Data Science Analyst

For more than 65 years, we've turned big ideas into solutions that help protect homes, strengthen businesses and build a more resilient, efficient, sustainable energy future.

Ready to Power a Smarter World with us?

• Bachelor Degree

• 1 year work experience in Math, Statistics, or Computer Science

• Relational database experience & Experience query databases (ex: SQL, MySql).

• Experience with one or more statistical analysis tools (ex: MatLab, MiniTab, SPSS, or R).

• Experience with statistical analysis languages (ex: R, Python, SQL).

• Experience on using the cloud platform (ex Azure, AWS..)

• Experience with building agents using Microsoft CoPilot, and other solution paths

• Develop and analyze various data to support Enterprise Transformation initiatives and AI use cases

• Supports data preparation for analytic efforts by cleaning data to ensure quality and accuracy based on provided guidelines; and consolidating data.

• Translating business requirements; informing data/information needs and data collection methods

• Create custom data models & create pipelines and algorithms as needed & produce Data insights

• Assists with data and information gathering for targeted variables in an established systematic fashion by cleaning and organizing data; querying, merging, and extracting data across sources; completing routine data refresh and update; and providing user support and documentation.

• Supporting end-users; and documenting processes and deliverables

• Ongoing reports highlighting the initiative progress and successes.

• Ability to write complex SQL queries, data visualization

• Proficiency in database applications and MS Office with excellent Excel skills.

• Requires excellent analytical, organization, project management, communication, presentation and people skills with a variety of audiences, up to and including, the executive level.

• Ability to simplify complex findings to develop unique, practical solutions.

• Able to understand various data structures and common methods in data transformation.

• Excellent pattern recognition and predictive modeling skills.

• Cross/multi-functional understanding of industry, company, and products to enable identification of assumptions and events, and qualification of related risks and opportunities.

• Self-motivated and able to work with minimal direction

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Physical Demands: While performing the duties of this job, the employee is regularly required to talk and hear; and use hands to manipulate objects or controls.  The employee is regularly required to stand and walk.  On occasion, the incumbent may be required to stoop, bend, or reach above the shoulders.  The employee must occasionally lift up to 25 pounds. Specific conditions of this job are typical of frequent and continuous computer-based work requiring periods of sitting, close vision, and the ability to adjust focus. Occasional travel.

“We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law.”