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Data Processing Jobs in Madison, WI (NOW HIRING)

SSM Health

Sterile Processing Technician

Madison, WI · On-site

Rare crawling, sitting and keyboard use/data entry. REQUIRED PROFESSIONAL LICENSE AND/OR CERTIFICATIONS * None Department: 6459790164 SCC Sterile Processing Work Shift: Variable Shift (United States ...

Verizon Communications

Data Entry

Arlington, WI

$16.75 - $22.25/hr

1) Interacting With Computers -- Using computers and computer systems (including hardware and software) to program, write software, set up functions, enter data, or process information. 2) Evaluating ...

SSM Health

Sterile Processing Technician

Madison, WI · On-site

Rare crawling, sitting and keyboard use/data entry. REQUIRED PROFESSIONAL LICENSE AND/OR CERTIFICATIONS * None Department: 3100000007 Sterile Processing Work Shift: Variable Shift (United States of ...

Innovizant LLC

Data Scientist

Madison, WI · On-site

... process or improve upon the program. • Extremely proficient in Data Analysis, data wrangling, model development, software development, A/B Testing, Back Testing. • Extremely efficient in Python ...

Innovizant LLC

Data Scientist

Madison, WI

Candidate will be helping the client to lead this process or improve upon the program. Extremely proficient in Data Analysis, data wrangling, model development, software development, A/B Testing ...

US Department of Commerce

Data Scientist

Madison, WI · On-site

$147K/yr

Providing guidance or consultations to scientific professionals in areas such as environmental data acquisition, processing, data basing, or information generation and visualization. Education:

Amgen

Senior Data Scientist

Madison, WI · On-site

Design, develop, and deploy first principles, machine learning, and hybrid models to optimize biopharmaceutical processes. * Integrate modeling software with connectivity to real-time equipment data ...

Amgen SA

Senior Data Scientist

Madison, WI · On-site

$120 - $190/hr

Senior Data Scientist What you will do Let's do this! Let's change the world! In this vital role ... Understanding of biopharmaceuticals process and related unit operations * Experience using Git for ...

Rural Mutual Insurance

Data Engineer

Madison, WI

$120K/yr

Design and implement dimensional (star schema) data models that accurately represent business processes and support analytical needs. * Partner with business stakeholders, analysts, and technical ...

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Data Processing information

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How much do data processing jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data processing in Madison, WI is $20.42, according to ZipRecruiter salary data. Most workers in this role earn between $16.25 and $22.55 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in data processing, and why are they important?

To thrive in Data Processing, you need strong analytical abilities, attention to detail, and proficiency with spreadsheets and database management, often supported by an associate's degree or relevant experience. Familiarity with tools like Microsoft Excel, SQL, or data entry software, as well as certifications such as Certified Data Processor (CDP), are frequently expected. Strong organizational skills, time management, and the ability to troubleshoot problems efficiently are valued soft skills. These competencies are crucial for ensuring data accuracy, meeting deadlines, and supporting smooth information operations within an organization.

What is a data processing job role?

A data processing job involves collecting, organizing, and converting raw data into a usable format for analysis or reporting. It often requires skills in data management tools, attention to detail, and knowledge of data formats and software such as Excel, SQL, or specialized processing programs.

What are the typical daily responsibilities of someone working in data processing?

A typical day for a Data Processing professional involves entering, validating, and updating records in databases or spreadsheets to ensure data integrity. You may also be responsible for generating reports, cleaning large data sets, and identifying discrepancies or errors for correction. Collaboration with team members or departments is common to clarify data requirements and resolve issues. Staying organized and attentive to detail is essential because the quality of processed data can impact decision-making across the organization.

What is data processing?

A Data Processing job involves collecting, organizing, and managing data to ensure accuracy and accessibility. Professionals in this role use software tools to input, clean, analyze, and process data for businesses or organizations. They may also generate reports and automate workflows to streamline data handling. Strong attention to detail and proficiency in data management tools are essential for success in this field.

What do you do as a data processing?

A data processing professional manages the collection, organization, and transformation of raw data into usable formats. This involves tasks such as data entry, cleaning, validation, and using tools like spreadsheets or specialized software to ensure data accuracy and readiness for analysis or reporting.

How do I get into data processing?

To enter data processing, develop skills in data management, programming languages like Python or SQL, and familiarity with data tools such as Excel or database systems. A relevant degree in computer science, information technology, or related fields can be helpful, and gaining experience through internships or entry-level positions can improve job prospects.
What are the most commonly searched types of Data Processing jobs in Madison, WI? The most popular types of Data Processing jobs in Madison, WI are:
What job categories do people searching Data Processing jobs in Madison, WI look for? The top searched job categories for Data Processing jobs in Madison, WI are:
What cities near Madison, WI are hiring for Data Processing jobs? Cities near Madison, WI with the most Data Processing job openings:
Data Processing jobs near you
Infographic showing various Data Processing job openings in Madison, WI as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $42,481 per year, or $20.4 per hour.

Lead, Master Data Management

Springs Window Fashions

Middleton, WI • On-site

$171K/yr

Other

Re-posted 6 days ago

Springs Window Fashions rating

6.7

Company rating: 6.7 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

Job description

Description
The Best Experience Company
Our tagline is "The Best Experience Company." More than just a set of words, it represents the essence of who we are at Springs Window Fashions. As North America's premier window covering company, we're committed to creating the Best Experience for our associates, consumers and end users, business partners, and communities. We want you to join our team of passionate self-starters who believe the world is full of Best Experience opportunities. So, if you're excited about the thought of a Best Experience career with a team focused on creating Best Experiences for all, we want to hear from you!
Position Overview
The Lead, Master Data Management (MDM) reports to the Director, Financial Systems & Analytics and serves as a lead contributor on enterprise MDM initiatives. This role balances hands-on technical execution with functional leadership and cross-functional collaboration, supporting the design, development, governance, and continuous improvement of scalable master data solutions across enterprise systems and business processes.
Key Responsibilities
The Manager, Master Data Management reports to the Director, Financial Systems & Analytics and leads the development and evolution of enterprise master data solutions and capabilities in close partnership with Data Engineering (DAWGs), BI & Analytics, and business teams. This role balances hands-on technical leadership with strategic planning and cross-functional collaboration, overseeing the design, implementation, and governance of scalable MDM processes, data models, and supporting platforms.
Key responsibilities for this position include:
Functional Leadership & Collaboration
  • Serve as a functional lead on MDM initiatives, guiding solution design, process definition, stewardship practices, and alignment with MDM standards and governance expectations.
  • Mentor and guide MDM Application Developers, MDM Analysts, and business data stewards, supporting skill development, knowledge sharing, and best practice adoption.
  • Partner with business stakeholders, Data Engineering, BI & Analytics, Financial Systems, and other IT counterparts to translate master data needs into scalable, governed solutions.
  • Coordinate cross-functional MDM workstreams, helping prioritize issues, resolve data and process challenges, and maintain continuity across systems and domains.
  • Serve as a backup to the Manager, Master Data Management, or as the primary MDM functional lead when needed, supporting stakeholder engagement, initiative leadership, and MDM delivery continuity.

MDM Solution Design & Process Enablement
  • Design, develop, and enhance master data solutions, workflows, data models, hierarchies, validation rules, and supporting processes across key enterprise data domains.
  • Support the evaluation, selection, and implementation of MDM platforms and tools to enable scalable and sustainable master data management capabilities.
  • Ensure MDM solutions support multiple data domains, including customer, product, vendor, financial, and other critical enterprise data.
  • Provide technical leadership in defining data models, hierarchies, solution workflows, and supporting structures that enable efficient, governed master data management.
  • Collaborate with Data Engineering & Architecture teams to align MDM solutions with enterprise data platforms, integration patterns, and downstream analytics needs.

Master Data Governance, Quality & Stewardship
  • Support the definition and adoption of master data standards, ownership models, stewardship workflows, and lifecycle management processes.
  • Partner with business data stewards to define data quality rules, validation logic, approval workflows, and maintenance processes.
  • Develop and monitor data quality standards, controls, and metrics to improve master data accuracy and consistency.
  • Drive root cause analysis and resolution of data quality issues across systems.
  • Lead continuous improvement of master data processes, workflows, and controls.

Enterprise Data Integration & Cross-Functional Alignment
  • Collaborate with the Data Warehousing & Integration (DAWGs) team to ensure master data is consistently integrated across enterprise systems and analytics platforms.
  • Partner with BI & Analytics teams to support trusted master data for reporting, dashboards, certified datasets, and decision-making.
  • Work closely with Financial Systems, Pricing, ERP, and operational teams to align master data structures with business processes and system requirements.
  • Support integration of multiple data sources and applications to enable reliable, consistent master data flows across enterprise platforms.
  • Contribute to documentation of data flows, source-to-target mappings, data definitions, and integration patterns that support enterprise data consistency.

MDM Capability Development & Continuous Improvement
  • Oversee support and drive improvement of MDM applications and processes, including issue resolution, enhancements, performance optimization, and workflow efficiency.
  • Ensure appropriate testing and release management practices are followed for MDM solutions to support reliable delivery and operational continuity.
  • Maintain documentation of MDM processes, solution designs, data structures, standards, and support procedures to enable knowledge transfer and consistent execution.
  • Track solution effectiveness and identify opportunities to mature MDM capabilities toward governed, decentralized maintenance, improved data quality, and scalable stewardship.

Requirements
Education and Experience
  • 4+ years of progressive experience in master data management, data governance, enterprise application development, or related enterprise data roles.
  • Bachelor's degree in Computer Science, Information Technology, Information Systems, Data Management, Data Science, Business Analytics, or a related field required.
  • Master's degree in a related field, such as Information Systems, Data Science, Business Analytics, or MBA, preferred but not required.
  • Professional certifications in data management, data governance, MDM platforms, business analysis, cloud platforms, or related technologies (e.g., Informatica, Microsoft Azure, AWS, or similar) are highly valued.
  • Experience translating business requirements into scalable technical solutions, data processes, workflows, validation rules, and data quality controls.
  • Experience designing, developing, supporting, or improving master data solutions, data models, workflows, or enterprise data applications.
  • Demonstrated commitment to ongoing professional development through training, certifications, conferences, and industry engagement.

Knowledge, Skills, and Abilities
Required
  • Strong proficiency in SQL and relational database concepts, with experience working with complex, multi-source datasets.
  • Familiarity with data governance practices, data quality management, stewardship workflows, and master data lifecycle processes.
  • Demonstrated ability to analyze complex data and process issues, perform root cause analysis, and develop practical solutions that improve data accuracy and reliability.
  • Experience collaborating across business and technical teams to deliver data-driven solutions aligned with operational, financial, analytical, or enterprise system needs.
  • Ability to provide guidance, influence stakeholders, and support alignment across cross-functional teams without relying solely on formal authority.
  • Strong communication skills with the ability to explain technical and data concepts to technical and non-technical stakeholders.

Preferred
  • Contribution to MDM or data governance initiatives in an enterprise environment.
  • Familiarity with MDM platforms or tools such as Informatica MDM, Reltio, Profisee, SAP MDG, Microsoft-based solutions, or similar technologies.
  • Working knowledge of multiple master data domains such as customer, product, vendor, financial, location, or organizational data.
  • Background supporting ERP, financial systems, pricing systems, product configuration, or other complex enterprise data structures.
  • Exposure to manufacturing, consumer products, or similarly complex environments with configurable products, multi-system data flows, or distributed data ownership.
  • Demonstrated ability to mentor technical or business team members, lead workstreams, or act as a lead contributor on data-related initiatives.

How We Work to Deliver a Best Experience: Our Culture
  • Our Core Value: We do the right thing, always
  • Our Seven Cultural Behaviors
  • Empowerment - We trust our people.
  • Ownership - We take 100% responsibility for our roles actions, and results.
  • Leadership - We all lead by example and talk direct with respect (DWR).
  • One Team - We are One Springs Team.
  • Customer First - We consider our customers' needs before every decision.
  • Continuous Innovation - We are constantly learning, innovating, and improving.
  • Speed - We define priorities and operate with a sense of urgency and agility.

What Springs Window Fashions employees say

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