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Manager Data Analytics Engineer Jobs in Cedarburg, WI

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 and ...

New

BI Analytics Engineer

Milwaukee, WI

$50.25 - $65.25/hr

As a BI Analytics Engineer at Uline, you'll turn data into insights that drive decisions across the ... management to e-commerce. Careers Packed with Potential. Backed by 45+ years of success, Uline ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

... proactively manage delivery risk. You will set expectations for audit-ready documentation and ... Python (Programming Language), R Code, SQL Administration, Verbal Communications, Written ...

New

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Syntricate Technologies is a company seeking a Data Engineer to join their team. The role involves ... analysis, and project management services. Founded in 2004, the company is headquartered in Boston ...

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Showing results 21-40

Manager Data Analytics Engineer information

See Cedarburg, WI salary details

$43.8K

$127.5K

$174.5K

How much do manager data analytics engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for manager data analytics engineer in Cedarburg, WI is $127,533.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,600.00 and $135,200.00 per year, depending on experience, location, and employer.

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What are the key skills and qualifications needed to thrive as a manager data analytics engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

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

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

What are popular job titles related to Manager Data Analytics Engineer jobs in Cedarburg, WI?

For Manager Data Analytics Engineer jobs in Cedarburg, WI, the most frequently searched job titles are:

What job categories do people searching Manager Data Analytics Engineer jobs in Cedarburg, WI look for?

The top searched job categories for Manager Data Analytics Engineer jobs in Cedarburg, WI are:

What cities near Cedarburg, WI are hiring for Manager Data Analytics Engineer jobs?

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

Analytics Engineer II, Marketing

DR Power LLP

Waukesha, WI • On-site

$85 - $110/hr

Other

Posted 2 days ago

New


Key responsibilities

  • Partner with data engineering and business stakeholders to define analytical requirements and design data pipelines and models.

  • Design, develop, and optimize dashboards and reporting frameworks for marketing analytics and KPI monitoring.

  • Prepare and clean structured and unstructured data, merge and extract data from multiple sources to enable insights.


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.

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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.

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? As one of the leaders and largest suppliers of power generation equipment and technology, the work we do touches millions of lives. Employees at Generac are encouraged to be innovative and are valued as an integral part of our global team. Our challenging goals develop knowledgeable employees dedicated to helping continue Generac's success. Generac provides individuals the opportunity to work in a fast-paced agile work environment where their work makes a difference in people's lives and their own.

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