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

Senior Platform & Analytics Analyst

Waukesha, WI ยท On-site

$86K - $108K/yr

They manage analytics platforms like Power BI, and Databricks, ensuring data integrity, scalability, security, and effective ETL processes. * Collaboration with cross-functional teams in ...

Senior Data Analyst

Oak Creek, WI ยท On-site

$82K - $103K/yr

The Senior Data Analyst will transform complex data into actionable insights that drive sales ... Solid understanding of CRM and marketing analytics platforms. * Experience with forecasting ...

Senior Data Analyst

Oak Creek, WI ยท On-site

$82K - $103K/yr

The Senior Data Analyst will transform complex data into actionable insights that drive sales ... Solid understanding of CRM and marketing analytics platforms. * Experience with forecasting ...

Senior Data Analyst

Oak Creek, WI ยท On-site

$95 - $130/hr

The Senior Data Analyst will transform complex data into actionable insights that drive sales ... Solid understanding of CRM and marketing analytics platforms. * Experience with forecasting ...

Senior Data Analyst

Oak Creek, WI

$82K - $103K/yr

The Senior Data Analyst will transform complex data into actionable insights that drive sales ... Solid understanding of CRM and marketing analytics platforms. * Experience with forecasting ...

... 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+ ...

... Management Information Systems, Mathematics, Statistics, Business, or a related field. * 4-5+ years of professional experience, including experience in analytics, reporting, data analysis, or a ...

New

The role blends the rigor of data science with the practicality of engineering and business ... Highly organized, self-motivated, and able to manage multiple priorities. * Strong collaboration ...

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 ...

Master Data Analyst

Milwaukee, WI ยท On-site

$70 - $100/hr

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

New

Bachelor's degree in computer science, data science, data engineering, business analytics, management information systems, or a related field. * At least one year of relevant experience preferred ...

Posted today

Showing results 41-60

Data Analytics Manager information

See Pewaukee, WI salary details

$30.3K

$95.1K

$168.3K

How much do data analytics manager jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data analytics manager in Pewaukee, WI is $95,061.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $122,800.00 per year, depending on experience, location, and employer.

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 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.

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 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 cities near Pewaukee, WI are hiring for Data Analytics Manager jobs?

Cities near Pewaukee, WI with the most Data Analytics Manager job openings:

Infographic showing various Data Analytics Manager job openings in Pewaukee, WI as of August 2026, with employment types broken down into 84% Full Time, 15% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $95,061 per year, or $45.7 per hour.

Senior Data Analyst

Continuus Technologies LLC

Germantown, WI โ€ข On-site

$87K - $110K/yr

Full-time

Re-posted 13 days ago


Job description

Role OverviewThe Senior Data Analyst is a trusted analytical partner who leads complex analyses, develops insights that influence decision-making, and mentors junior analysts. This role bridges data and business strategy by translating questions into actionable insights and establishing analytical best practices.Key ResponsibilitiesLead complex analyses to support strategic and operational decisionsDevelop and maintain dashboards, reports, and analytical modelsIdentify trends, risks, and opportunities using quantitative and qualitative dataDefine and standardize KPIs, metrics, and reporting frameworksPartner with business leaders to frame problems and recommend solutionsReview and improve analytical work for accuracy and clarityMentor junior analysts and support skill developmentImprove data quality, documentation, and analytical processesQualificationsBachelor's degree in Data Analytics, Statistics, Economics, Business, or related field (or equivalent experience)5+ years of experience in analytics or data-focused rolesAdvanced SQL and strong proficiency in Excel or similar toolsExperience with BI and data visualization platforms (Tableau, Power BI, Looker, etc.)Strong analytical reasoning and problem-solving skillsAbility to clearly communicate insights to technical and non-technical audiencesPreferred ExperienceExperience with Python or R for analysisKnowledge of statistical methods and experimentationFamiliarity with data modeling or data engineering conceptsDomain expertise (e.g., finance, HR, operations, product analytics)