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Data Quality Analyst Jobs in Wisconsin (NOW HIRING)

Master Data Analyst

La Crosse, WI · On-site

$66K - $99K/yr

This position is not eligible for sponsorship Data Analyst - Master Data & Enterprise Reporting ... Implement and manage MDM best-record and matching processes to improve data quality. * Assist in ...

Senior Data Analyst

Germantown, WI · On-site

$87K - $110K/yr

... data quality, documentation, and analytical processesQualificationsBachelor 's degree in Data Analytics, Statistics, Economics, Business, or related field (or equivalent experience)5+ years of ...

Sr. Data Analyst

Waukesha, WI · On-site +1

$86K - $108K/yr

Support institutional data governance initiatives, including data quality, integrity, stewardship ... Support analytics and business intelligence platforms such as Power BI, or similar tools. * Assist ...

Sr. Data Analyst

Waukesha, WI · On-site

$86K - $108K/yr

Support institutional data governance initiatives, including data quality, integrity, stewardship ... Support analytics and business intelligence platforms such as Power BI, or similar tools. * Assist ...

Onsite, Monday-Friday (standard business hours) Summary The Senior Quality Analyst/Engineer is ... The position supports Quality System improvement initiatives, data trending, reporting, audits, and ...

Icons of design and paragons of performance and quality, Sub-Zero, Wolf, and Cove are the ... The Data and Analytics Team within the Information Technology department provides enterprise data ...

Showing results 21-40

Data Quality Analyst information

See Wisconsin salary details

$21

$48

$72

How much do data quality analyst jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for data quality analyst in Wisconsin is $48.89, according to ZipRecruiter salary data. Most workers in this role earn between $34.95 and $60.91 per hour, depending on experience, location, and employer.

What are some common challenges data quality analysts face when handling large datasets, and how can they be addressed?

Data Quality Analysts often encounter challenges such as inconsistent data formats, missing values, and duplicate records when working with large datasets. Addressing these issues requires a combination of automated data profiling tools, well-defined data governance procedures, and close collaboration with data engineers and business stakeholders. Regular communication and clear documentation help ensure data standards are maintained and issues are quickly identified and resolved, ultimately supporting more reliable business decision-making.

What are the key skills and qualifications needed to thrive as a data quality analyst, and why are they important?

A Data Quality Analyst requires strong analytical skills, attention to detail, and a background in data management or statistics, often supported by a relevant degree. Familiarity with data profiling tools, SQL, Excel, and data quality management systems, as well as certifications like CDMP, are typically needed. Excellent problem-solving abilities, communication skills, and a proactive mindset help analysts identify and resolve data issues effectively. These competencies ensure organizational data is accurate, reliable, and actionable, which is critical for informed decision-making.

What is the difference between Data Quality Analyst vs Data Analyst?

AspectData Quality AnalystData Analyst
Primary FocusEnsuring data accuracy, completeness, and reliabilityAnalyzing data to identify trends and support decision-making
Skills & CertificationsData quality tools, SQL, data governance certificationsData visualization, statistical analysis, SQL
Work EnvironmentData governance teams, IT departmentsBusiness units, analytics teams
Industry UsageFinance, healthcare, retail, where data integrity is criticalMarketing, finance, operations, for insights and reporting

While both roles work with data, Data Quality Analysts focus on maintaining data integrity and quality standards, whereas Data Analysts interpret data to generate insights. Both roles often collaborate but serve different core functions within organizations.

What is a data quality analyst?

Data Quality Analysts are professionals responsible for ensuring the accuracy, consistency, and reliability of data within an organization. They analyze data sets to identify errors, inconsistencies, or gaps and develop processes for improving data quality. Their work often involves monitoring data flows, creating data quality reports, and collaborating with teams to implement data governance standards. By maintaining high-quality data, they help organizations make informed decisions and meet regulatory requirements.
What are the most commonly searched types of Data Quality Analyst jobs in Wisconsin? The most popular types of Data Quality Analyst jobs in Wisconsin are:
What are popular job titles related to Data Quality Analyst jobs in WI? For Data Quality Analyst jobs in WI, the most frequently searched job titles are:
Infographic showing various Data Quality Analyst job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 4% Contract, and 1% Nights. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $101,683 per year, or $48.9 per hour.

Principal Data Analyst

Continuus Technologies LLC

Germantown, WI • On-site

Full-time

Re-posted yesterday


Job description

Role OverviewThe Principal Data Analyst is a strategic analytics leader and subject-matter expert who shapes how data is used across the organization. This role leads the most complex, high-impact analyses, defines analytical standards, and partners with executive leadership to influence long-term business strategy. The Principal Data Analyst operates with broad autonomy and serves as a mentor and thought leader across the analytics community.Key ResponsibilitiesLead enterprise-level, high-impact analyses that inform strategic decisionsDefine and govern company-wide KPIs, metrics, and analytical frameworksTranslate ambiguous, complex business problems into structured analytical approachesInfluence executive decision-making through clear, compelling data storytellingPartner with senior leadership to shape analytics strategy and prioritiesSet standards for analytical rigor, experimentation, and data interpretationMentor Staff and Senior Analysts and elevate analytical excellence across teamsDrive improvements in data quality, metric consistency, and governanceIdentify emerging trends, risks, and opportunities proactivelyQualificationsBachelor's degree in Data Analytics, Statistics, Economics, Business, or related field (or equivalent experience)10+ years of experience in analytics or data-focused rolesExpert-level SQL and advanced analytical modeling skillsExtensive experience with BI and visualization platforms (Tableau, Power BI, Looker, etc.)Strong statistical reasoning and business acumenProven ability to influence executive stakeholders through insightsPreferred ExperienceAdvanced proficiency in Python or R for analysisExperience designing experimentation or causal analysis frameworksFamiliarity with data engineering and modern data architecturesDomain expertise (e.g., product, finance, HR, operations, growth analytics)Experience shaping analytics strategy without direct people management