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Manager Data Analytics Engineer Jobs in Wisconsin

Komatsu

IT Manager, Data & Analytics

Milwaukee, WI · On-site

The IT Manager, Data & Analytics owns and governs Komatsu's enterprise data and analytics platforms, including Palantir Foundry, Microsoft Power BI, Azure Synapse, and associated data engineering ...

Komatsu

IT Manager, Data & Analytics

Milwaukee, WI · On-site

The IT Manager, Data & Analytics will lead the execution of business-driven and IT-enabled ... team of data analysts, engineers, business intelligence specialists, and innovation experts to ...

LRS

Senior Data & Analytics Engineer

Milwaukee, WI

$65 - $95/hr

... data architecture, modeling, engineering, and reporting. Key Responsibilities Partner with business leaders to understand analytics needs and define solution roadmaps Design scalable data and ...

Serve Robotics

$211K - $246K/yr

Lead, mentor, and grow a team of data and analytics engineers. This includes hiring, performance management, career development, planning, and setting technical standards. * Technical Leadership:

MLG Capital

Analytics Engineer

Brookfield, WI

This is MLG's first-ever Analytics Engineer hire, supporting the modernization of reporting ... Experience in financial services, real estate, asset management, or other regulated data ...

MLG Capital

Analytics Engineer

Brookfield, WI · On-site

This is MLG's first-ever Analytics Engineer hire, supporting the modernization of reporting ... Experience in financial services, real estate, asset management, or other regulated data ...

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All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Wisconsin

Manager Data Analytics Engineer information

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.

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 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.
What are the most commonly searched types of Data Analytics Engineer jobs in Wisconsin? The most popular types of Data Analytics Engineer jobs in Wisconsin are:
What are popular job titles related to Manager Data Analytics Engineer jobs in Wisconsin? For Manager Data Analytics Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Wisconsin look for? The top searched job categories for Manager Data Analytics Engineer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Manager Data Analytics Engineer jobs? Cities in Wisconsin with the most Manager Data Analytics Engineer job openings:
Manager Data Analytics Engineer jobs near you
Infographic showing various Manager Data Analytics Engineer job openings in Wisconsin as of June 2026, with employment types broken down into 56% Full Time, 42% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.
Data & Analytics Engineer - Marketing Analytics

Data & Analytics Engineer - Marketing Analytics

Baird

Milwaukee, WI • On-site

Full-time

Posted 9 days ago

Baird rating

8.6

Company rating: 8.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

Job description

About the Role:
Are you curious about how marketing data turns into insights that drive business decisions? Do you enjoy working hands-on with data while partnering closely with business stakeholders? Are you looking to deepen your skills in analytics engineering, data modeling, and modern data platforms?
As we continue to grow our data capabilities at Baird, we are seeking a Data & Analytics Engineer (DAE) with a focus on Marketing Analytics. This role is part of our IT Data & Analytics organization and supports marketing-focused use cases such as campaign performance, customer engagement, and channel analytics. The ideal candidate blends data engineering expertise with business curiosity, strong communication skills, and hands-on experience enabling analytics for Marketing stakeholders.
This role is based in Milwaukee, WI and works closely with Marketing, Analytics, Architecture, and Delivery teams.
The Impact You'll Make:
Marketing Analytics & Business Support
  • Partner with Marketing teams and analysts to support analytics needs related to campaigns, customer engagement, and performance reporting.
  • Help translate marketing questions into clear data requirements, datasets, and metrics.
  • Support analytics use cases such as campaign reporting, segmentation, funnel analysis, and customer insights.
  • Build familiarity and trust with Marketing Teams about marketing data sources and how they are used across the organization.

Data Engineering & Data Management
  • Contribute to the design, build, and maintenance of data pipelines that ingest and transform marketing data.
  • Apply data modeling skills (3NF and dimensional) to support analytics-ready datasets.
  • Perform data analysis and profiling to understand source data and support quality outcomes.
  • Develop and validate source-to-target mappings and transformation logic.
  • Implement and test end-to-end data solutions under the guidance of senior engineers.
  • Follow established practices to ensure sensitive data is protected and handled appropriately.

Analytics Enablement & Delivery
  • Support data discovery efforts and help prototype datasets that bring together multiple data sources.
  • Leverage existing tools to enable reporting and visualization for Marketing users.
  • Document datasets and transformations to support usability and adoption.
  • Deliver work incrementally while balancing changing priorities.

Collaboration, Learning & Growth
  • Collaborate with delivery team members, architects, and business partners.
  • Communicate clearly about progress, risks, and dependencies.
  • Learn and apply Baird data standards, tools, and best practices.
  • Seek feedback and coaching from senior Data & Analytics Engineers.
  • Continuously build skills through training, documentation, and hands-on experience.

What You'll Bring to Baird:
  • 5-7 years of experience delivering data and analytics solutions in a collaborative environment.
  • Experience with data engineering, analytics, or BI development.
  • Strong SQL skills and familiarity with relational data concepts.
  • Experience performing data analysis, profiling, and validation.
  • Ability to work with business partners to understand and support analytics needs.
  • Curiosity, strong problem-solving skills, and a desire to grow technically.

Technical Experience (Representative, Not Exhaustive)
  • Databases / Platforms: SQL Server, Snowflake, Azure SQL Database, Azure Data Lake.
  • Data Integration: SSIS, dbt, Azure Data Factory, or similar tools.
  • Query & Development: SQL, T-SQL, Azure Data Studio.
  • BI & Analytics Tools: Power BI, Alteryx, or similar.
  • Data Modeling & Governance: Basic 3NF and dimensional modeling, data mapping, data profiling, data quality concepts.
  • Data Formats: CSV, JSON, XML, Parquet.

Highly Preferred (Marketing Analytics)
  • Exposure to and experience with marketing or customer data (campaigns, digital engagement, CRM, or customer interaction data).
  • Interest in marketing measurement concepts such as attribution, segmentation, or funnels.
  • Experience working in a regulated or data-sensitive environment.

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