Data Science Analyst

Generac Power Systems • Waukesha, WI

1d • Onsite

About The Position

Generac is a leading energy technology company with over 60 years of dedication to energy innovation, from creating the home standby generator market to evolving into an energy technology solutions company. The Data Science Analyst role is part of the Data Analytics and Business Intelligence team, working onsite in Waukesha, Wisconsin. This position is responsible for analyzing structured and unstructured data using various techniques like statistical analysis, explanatory and predictive modeling, and data mining. The analyst will determine best practices, develop actionable insights and recommendations for current operations or issues, and collaborate closely with business functional teams to identify analytical requirements. The role involves working on the Enterprise data platform and other analytical projects, assisting in implementing or developing systems to capture operational information, and potentially mentoring less experienced analysts. Familiarity with unstructured data manipulation, open-source tools, cloud computing, machine learning, data visualization, and relevant programming languages is essential. This is an onsite position requiring the candidate to be located in Wisconsin and report to the Waukesha Headquarters.

Requirements

• Bachelor Degree
• 1 year work experience in Math, Statistics, or Computer Science
• Ability to write complex SQL queries
• Data visualization proficiency
• Proficiency in database applications and MS Office with excellent Excel skills
• 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
• Familiarity with the manipulation of unstructured data in a data analytics environment
• Use of open-source tools, cloud computing, machine learning and data visualization and appropriate, relevant programming languages

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
• Number of Employees: 1,001-5,000 employees