1

Data Analyst Project Manager Jobs in Wisconsin (NOW HIRING)

PLM Data Analyst Location: Onsite Critical in Racine, WI Duration: 6 Months Hours: Flexibility ... Cycle Management) environment. 2. Experience with Microsoft Office word, excel, pdfs 3. Proven ...

... projects involving the Workflow configuration of our dental systems, including aspects of client ... Manages and maintains configuration data required for core claims processing system settings.

... data management within an ERP environment (SAP, PeopleSoft, or equivalent) * Strong working ... Strong analytical and problem-solving skills with excellent attention to detail * Clear and ...

... data management within an ERP environment (SAP, PeopleSoft, or equivalent) * Strong working ... Strong analytical and problem-solving skills with excellent attention to detail * Clear and ...

The Project Manager is responsible for managing the Service Provider Network. This unique position ... Strong background in data analytics used to develop reports, charts, spreadsheets, and dashboards ...

... data management within an ERP environment (SAP, PeopleSoft, or equivalent) * Strong working ... Strong analytical and problem-solving skills with excellent attention to detail * Clear and ...

The Project Manager is responsible for managing the Service Provider Network. This unique position ... Strong background in data analytics used to develop reports, charts, spreadsheets, and dashboards ...

... projects involving the Workflow configuration of our dental systems, including aspects of client ... Manages and maintains configuration data required for core claims processing system settings.

Analyze project profitability forecasts appropriate monthly costs for revenue recognition and ensures timely and accurate invoicing. * Provide Project Management Practices and Solution Development ...

Analyze project profitability forecasts appropriate monthly costs for revenue recognition and ensures timely and accurate invoicing. * Provide Project Management Practices and Solution Development ...

next page

Showing results 1-20

Data Analyst Project Manager information

See Wisconsin salary details

$34.3K

$83.4K

$137.3K

How much do data analyst project manager jobs pay per year?

As of Jun 12, 2026, the average yearly pay for data analyst project manager in Wisconsin is $83,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $97,900.00 per year, depending on experience, location, and employer.

Who earns more, BA or PM?

In the context of a Data Analyst Project Manager role, project managers typically earn higher salaries than business analysts due to greater responsibilities, leadership requirements, and experience levels. Salaries can vary based on industry, location, and certifications like PMP, but project managers generally have higher compensation than business analysts.

What are the key skills and qualifications needed to thrive as a Data Analyst Project Manager, and why are they important?

To thrive as a Data Analyst Project Manager, you need expertise in data analysis, project management methodologies, and a relevant degree such as in statistics, computer science, or business. Familiarity with data visualization tools (e.g., Tableau, Power BI), project management software (e.g., Jira, Asana), and certifications like PMP or CAPM are often required. Strong communication, problem-solving, and leadership skills help you bridge technical teams and stakeholders while managing timelines and expectations. These abilities ensure that data-driven projects are executed efficiently, deliver actionable insights, and meet organizational goals.

What is a data analyst project manager?

A data analyst project manager is a professional who combines data analysis skills with project management responsibilities. They oversee data-related projects, coordinate teams, ensure timely delivery, and use tools like Excel, SQL, or project management software to meet organizational goals.

What is the difference between Data Analyst Project Manager vs Data Analyst?

AspectData Analyst Project ManagerData Analyst
Primary RoleOversees data projects, manages teams, and ensures project deliveryAnalyzes data, creates reports, and provides insights
Required SkillsProject management, data analysis, communicationData analysis, statistical skills, visualization
CertificationsPM certifications (e.g., PMP), data analysis toolsData analysis certifications (e.g., Microsoft, SAS)
Work EnvironmentProject teams, cross-functional collaborationData-focused teams, analytics departments

The main difference is that a Data Analyst Project Manager combines project management with data analysis skills to lead data initiatives, while a Data Analyst primarily focuses on analyzing data and generating insights. The Project Manager role involves overseeing projects from start to finish, coordinating teams, and ensuring timely delivery, whereas the Data Analyst role centers on data interpretation and reporting.

Can a project manager become a data analyst?

A project manager can transition to a data analyst role by developing skills in data analysis tools such as Excel, SQL, and statistical software, along with understanding data visualization and interpretation. Prior experience in managing projects can be valuable, but acquiring technical skills and relevant certifications is often necessary for the switch.

How do Data Analyst Project Managers typically balance analytical work with project management responsibilities?

Data Analyst Project Managers often split their time between overseeing project timelines and deliverables, and performing or reviewing data analysis tasks. This dual focus means they must prioritize effective communication and delegation, ensuring that project goals are met while maintaining high standards for data quality and insights. Collaboration with data analysts, stakeholders, and other project managers is essential, as they often facilitate meetings, translate technical findings into actionable recommendations, and resolve obstacles that might affect the project's progress. Successfully managing both aspects requires strong organizational skills and the ability to adapt to shifting priorities.

Is 40 too late for data science?

For a Data Analyst Project Manager, starting a career in data science at age 40 is feasible, as many skills such as statistical analysis, programming, and data visualization can be learned at any age. Experience in project management and domain knowledge can also be valuable assets in transitioning to data science roles, which often value diverse backgrounds and continuous learning. Certifications in data science tools like Python, R, or SQL can enhance employability regardless of age.
What are popular job titles related to Data Analyst Project Manager jobs in Wisconsin? For Data Analyst Project Manager jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Data Analyst Project Manager jobs in Wisconsin look for? The top searched job categories for Data Analyst Project Manager jobs in Wisconsin are:
What cities in Wisconsin are hiring for Data Analyst Project Manager jobs? Cities in Wisconsin with the most Data Analyst Project Manager job openings:
Infographic showing various Data Analyst Project Manager job openings in Wisconsin as of June 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $83,413 per year, or $40.1 per hour.
Master Data Analyst

Master Data Analyst

HellermannTyton Corporation

Milwaukee, WI โ€ข On-site

Full-time

Posted 21 days ago


Job description

Job Summary:
The Master Data Analyst is responsible for supporting and coordinating North America master data governance activities to ensure high-quality, consistent, and trusted data across systems and platforms. This role partners closely with business data stewards, functional teams, IT, and reporting teams to define, maintain, and improve master data attributes, processes, and data quality.
The Master Data Analyst plays a critical role in ERP master data execution, governance compliance, and reporting design enablement for both ERP and Business Intelligence (BI) solution.
This will be achieved while maintaining HellermannTyton's Quality and EHS certifications by supporting all corporate policies, procedures, work instructions and required documentation.
Essential Functions:
Master Data Governance & Stewardship
  • Support and coordinate North America master data governance activities across key domains (e.g., Customer, Product, Vendor, Material, Location).
  • Partner with business data stewards to maintain master data standards, ownership, and accountability.
  • Facilitate governance workflows related to master data creation, change, approval, and retirement.
  • Ensure adherence to master data policies, naming standards, hierarchies, and reference data definitions.

Master Data Maintenance & Quality
  • Work with business and functional teams to define, validate, and maintain master data attributes and business rules.
  • Monitor and analyze master data quality, identifying issues related to completeness, accuracy, consistency, and timeliness.
  • Support data quality remediation efforts, root cause analysis, and continuous improvement initiatives.
  • Assist in defining and tracking data quality metrics and KPIs.

ERP Master Data Support
  • Support master data activities within the ERP environment (e.g., customer, product, vendor, pricing, organizational structures).
  • Collaborate with ERP functional teams to ensure master data supports business processes and operational needs.
  • Assist during ERP implementations, enhancements, and upgrades, including data migration, validation, and reconciliation.
  • Document master data-related processes, roles, and controls.

Reporting & Analytics Enablement
  • Partner with reporting and analytics teams to ensure master data is fit-for-purpose for ERP reporting and BI solutions.
  • Support the design of master data structures, hierarchies, and attributes that enable consistent reporting and analytics.
  • Collaborate in aligning ERP master data with BI semantic models, dimensions, and reference data.

Cross-Functional Collaboration
  • Act as a liaison between business, IT, ERP, and BI teams on master data-related topics.
  • Support change management and communication related to master data standards and governance processes.
  • Contribute to master data documentation, training materials, and user guidance.

Success in this role will require
  • Data governance and stewardship mindset
  • Strong attention to detail and data accuracy
  • Ability to translate business needs into data attributes and standards
  • Comfortable operating between business and technical teams
  • Process-oriented with a continuous improvement focus

What You'll Bring
  • Bachelor's degree in information systems, Business Administration, Data Analytics, Supply Chain, or a related field.
  • 3+ years of experience in master data management, data governance, or ERP data support.
  • Working knowledge of ERP systems (e.g., SAP, Oracle, JDE).
  • Experience working with business data stewards and cross-functional teams.
  • Strong understanding of master data concepts, including attributes, hierarchies, reference data, and data quality.
  • Experience supporting reporting and analytics initiatives (ERP reporting and/or BI tools).
  • Strong analytical, organizational, and problem-solving skills.
  • Excellent written and verbal communication skills.

Preferred / Nice-to-Have Qualifications
  • Experience supporting master data during ERP transformations or migrations.
  • Familiarity with data governance frameworks and operating models.
  • Experience with BI tools such as Power BI, Tableau, or similar platforms.
  • Exposure to data quality tools, MDM platforms, or data catalog tools.
  • Experience in manufacturing, distribution, or supply chain environments.
  • Understanding of dimensional modeling concepts (facts, dimensions) for analytics.

By applying for a position with HellermannTyton, you understand that should you be made an offer, it will be contingent on your undergoing and successfully completing a background check through the use of our 3rd party supplier. Background checks may include some or all of the following based on the nature of the position: SSN/SIN validation, education verification, employment verification, criminal check, driving history, and drug test. You will be notified during the hiring process of which checks are required by the position.
HellermannTyton Corporation is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.