their approach and work collectively to implement new tools/techniques. Gain support from related stakeholders for analytic solutions. Continuing Education - takes a proactive approach to understanding industry and organization-specific business issues. Participates in structured and self-study training courses. Continually improves technical skills and learns new data sources. Minimum Requirements for Sr Data Analyst ($84,900-$120,567) Bachelor's degree in MIS, CIS, Statistics, Analytics or related IT degree or sufficient experience Minimum of 5 years of experience in an analytics environment Expertise in SQL Comfortable working with large, complex data sets - drawing conclusions and proposing recommendations Proven ability to effectively partner, collaborate, and communicate with technical and non-technical colleagues in various business functions at all levels Hands-on experience constructing visual analytics Working knowledge of an analytics data warehouse and big data platform Familiarity with fundamentals of statistics, probability and data pipelines Strong attention to detail Demonstrated ability to wrangle data Comfortable working with structured and