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Manager Data Analytics Engineer Jobs in Wisconsin

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Data Engineering & Data Management: * Contribute to the design, build, and maintenance of data ... Perform data analysis and profiling to understand source data and support quality outcomes

Data & Analytics Engineer

Milwaukee, WI · Hybrid

$112K - $135K/yr

Data Engineering & Data Management: * Contribute to the design, build, and maintenance of data ... Perform data analysis and profiling to understand source data and support quality outcomes

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Data Engineering & Data Management: * Contribute to the design, build, and maintenance of data ... Perform data analysis and profiling to understand source data and support quality outcomes

We are seeking a Data Analytics Engineer for a 6 month contract-to-hire role with a financial ... General Data Management Play a critical role in architecting our data and analytics solution ...

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 ...

$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:

Bachelor's degree in Computer Science, Information Management, Data Science/Analytics, or ... Analytics engineering or data engineering experience preferred * Familiarity with with ETL/ELT ...

Bachelor's degree in Computer Science, Information Management, Data Science/Analytics, or ... Analytics engineering or data engineering experience preferred * Familiarity with with ETL/ELT ...

Analytics Manager

Cornell, WI · On-site

$139K - $193K/yr

Manager, Data Shared Services Position Summary The Manager, Data Shared Services (DSS) leads a team of Analytics Developers responsible for delivering enterprise data products, dashboards, semantic ...

Analytics Manager

Cornell, WI · On-site

$139K - $193K/yr

Manager, Data Shared Services Position Summary The Manager, Data Shared Services (DSS) leads a team of Analytics Developers responsible for delivering enterprise data products, dashboards, semantic ...

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

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Showing results 1-20

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:
Infographic showing various Manager Data Analytics Engineer job openings in Wisconsin as of July 2026, with employment types broken down into 1% Internship, 90% Full Time, 6% Part Time, 1% Temporary, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.
Data & Analytics Engineer

Data & Analytics Engineer

Baird

Milwaukee, WI • On-site

$112K - $135K/yr

Full-time

Posted 16 days ago


Baird rating

8.5

Company rating: 8.5 out of 10

Based on 11 frontline employees who took The Breakroom Quiz


Job description

About the Role:
Are you energized by transforming complex financial services data into meaningful insights that influence real business decisions? Do you enjoy blending hands-on technical work with close collaboration across business teams? Are you looking for an opportunity to expand your expertise in analytics engineering, data modeling, and modern cloud data platforms in an environment that values curiosity and continuous learning?
As Baird continues to invest in data as a strategic asset, we are adding a Data & Analytics Engineer to our growing IT Data Team. In this role, you'll play a meaningful part in shaping how financial services data is structured, transformed, and delivered to drive smarter decision-making across the firm. You'll contribute to building scalable, high-quality data solutions while partnering closely with stakeholders to turn evolving business needs into actionable insights.
This is an excellent opportunity for a data professional who thrives in a collaborative, agile environment and enjoys solving complex problems while delivering incremental value. You'll gain exposure to modern data tools and practices, work alongside experienced engineers and architects, and continuously grow your technical and business acumen.
This position is hybrid, offering a combination of 2 day/week remote work and 3 days/week in our collaborative downtown Milwaukee workspace. At Baird, you'll find a supportive culture centered on teamwork, continuous learning, and making a meaningful impact through data.
The Impact You'll Make:
Data Engineering & Data Management:
  • Contribute to the design, build, and maintenance of data pipelines that ingest and transform financial services 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 financial services 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 in data engineering, analytics engineering, business intelligence development, or a related data-focused role
  • Strong SQL skills and familiarity with relational database concepts and best practices
  • Experience performing data analysis, profiling, validation, and troubleshooting to support reliable data solutions
  • Ability to partner effectively with business stakeholders to understand requirements and support analytics needs
  • Strong problem-solving skills, intellectual curiosity, and a desire to continuously grow technical expertise
  • Experience with databases and platforms such as SQL Server, Snowflake, Azure SQL Database, and Azure Data Lake
  • Experience writing queries and developing solutions using SQL, T-SQL, Azure Data Studio, or similar tools
  • Familiarity with BI and analytics tools such as Power BI, Alteryx, or comparable platforms
  • Working knowledge of data modeling and governance concepts, including 3NF, dimensional modeling, data mapping, data profiling, and data quality practices
  • Experience working with common data formats such as CSV, JSON, XML, and Parquet
  • Experience working in a regulated or data-sensitive environment is preferred
  • Bachelor's degree in Computer Science, MIS, Business Administration, Finance, or equivalent experience

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