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Process Improvement Data Analyst Jobs in Wisconsin

Master Data Analyst

Milwaukee, WI ยท On-site

$70 - $100/hr

... processes, and data quality. The Master Data Analyst plays a critical role in ERP master data ... Support data quality remediation efforts, root cause analysis, and continuous improvement ...

WI ยท On-site

$80 - $100/hr

Ensure data quality is maintained through a data governance process and regular monitoring ... At least 6 years of data analysis experience. * Primary skill set should be SQL. * Mandatory ...

Streamline and standardize reporting processes to ensure timely, accurate delivery of key metrics ... Connect analytical findings to business outcomes and Firm priorities Continuous Improvement ...

Streamline and standardize reporting processes to ensure timely, accurate delivery of key metrics ... Connect analytical findings to business outcomes and Firm priorities Continuous Improvement ...

Senior Data Analyst

Oak Creek, WI ยท On-site

$82K - $103K/yr

Lead, mentor, and empower a high-performing team of data analysts, fostering continuous improvement ... process, please contact Human Resources at 414-761-1610 or hr2@tcnb.com (**Must be 21 to enroll in ...

Senior Data Analyst

Oak Creek, WI ยท On-site

$82K - $103K/yr

Lead, mentor, and empower a high-performing team of data analysts, fostering continuous improvement ... process, please contact Human Resources at 414-761-1610 or hr2@tcnb.com (**Must be 21 to enroll in ...

Senior Data Analyst

Oak Creek, WI ยท On-site

$82K - $103K/yr

Lead, mentor, and empower a high-performing team of data analysts, fostering continuous improvement ... process, please contact Human Resources at 414-761-1610 or hr2@tcnb.com (**Must be 21 to enroll in ...

Senior Data Analyst

Oak Creek, WI ยท On-site

$95 - $130/hr

Lead, mentor, and empower a high-performing team of data analysts, fostering continuous improvement ... process, please contact Human Resources at 414-761-1610 or hr2@tcnb.com (**Must be 21 to enroll in ...

Showing results 41-60

Process Improvement Data Analyst information

What does a process improvement data analyst do?

A Process Improvement Data Analyst is responsible for analyzing business processes, identifying areas for improvement, and using data-driven methods to recommend solutions. They collect and examine data related to workflows, efficiency, and productivity, then use statistical tools to identify bottlenecks or inefficiencies. By collaborating with different teams, they help implement changes that streamline operations, reduce costs, and improve overall performance. Their work often supports continuous improvement initiatives within an organization.

What are the key skills and qualifications needed to thrive as a process improvement data analyst?

To thrive as a Process Improvement Data Analyst, you need strong analytical skills, a solid understanding of process mapping, and proficiency in statistics, usually supported by a degree in business, engineering, or a related field. Familiarity with data analysis tools like SQL, Excel, Tableau, and process improvement methodologies such as Lean Six Sigma certification is highly beneficial. Exceptional problem-solving, communication, and collaboration skills help you present findings and drive change across teams. These skills ensure you can identify inefficiencies, support data-driven decisions, and effectively implement improvements that add value to the organization.

How does a process improvement data analyst typically collaborate with cross-functional teams to drive efficiency?

A Process Improvement Data Analyst works closely with stakeholders from various departments, such as operations, IT, and management, to identify inefficiencies and recommend data-driven solutions. Collaboration often involves facilitating workshops, leading discussions to map current processes, and sharing analytical findings to ensure everyone understands the root causes of bottlenecks. Regular meetings and clear communication are essential, as analysts must balance technical insights with practical suggestions that teams can implement. This collaborative approach not only helps in building consensus but also ensures that solutions are tailored to each team's unique workflows.

What is the difference between Process Improvement Data Analyst vs Business Analyst?

AspectProcess Improvement Data AnalystBusiness Analyst
Required CredentialsBachelor's in Data Analytics, Business, or related field; certifications like Six Sigma or LeanBachelor's in Business, IT, or related; certifications like CBAP or PMI-PBA
Work EnvironmentData-driven teams, process improvement projects, operational settingsProject teams, stakeholder meetings, business process analysis
Employer & Industry UsageManufacturing, healthcare, finance, logisticsIT, finance, consulting, corporate sectors

The Process Improvement Data Analyst focuses on analyzing data to optimize processes and increase efficiency, often working closely with operational teams. In contrast, a Business Analyst evaluates business needs, documents requirements, and facilitates solutions across various departments. While both roles require analytical skills and some overlapping certifications, their primary focus and daily tasks differ significantly.

What are popular job titles related to Process Improvement Data Analyst jobs in Wisconsin?

For Process Improvement Data Analyst jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Process Improvement Data Analyst jobs in Wisconsin look for?

The top searched job categories for Process Improvement Data Analyst jobs in Wisconsin are:

What cities in Wisconsin are hiring for Process Improvement Data Analyst jobs?

Cities in Wisconsin with the most Process Improvement Data Analyst job openings:

Master Data Analyst

HellermannTyton group

Milwaukee, WI โ€ข On-site

$70 - $100/hr

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Job Description

Job Summary: The Master Data Analyst is responsible for supporting and coordinating North America master data governance activities to ensure highโ€‘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) solutions.

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 dataโ€‘related processes, roles, and controls.
Reporting & Analytics Enablement
  • Partner with reporting and analytics teams to ensure master data is fitโ€‘forโ€‘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.
Crossโ€‘Functional Collaboration
  • Act as a liaison between business, IT, ERP, and BI teams on master dataโ€‘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
  • Processโ€‘oriented with a continuous improvement focus
What Youโ€™ll Bring
  • Bachelorโ€™s degree in information systems, Business Administration, Data Analytics, Supply Chain, or 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 crossโ€‘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 problemโ€‘solving skills.
  • Excellent written and verbal communication skills.
Preferred / Niceโ€‘toโ€‘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.

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.

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