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Advanced Analytics Manager Jobs in Whitewater, WI

Help prepare data foundations for advanced analytics, AI, predictive modeling, and intelligent ... Exposure to data governance, metadata management, lineage, and data quality frameworks.

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Help prepare data foundations for advanced analytics, AI, predictive modeling, and intelligent ... Exposure to data governance, metadata management, lineage, and data quality frameworks.

New

Senior Platform & Analytics Analyst

Waukesha, WI · On-site

$86K - $108K/yr

They manage analytics platforms like Power BI, and Databricks, ensuring data integrity, scalability ... Additional duties include leading advanced analytics projects with machine learning and AI for ...

Senior Revenue Management Data Scientist

New Berlin, WI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Pricing & Quotations Manager The Senior Revenue Management Data Scientist will transform pricing ... In addition to advanced pricing analytics and data science, this role will act as a technical ...

Senior Revenue Management Data Scientist

New Berlin, WI · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Pricing & Quotations Manager __ The Senior Revenue Management Data Scientist will transform pricing ... In addition to advanced pricing analytics and data science, this role will act as a technical ...

Sr. BI Engineer

Beloit, WI

$102K - $140K/yr

Responsibilities will include designing and implementing data management workflows, creating data quality routines, identifying data quality measurements, and creating advanced analytics to ...

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Advanced Analytics Manager information

What is the difference between Advanced Analytics Manager vs Data Scientist?

AspectAdvanced Analytics ManagerData Scientist
Required CredentialsBachelor's or Master's in Analytics, Data Science, or related fields; often managerial experienceBachelor's or Master's in Data Science, Statistics, or related fields; sometimes PhD
Work EnvironmentLeads analytics teams, manages projects, collaborates with stakeholdersPerforms data analysis, builds models, explores data independently or in teams
Employer & Industry UsageUsed across industries for strategic insights and team leadershipCommonly employed for developing models and insights at technical levels

The Advanced Analytics Manager oversees analytics teams and strategic projects, focusing on leadership and project management. Data Scientists primarily perform technical data analysis and model development. While both roles require strong analytical skills, the manager role emphasizes leadership and coordination, whereas the Data Scientist role is more technical and hands-on.

Infographic showing various Advanced Analytics Manager job openings in Whitewater, WI as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Analytics Engineer II, Marketing

Generac Power Systems, Inc.

Waukesha, WI • On-site

Full-time

Posted 4 days ago


Job description

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?
The Analytics Engineer II, Marketing is responsible for executing analytics initiatives across various marketing domains including media performance measurement, marketing attribution, consumer behavior modeling, and strategic KPI reporting. The role blends the rigor of data science with the practicality of engineering and business analysis. This individual will analyze structured and unstructured data using statistical analysis, predictive modeling, and data mining techniques to develop actionable insights and recommendations. Working closely with business stakeholders and data engineering teams, this role supports the development of data infrastructure and delivers analytic solutions to improve business outcomes.
Major Responsibilities
Collaboration & Requirements Gathering:
  • Partner with data engineering and business stakeholders to define analytical requirements and design robust data pipelines and models.
  • Translate marketing and business needs into scalable data and reporting solutions.
  • Support experimentation efforts and analyze marketing campaign impact.

Reporting Development:
  • Design, develop, and optimize dashboards and reporting frameworks for marketing analytics and KPI monitoring.
  • Ensure timely, accurate delivery of reports and insights to cross-functional teams and executives.

Data Preparation & Integration:
  • Prepare and clean structured and unstructured data to ensure quality and consistency.
  • Merge and extract data across multiple sources (e.g., sales, operations, consumer behavior) into unified repositories to enable holistic insights.

Advanced Analytics & Predictive Modeling:
  • Develop, deploy, and maintain statistical and predictive models using machine learning techniques.
  • Perform exploratory and explanatory data analysis, benchmarking, and forecasting.
  • Utilize cloud computing and open-source tools for scalable analytics.

Performance Metrics & Process Improvement:
  • Define and refine marketing performance metrics aligned with business goals.
  • Lead initiatives to automate workflows and improve data-driven decision-making processes.

User Support & Documentation:
  • Provide user training and documentation to facilitate self-service analytics.
  • Support less experienced analysts and promote best practices in data handling and visualization.

Minimum Job Requirements
Education:
  • Bachelor's degree in Data Science, Computer Science, Statistics, Marketing Analytics, or a related field is required.

Experience:
  • 2+ years of experience in data analytics, business intelligence, or marketing analytics.
  • Demonstrated experience in media mix modeling, multi-touch attribution, incrementality testing, and A/B testing.

Technical Skills:
  • Advanced proficiency in SQL and/or Python.
  • Strong skills in Power BI and Excel for dashboard creation and reporting.
  • Familiarity with data modeling, ETL pipelines, and cloud-based platforms such as Databricks.
  • Ability to manipulate and analyze unstructured data.

Analytical & Soft Skills:
  • Strong problem-solving, statistical, and modeling skills.
  • Ability to communicate complex analytical findings to non-technical audiences.
  • Highly organized, self-motivated, and able to manage multiple priorities.
  • Strong collaboration and stakeholder engagement capabilities.

#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.
"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."