Data Science Analyst — AI Insights & Enterprise Analytics

Generac Power Systems Inc.; Waukesha (WI); On-site; USD 75,000 - 110,000; Full time

Job summary

Generac Power Systems Inc. in Waukesha, Wisconsin is hiring a Data Science Analyst to work on the Enterprise data platform and BI initiatives onsite. You will analyze structured and unstructured data, perform statistical modeling, and develop actionable insights for operations and projects.

The role emphasizes data cleaning, preprocessing, and building pipelines and models using open-source tools and cloud platforms. Collaboration with business teams and documentation of results are required.

Qualifications

• Bachelor’s degree in Math, Statistics, or Computer Science.
• 1 year of work experience in analytics, math, statistics, or CS.
• Experience writing complex SQL queries.
• Experience with statistical tools such as MatLab, MiniTAB, SPSS, or R.
• Experience with cloud platforms (Azure, AWS).
• Experience building agents using Microsoft Copilot or similar tools.

Responsibilities

• Develop and analyze data to support Enterprise Transformation initiatives and AI use cases.
• Prepare data for analytic efforts by cleaning and consolidating datasets.
• Translate business requirements into data/information needs and data collection methods.
• Create data models, pipelines, and algorithms to produce insights.
• Assist with data gathering, cleaning, merging, and documentation for end users.

Skills

SQL queries

Python

R

Data visualization

Excel

Education

Bachelor's degree in Math/Statistics/CS

Tools

MatLab

MiniTAB

SPSS

R

SQL

Azure

AWS

Microsoft Copilot

Job description

Generac Power Systems Inc. in Waukesha, Wisconsin is hiring a Data Science Analyst to work on the Enterprise data platform and BI initiatives onsite. You will analyze structured and unstructured data, perform statistical modeling, and develop actionable insights for operations and projects.

The role emphasizes data cleaning, preprocessing, and building pipelines and models using open-source tools and cloud platforms. Collaboration with business teams and documentation of results are required.