Data Science Analyst

Generac Power Systems • Waukesha, WI

2d • Onsite

About The Position

We are Generac, a leading energy technology company committed to powering a smarter world. Over the 60 plus years of Generac’s history, we’ve been dedicated to energy innovation. From creating the home standby generator market category, to our current evolution into an energy technology solutions company, we continue to push new boundaries. In the role of Data Science Analyst working onsite in Waukesha, Wisconsin you will be part of the Data Analytics and Business Intelligence team. The Data Science Analyst is responsible for the analysis of structured and unstructured data using various techniques, e.g. statistical analysis, explanatory and predictive modeling, data mining. The candidate will determine best practices and develop actionable insights and recommendations for the current operations or issues and works closely with the business functional team to identify analytical requirements. The candidate will work on Enterprise data platform and other analytical projects as needed, assist in implementing or developing systems to capture operational information, and may assist less experienced analysts. The candidate must have familiarity with the manipulation of unstructured data in a data analytics environment, and the use of open-source tools, cloud computing, machine learning and data visualization and appropriate, relevant programming languages. This is not a remote role, the ideal candidate will need to be located in Wisconsin, due to this position being onsite and reporting into our Waukesha Headquarters

Requirements

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

Nice To Haves

• 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

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level