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Manager Data Analytics Engineer Jobs in Wisconsin

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 ...

BI Analytics Engineer

Milwaukee, WI · On-site

$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 ...

BI Analytics Engineer

Pleasant Prairie, WI · On-site

$49.50 - $64.25/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 ...

BI Analytics Engineer

Pleasant Prairie, WI · On-site

$49.50 - $64.25/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 ...

BI Analytics Engineer

Kenosha, WI · On-site

$49.75 - $64.75/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 ...

Data Engineer - Senior Manager

Milwaukee, WI · On-site

$124K - $280K/yr

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 ...

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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 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.

Analytics Data Developer - Strategic Analytics

Accuity

Sheboygan, WI

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

Acuity is seeking an Analytics Data Developer to be responsible for designing, building, and optimizing Acuity’s Strategic Analytics Team’s data pipelines and data marts to enable efficient and scalable analytical workflows. This role plays a critical part in ensuring that high-quality, trusted data is readily available to drive insight generation, predictive modeling, and data-driven decision-making across the enterprise. The Analytics Data Developer will support our data scientists, analytics product managers, insight analysts, and reporting analysts by developing robust data ingestion, transformation, and enrichment processes. They will ensure the reliability, performance, and integrity of the data ecosystem while maintaining strong data governance and comprehensive documentation.

Internal deadline to apply: December 22nd, 2025

ESSENTIAL FUNCTIONS: 

  • Design, build, and optimize scalable and maintainable data pipelines and data marts to support analytics and reporting needs.
  • Perform data ingestion, transformation, and enrichment from various structured and unstructured data sources.
  • Monitor, troubleshoot, and optimize pipelines to ensure data quality, reliability, and performance.
  • Maintain strong data governance by adhering to established standards for data quality, lineage, security, and documentation.
  • Collaborate closely with data scientists, analysts, engineers, and business partners to translate analytic requirements into efficient data solutions.
  • Contribute to continuous improvement efforts through automation, performance tuning, and best practice adoption in data development.
  • Support data platform modernization efforts by integrating new technologies and approaches that enhance analytical capability.
  • Excellent teamwork, coordination, influence and communication skills.
  • Ability to develop timely and effective solutions for challenging design problems.
  • Establishes relationships with data owners, experts and SMEs across a wide variety of Acuity data domains.
  • Work closely with data scientists and analysts to develop and build analytical products.
  • Acquire, analyze, combine, synthesize, and store data from a wide range of internal and external sources as it pertains to model development.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Partner with business and technical leaders to prioritize data needs to expand Acuity’s analytical data universe.
  • Develops and supports monitoring solutions for the ML system and components.

EDUCATION:   

Bachelor’s degree in computer science, MIS, Data Engineering, Business or related field.

EXPERIENCE:  

3+ years of experience developing data pipelines, data marts, or ETL/ELT workflows in a modern data environment. Proficiency in SQL and at least one programming language such as Python, Scala, or Java.

OTHER QUALIFICATIONS: 

  • Demonstrated experience designing and implementing Medallion Architecture (Bronze–Silver–Gold layers) in a cloud or distributed data environment.
  • Experience with modern data warehousing and processing platforms (e.g., Snowflake, Databricks, Azure Synapse, or similar).
  • Familiarity with data governance, metadata management, and version control best practices.
  • Strong problem-solving skills, attention to detail, and ability to operate independently in a fast-paced, collaborative environment.
  • Excellent communication and interpersonal skills with a demonstrated ability to work effectively with both technical and non-technical stakeholders.
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

      *Acuity does not sponsor applicants for U.S. work authorization.*

      This job is classified as exempt.

      For this role, Acuity offers a comprehensive benefits package, including a generous 401(k) contribution, medical, dental, vision, life and disability insurance, paid time off, an Employee Assistance Program, and more. A full description of benefits and eligibility will be provided to candidates during the hiring process. 

      We are an Equal Employment Opportunity employer. Applicants and employees are considered for positions and are evaluated without regard to mental or physical disability, race, color, religion, gender, national origin, age, genetic information, military or veteran status, sexual orientation, marital status or any other protected Federal, State/Province or Local status unrelated to the performance of the work involved. 

      Acuity will include at least one in-person interview during the hiring process for all positions. 

      If you have a disability and require reasonable accommodations to apply or during the interview process, including for in-person interviews, please contact our Talent Acquisition team at careers@acuity.com. Acuity is dedicated to offering reasonable accommodations during our recruitment process for qualified individuals.