We believe power is a promise - a shared commitment to be there for others when it matters most.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?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 HeadquartersMinimum Qualifications: Bachelor Degree1 year work experience in Math, Statistics, or Computer SciencePreferred Qualifications: 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 pathsEssential Duties: Develop and analyze various data to support Enterprise Transformation initiatives and AI use casesSupports 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 methodsCreate custom data models & create pipelines and algorithms as needed & produce Data insightsAssists 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 deliverablesOngoing reports highlighting the initiative progress and successes.Knowledge and Skills:Ability to write complex SQL queries, data visualizationProficiency 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#LI-BB1Physical 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.” We believe power is a promise - a shared commitment to be there for others when it matters most.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?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 HeadquartersMinimum Qualifications: Bachelor Degree1 year work experience in Math, Statistics, or Computer SciencePreferred Qualifications: 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 pathsEssential Duties: Develop and analyze various data to support Enterprise Transformation initiatives and AI use casesSupports 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 methodsCreate custom data models & create pipelines and algorithms as needed & produce Data insightsAssists 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 deliverablesOngoing reports highlighting the initiative progress and successes.Knowledge and Skills:Ability to write complex SQL queries, data visualizationProficiency 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#LI-BB1Physical 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.” 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 HeadquartersMinimum Qualifications: Bachelor Degree1 year work experience in Math, Statistics, or Computer SciencePreferred Qualifications: 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 pathsEssential Duties: Develop and analyze various data to support Enterprise Transformation initiatives and AI use casesSupports 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 methodsCreate custom data models & create pipelines and algorithms as needed & produce Data insightsAssists 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 deliverablesOngoing reports highlighting the initiative progress and successes.Knowledge and Skills:Ability to write complex SQL queries, data visualizationProficiency 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#LI-BB1Physical 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. 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 HeadquartersMinimum Qualifications: Bachelor Degree1 year work experience in Math, Statistics, or Computer SciencePreferred Qualifications: 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 pathsEssential Duties: Develop and analyze various data to support Enterprise Transformation initiatives and AI use casesSupports 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 methodsCreate custom data models & create pipelines and algorithms as needed & produce Data insightsAssists 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 deliverablesOngoing reports highlighting the initiative progress and successes.Knowledge and Skills:Ability to write complex SQL queries, data visualizationProficiency 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#LI-BB1Physical 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. 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 HeadquartersMinimum Qualifications: Bachelor Degree1 year work experience in Math, Statistics, or Computer SciencePreferred Qualifications: 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 pathsEssential Duties: Develop and analyze various data to support Enterprise Transformation initiatives and AI use casesSupports 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 methodsCreate custom data models & create pipelines and algorithms as needed & produce Data insightsAssists 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 deliverablesOngoing reports highlighting the initiative progress and successes.Knowledge and Skills:Ability to write complex SQL queries, data visualizationProficiency 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#LI-BB1Physical 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. 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 HeadquartersMinimum Qualifications: Bachelor Degree1 year work experience in Math, Statistics, or Computer SciencePreferred Qualifications: 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 pathsEssential Duties: Develop and analyze various data to support Enterprise Transformation initiatives and AI use casesSupports 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 methodsCreate custom data models & create pipelines and algorithms as needed & produce Data insightsAssists 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 deliverablesOngoing reports highlighting the initiative progress and successes.Knowledge and Skills:Ability to write complex SQL queries, data visualizationProficiency 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#LI-BB1Physical 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. 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 HeadquartersMinimum Qualifications: Bachelor Degree1 year work experience in Math, Statistics, or Computer SciencePreferred Qualifications: 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 pathsEssential Duties: Develop and analyze various data to support Enterprise Transformation initiatives and AI use casesSupports 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 methodsCreate custom data models & create pipelines and algorithms as needed & produce Data insightsAssists 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 deliverablesOngoing reports highlighting the initiative progress and successes.Knowledge and Skills:Ability to write complex SQL queries, data visualizationProficiency 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#LI-BB1Physical 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. 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 HeadquartersMinimum Qualifications: Bachelor Degree1 year work experience in Math, Statistics, or Computer SciencePreferred Qualifications: 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 pathsEssential Duties: Develop and analyze various data to support Enterprise Transformation initiatives and AI use casesSupports 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 methodsCreate custom data models & create pipelines and algorithms as needed & produce Data insightsAssists 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 deliverablesOngoing reports highlighting the initiative progress and successes.Knowledge and Skills:Ability to write complex SQL queries, data visualizationProficiency 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#LI-BB1Physical 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. 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 HeadquartersMinimum Qualifications: Bachelor Degree1 year work experience in Math, Statistics, or Computer SciencePreferred Qualifications: 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 pathsEssential Duties: Develop and analyze various data to support Enterprise Transformation initiatives and AI use casesSupports 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 methodsCreate custom data models & create pipelines and algorithms as needed & produce Data insightsAssists 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 deliverablesOngoing reports highlighting the initiative progress and successes.Knowledge and Skills:Ability to write complex SQL queries, data visualizationProficiency 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#LI-BB1Physical 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. 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 HeadquartersMinimum Qualifications: Bachelor Degree1 year work experience in Math, Statistics, or Computer SciencePreferred Qualifications: 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 pathsEssential Duties: Develop and analyze various data to support Enterprise Transformation initiatives and AI use casesSupports 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 methodsCreate custom data models & create pipelines and algorithms as needed & produce Data insightsAssists 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 deliverablesOngoing reports highlighting the initiative progress and successes.Knowledge and Skills:Ability to write complex SQL queries, data visualizationProficiency 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#LI-BB1Physical 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. 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 HeadquartersMinimum Qualifications: Bachelor Degree1 year work experience in Math, Statistics, or Computer SciencePreferred Qualifications: 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 pathsEssential Duties: Develop and analyze various data to support Enterprise Transformation initiatives and AI use casesSupports 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 methodsCreate custom data models & create pipelines and algorithms as needed & produce Data insightsAssists 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 deliverablesOngoing reports highlighting the initiative progress and successes.Knowledge and Skills:Ability to write complex SQL queries, data visualizationProficiency 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#LI-BB1Physical 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.

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

Preferred Qualifications:

• 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, * 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

LI-BB1

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.