Sr Data Analyst - Wildfire Risk

Xcel Energy•Denver, CO

About The Position

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 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.

Requirements

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 unstructured data

Nice To Haves

Translating risk data into business context.
Understanding of risk and regulatory finance / accounting.

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.