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Manager Data Analytics Engineer Jobs in Wisconsin

Pwc

Data Engineer - Senior Associate

Milwaukee, WI · On-site

$77K - $202K/yr

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

Pwc

Data Engineer - Manager

Milwaukee, WI · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Engineer - Manager, you will play a pivotal role in transforming raw data ...

Alliantenergy

Manager Data Engineering

Madison, WI

We're searching for a visionary Manager of Data Engineering who can blend strong people leadership ... analytics initiatives, and take Alliant to the next level of data maturity. If driving ...

Alliant Energy

Manager Data Engineering

Madison, WI · On-site

We're searching for a visionary Manager of Data Engineering who can blend strong people leadership ... analytics initiatives, and take Alliant to the next level of data maturity. If driving ...

Alliant Energy

Manager Data Engineering

Madison, WI · On-site

They are seeking a visionary Manager of Data Engineering to lead the strategy and execution of their data ecosystem, transitioning from legacy platforms to cloud-native solutions. Responsibilities ...

Pwc

Data Engineer - Senior Associate

Milwaukee, WI · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Milliman

Data Engineer (MedInsight)

Appleton, WI · On-site +1

$93K - $177K/yr

... on MedInsight analytic solutions for healthcare cost and care management. MedInsight has been ... We are seeking a skilled and driven Data Engineer to design, build, and optimize scalable data ...

Milliman

Data Engineer (MedInsight)

Brookfield, WI · On-site +1

$93K - $177K/yr

... on MedInsight analytic solutions for healthcare cost and care management. MedInsight has been ... We are seeking a skilled and driven Data Engineer to design, build, and optimize scalable data ...

Fielmann USA

Data Engineer II

Green Bay, WI · On-site

$111K - $133K/yr

... management policies • Plan and execute system expansion to support company growth and analytic ... in computer science, data engineering, information systems, or related field or equivalent ...

Pwc

Data Strategy-Manager

Milwaukee, WI · On-site

$99K - $232K/yr

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

Pwc

Data Governance- Manager

Milwaukee, WI · On-site

$99K - $232K/yr

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

TTM Technologies

Data Analyst

Chippewa Falls, WI · On-site

TTM stands for time-to-market, representing how TTM's time-critical, one-stop design, engineering ... Identify the data-analytics problems that offer the greatest opportunities to the organization ...

Ttmtech

Data Analyst

Chippewa Falls, WI

TTM stands for time-to-market, representing how TTM's time-critical, one-stop design, engineering ... Identify the data-analytics problems that offerthe greatest opportunitiesto the organization ...

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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.
Senior Analytics Engineer (Breakthrough)

Senior Analytics Engineer (Breakthrough)

U.S. Venture, Inc.

Green Bay, WI • On-site

$101K - $139K/yr

Full-time

Posted 5 days ago

U.S. Venture rating

7.3

Company rating: 7.3 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

170th of 338 rated retail wholesalers

Job description

POSITION SUMMARY
About Breakthrough
At Breakthrough, we empower our clients with data, technology, and market knowledge to reduce costs, create efficient networks, and decarbonize transportation. As a strategic partner to our clients, we challenge legacy practices in the $700 billion transportation industry, delivering sustainable fuel and freight products that foster fair partnerships and environmental responsibility.
As a digital product company, our culture thrives on curiosity, autonomy, and purpose-driven innovation. Here, you're not just executing tasks; you're collaborating with a team dedicated to transforming transportation and making a tangible impact on the global economy and the planet.
The Role
As a Senior Analytics Engineer, you will play a crucial role in the design, development, and implementation of robust, scalable, and high-performance analytics solutions. You will be responsible for analytic data modeling, building efficient ETL processes, and seamless integrations with SaaS products and visualization tools, leveraging your expertise to drive technical excellence across the team.
We're seeking individuals who excel in collaborative environments, are driven by the "why" behind their work and the core problems they're trying to solve, and are eager to develop innovative solutions while influencing the evolution of our systems, teams, and culture.
"At Breakthrough, we're figuring out things for the first time; things that no one else has ever done before" - Engineering leader, Breakthrough
This role is open to work on-site in Green Bay or remote/hybrid options based on relevancy of candidate experience.
JOB RESPONSIBILITIES
What You'll Do
  • Collaborate with cross-functional teams-including product owners, designers, and fellow engineers-to build reliable, scalable systems.
  • Working closely with our clients, market experts, and the broader Breakthrough team, you will build innovative solutions that solve industry problems.
  • Lead the end-to-end design and implementation of new product features and services.
  • Learn and apply the latest technologies to our cloud native solutions.
  • Write clean, maintainable code accompanied by comprehensive automated tests.
  • Review pull requests, mentor other engineers, and elevate the technical standards within the team.
  • Contribute to technical strategy, system design, and process improvements.
  • Participate in our on-call rotation and support production systems, embracing a shared ownership model.

Learn more about the work you'll do at Breakthrough and our culture here.
This Role Might Be a Great Fit If...
  • You're enthusiastic about tackling complex challenges and can distill them into actionable solutions.

  • You prioritize writing clean, readable, and testable code, while understanding the importance of pragmatism.

  • Understanding the underlying purpose of your work motivates you, beyond merely delivering features.

  • You thrive in collaborative settings, engaging with engineers, product owners, and designers to achieve common goals.

  • You're committed to advancing sustainability in transportation and reducing environmental impact through technological innovation.

This Role Might Not Be the Best Fit If...
  • You prefer working in isolation or solely on predefined tasks without broader context.

  • Adaptability to shifting priorities in a dynamic environment is challenging for you.

  • Collaborating with non-engineering disciplines, such as product and design, doesn't align with your working style.

  • You seek a rigid hierarchical structure to guide all decision-making processes.

  • Mentoring others and contributing to team growth aren't areas of interest for you.

How We Work
  • Hybrid-Friendly: While many team members are based in Green Bay, we embrace remote work and prioritize impact over location.

  • Cross-Functional Teams: You'll be part of an agile team of fellow engineers, fostering a holistic approach to product development by working with Product Owners, Quality Assurance, and others throughout the organization.

  • Continuous Improvement: We regularly conduct retrospectives, refine our processes, and invest in addressing technical debt to enhance our workflows.

  • Empowered Engineers: Beyond task execution, you're encouraged to influence both what we build and how we build it, ensuring alignment with our strategic objectives.

QUALIFICATIONS
What you bring
  • Bachelor's degree in Computer Science or a related technical field involving coding (e.g, physics or mathematics), or equivalent technical experience.
  • 10+ years as a data or analytics engineer, with a focus on a combination of data modeling and engineering.
  • In depth experience in designing and implementing scalable and high-performance analytics features.
  • Strong proficiency in multiple programming languages, frameworks, and technologies, specifically dbt, SQL, Jinja, BigQuery, cube, and Python.
  • Expert knowledge of data architectures, security best practices, and data integration concepts.
  • Experience with ETL technologies and data engineering with a focus on building and maintaining data platforms, data pipelines, and data ingestion tools.
  • Exposure to modern infrastructure such as code technologies like Docker, Kubernetes, Terraform, and Airflow.
  • In depth understanding of database concepts, data modeling, and data warehousing principles.
  • Strong understanding of distributed data management systems and related applications.
  • Familiarity with public cloud infrastructure design, tools, and strategies.
  • Experience with software development methodologies including Agile, Kanban, and Scrum
  • A growth mindset and excitement for using AI to drive innovation, improve workflows and solve complex problems.
  • Collaborative by nature, you value pairing, whiteboarding sessions, and learning from diverse perspectives.
  • Passionate about delivering high-quality products that enhance client experiences and drive sustainability in transportation.

Tech We Use
  • Backend: Python, Postgres
  • Frontend: Node, React, TypeScript, graphQL
  • Cloud & Infrastructure: Google Cloud Platform (GCP), Terraform, Docker
  • Data & Analytics: BigQuery, dbt
  • Monitoring & Observability: GCP Monitoring

Why Breakthrough
  • Mission-Driven Work: Engage in projects that have a tangible impact on the economy and the environment. Hear more about our innovation in this video.
  • Supportive Culture: Experience a workplace that values autonomy, growth, and meaningful contributions.
  • Leadership Opportunities: Take on roles that allow you to mentor, guide, and shape the future of our products and technological direction.
  • Established Backing: As a U.S. Venture company, we benefit from a legacy of innovation and a commitment to sustainable practices.

Apply Now
If you're driven to develop smarter, cleaner transportation solutions and want to be part of a team that's making a difference, we'd love to hear from you!
#Breakthrough
DIVISION:
Breakthrough
U.S. Venture will not offer sponsorship for employment status (including, but not limited to, H-1B, TN, E-3, F1, CPT, OPT, STEM OPT, visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require U.S. Venture's sponsorship to continue to work legally in the United States. In general, U.S. Venture does not sponsor candidates for nonimmigrant visas or permanent residency except when there is a specific business need.
U.S. Venture will not accept unsolicited resumes from recruiters or employment agencies. In the absence of an executed recruitment Master Service Agreement, there will be no obligation to any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without an agreement, U.S. Venture shall reserve the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted to hiring managers, shall be deemed the property of U.S. Venture.
U.S. Venture, Inc. is an equal opportunity employer that is committed to inclusion and diversity. We ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, marital status, age, national origin, disability, veteran status, genetic information, or other protected characteristic. If you need assistance or an accommodation due to a disability, you may call Human Resources at (920) 739-6101.
50-57-504-0000

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