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Data Analytics Manager Jobs in Milwaukee, WI (NOW HIRING)

... data and analytics You will be leading and delivering large scale, complex client engagements We are looking for someone... Who holds 7+ years of experience in management consulting. Who holds 2+ ...

Bachelor's degree in information systems, Business Administration, Data Analytics, Supply Chain, or a related field. * 3+ years of experience in master data management, data governance, or ERP data ...

Data Analyst

Oconomowoc, WI ยท On-site +1

Participate in data management tasks by querying and merging datasets. * Learn and develop proficiency in data analysis tools and software such as Power BI, R, SQL, Microsoft Office, Python, and ...

Participate in data management tasks by querying and merging datasets. * Learn and develop proficiency in data analysis tools and software such as Power BI, R, SQL, Microsoft Office, Python, and ...

The Manager, Enterprise Data & Reporting leads a team of analysts and developers responsible for enterprise business intelligence, master data governance, and data quality across North America.

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real impact? Join Uline as a Data Analyst to be a driver of operational excellence. From searching for ...

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real impact? Join Uline as a Data Analyst to be a driver of operational excellence. From searching for ...

Showing results 41-60

Data Analytics Manager information

See Milwaukee, WI salary details

$30.5K

$95.7K

$169.5K

How much do data analytics manager jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data analytics manager in Milwaukee, WI is $95,711.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $123,600.00 per year, depending on experience, location, and employer.

How do data analytics managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

What are the key skills and qualifications needed to thrive as a data analytics manager?

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

What does a data analytics manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

What is the difference between Data Analytics Manager vs Data Analyst?

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

What are the most commonly searched types of Data Analytics jobs in Milwaukee, WI? The most popular types of Data Analytics jobs in Milwaukee, WI are:
What are popular job titles related to Data Analytics Manager jobs in Milwaukee, WI? For Data Analytics Manager jobs in Milwaukee, WI, the most frequently searched job titles are:
What cities near Milwaukee, WI are hiring for Data Analytics Manager jobs? Cities near Milwaukee, WI with the most Data Analytics Manager job openings:
Infographic showing various Data Analytics Manager job openings in Milwaukee, WI as of August 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 96% In-person, 2% Hybrid, and 2% Remote job distribution, with an average salary of $95,711 per year, or $46 per hour.

Senior Platform & Analytics Analyst

Generac Power Systems, Inc.

Waukesha, WI โ€ข On-site

$86K - $108K/yr

Full-time

Re-posted 18 days ago


Job description

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.
The Senior Analytics and Platform Analyst will play an important role in driving data-driven decision-making and digital enablement across the organization. You are responsible for delivering actionable insights through a combination of Data Analysis and Insights Generation, Platform Management and Optimization, apply practices for data governance and ETL, Lead projects using machine learning, statistical modeling, and AI analytics for problems like predictive models or anomaly detection.
Collaborating with business and IT teams, the analyst will help enable scalable data, analytic solutions - for initiatives in manufacturing operations, supply chain, sales, and product development to improve operational efficiency, and customer/market insights, across the manufacturing value chain.
Major Responsibilities
  • The Senior Analyst, Analytics and Platform is responsible for analyzing manufacturing data to create dashboards, reports, and predictive models that identify trends and support optimizations in production, supply chain, and inventory.
  • They manage analytics platforms like Power BI, and Databricks, ensuring data integrity, scalability, security, and effective ETL processes.
  • Collaboration with cross-functional teams in manufacturing, Engineering ops, Marketing & sales involves translating business needs into technical solutions and providing data-driven recommendations for process improvements and cost reductions.
  • This role supports the integration and optimization of cloud-based data platforms, collaborates with cross-functional teams to define data requirements, and ensures data quality and governance standards are met.
  • The analyst also plays a key role in promoting analytics self-service, supporting tool adoption, and contributing to the ongoing evolution of the enterprise analytics ecosystem.
  • Additional duties include leading advanced analytics projects with machine learning and AI for tasks like predictive maintenance, maintaining data quality and compliance, mentoring junior analysts, and monitoring KPIs to present insights to leadership.

Minimum Job Requirements
Education
  • Bachelor's degree in Data Science, Computer Science, Industrial Engineering, Statistics, or a related field.

Work Experience
  • 5+ years in data analytics, with at least 3 years in a senior or lead role.

Knowledge / Skills / Abilities
  • Proficiency in SQL, Python, R, or similar languages for data manipulation and analysis.
  • Expertise in analytics platforms and tools (e.g., Power BI, AWS/GCP/Azure cloud services, Databricks).
  • Knowledge of data lakehouse and warehousing architectures, ETL processes, data management practices.
  • Experience with statistical modeling, machine learning frameworks (e.g., scikit-learn, TensorFlow), and visualization techniques.
  • Problem-solving abilities, communication skills for presenting data to non-technical audiences, and ability to work in teams.

Preferred Job Requirements
Education
  • Master's degree in Data Science, Computer Science, Industrial Engineering, Statistics, or a related field.

Certification / License
  • Certification in data analytics or platforms (e.g., Google Data Analytics, Microsoft Certified: Azure Data Engineer, Optimizely, Amplitude, etc.).
  • Experience with IoT data from industrial equipment or SAP, Salesforce, Windchill, etc.
  • Familiarity with lean manufacturing principles or Six Sigma methodologies.
  • Record of implementing analytics solutions with business impacts, such as cost savings or efficiency gains.

Work Experience
  • Experience in manufacturing, consumer goods, or industrial sectors.
  • Familiarity with lean manufacturing principles or Six Sigma methodologies.
  • Record of implementing analytics solutions with business impacts, such as cost savings or efficiency gains.

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 - 50 pounds. Specific conditions of this job are typical of frequent and continuous computer-based work requiring periods of sitting, close vision and 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."