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Data Quality Jobs in Minnesota (NOW HIRING)

BBQ Holdings

Data Quality Analyst

Minnetonka, MN

The Data Quality Analyst will be responsible for monitoring, measuring, and improving data quality across enterprise data domains including sales, finance, franchise operations, supply chain, loyalty ...

BBQ Holdings

Data Quality Analyst

Minnetonka, MN · On-site

The Data Quality Analyst will be responsible for monitoring, measuring, and improving data quality across enterprise data domains including sales, finance, franchise operations, supply chain, loyalty ...

Droisys

Sr. Data Quality Analyst

Minneapolis, MN · On-site

Position : Sr. Data Quality Analyst Location : Minneapolis MN Duration : 6+ months Interview format, phone screen followed by F2F Skype is possible Rate As per the market The candidate should have ...

Motorola

Motorola Solutions (MSI) is seeking a Quality and Data Analytics Program Officer to support the Global Navy and Air Force Sustainment Programs. This critical role ensures the delivery of high-quality ...

RELX

AI Data Analyst

Minneapolis, MN · On-site

Are you passionate about improving data quality and readiness to unlock the full potential of AI solutions? Do you enjoy collaborating across teams to ensure data is structured, governed, and usable ...

Virtusa

Quality Assurance Lead

Minneapolis, MN

Quality Assurance Lead Workstream Operational Excellence & Offshore Delivery Role Purpose Owner of the testing and validation of data products, ensuring that the data is accurate, reliable, and fit ...

Virtusa

Quality Assurance Lead

Minneapolis, MN · On-site

Quality Assurance Lead Workstream Operational Excellence & Offshore Delivery Role Purpose Owner of the testing and validation of data products, ensuring that the data is accurate, reliable, and fit ...

Dlapiper

Data Engineer

Minneapolis, MN

$119K - $143K/yr

Data Quality, Reliability & Operations * Identify, troubleshoot, and resolve data issues including data quality, integrity, latency, and security concerns; apply monitoring and operational best ...

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How much do data quality jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for data quality in Minnesota is $40.58, according to ZipRecruiter salary data. Most workers in this role earn between $27.31 and $53.22 per hour, depending on experience, location, and employer.

Is data quality a good career?

Data quality is a valuable career path involving ensuring the accuracy, consistency, and reliability of data within organizations. Professionals in this field often work with data management tools, perform audits, and may pursue certifications like Certified Data Management Professional (CDMP). It offers opportunities across industries such as finance, healthcare, and technology with steady demand for skilled data quality specialists.

Is 40 too late for data science?

Data science is a field open to professionals of all ages, and starting at 40 is not too late. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience. Many individuals transition into data science later in their careers and find opportunities based on their expertise and continuous learning.

What is the highest paying data job?

The highest paying data jobs often include Data Science Director, Chief Data Officer, or Data Engineering Manager roles, which can earn six-figure salaries or higher depending on experience, industry, and location. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with relevant certifications or degrees.

What are the key skills and qualifications needed to thrive in the Data Quality position, and why are they important?

To thrive in a Data Quality role, you need expertise in data analysis, attention to detail, knowledge of data governance, and often a bachelor's degree in a related field such as computer science or information systems. Familiarity with tools like SQL, data profiling software, and data quality management platforms, as well as certifications like CDMP (Certified Data Management Professional), is highly valued. Strong problem-solving abilities, effective communication, and a collaborative mindset help professionals excel in this position. These skills are crucial for ensuring accurate, reliable data that supports business decision-making and overall organizational efficiency.

What is a Data Quality job?

A Data Quality job involves ensuring that data is accurate, consistent, and reliable for business use. Professionals in this role develop and enforce data quality standards, identify and resolve data discrepancies, and implement processes for data validation and cleansing. They often work with databases, data governance frameworks, and analytics teams to maintain high-quality data. This role is essential for organizations relying on data-driven decisions, as poor data quality can lead to incorrect insights and inefficiencies.

What are the typical challenges faced by someone working in a Data Quality role?

Professionals in Data Quality roles often encounter challenges such as identifying inconsistent data sources, addressing missing or inaccurate data, and maintaining data standards as systems and business requirements evolve. Working closely with IT, data analysts, and business stakeholders, Data Quality specialists must resolve data discrepancies while balancing the need for accuracy with project deadlines. These challenges require excellent analytical and troubleshooting skills, as well as the ability to communicate data issues clearly across teams. Overcoming these hurdles is key to ensuring data-driven decisions are based on trustworthy information.

What is a data quality job?

A data quality job involves ensuring the accuracy, completeness, consistency, and reliability of data within an organization. Professionals in this role often use tools like data profiling and validation software, and may hold certifications such as Certified Data Management Professional (CDMP). The work typically requires attention to detail and understanding of data governance standards.
What are the most commonly searched types of Data Quality jobs in Minnesota? The most popular types of Data Quality jobs in Minnesota are:
What are popular job titles related to Data Quality jobs in Minnesota? For Data Quality jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Data Quality jobs in Minnesota look for? The top searched job categories for Data Quality jobs in Minnesota are:
Data Quality jobs near you
Infographic showing various Data Quality job openings in Minnesota as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $84,413 per year, or $40.6 per hour.

Data Quality Analyst

BBQ Holdings

Minnetonka, MN

Full-time

Posted 6 days ago

Job description

POSITION SUMMARY:

The Data Quality Analyst will be responsible for monitoring, measuring, and improving data quality across enterprise data domains including sales, finance, franchise operations, supply chain, loyalty, and customer data. This role is ideal for someone who enjoys combining technical data expertise with business problem-solving and wants to help build a scalable, trusted data foundation in a fast-paced, multi-brand restaurant organization. This role will work closely with Data Engineering, Data Products, Business Intelligence, Data Governance, and business stakeholders to establish data quality standards, identify issues, implement controls, and drive continuous improvement.
The ideal candidate has hands-on experience with Databricks, SQL, data quality frameworks, and large-scale data environments, along with strong problem-solving and stakeholder management skills.
PRIMARY ACCOUNTABILITIES:

Data Quality Management
o Define, implement, and maintain enterprise data quality rules and controls.
o Monitor data quality metrics including completeness, accuracy, consistency, timeliness, uniqueness, and validity.
o Investigate and resolve data anomalies, discrepancies, and root causes.
o Develop data quality scorecards and dashboards for business and technical stakeholders.
o Establish data quality SLAs and KPIs across critical business datasets.
 Databricks Platform Responsibilities
o Design and implement automated data quality checks within the Databricks environment.
o Build and maintain data validation processes using Databricks SQL, PySpark, and Delta Lake.
o Monitor data pipelines and data products for quality issues.
o Partner with Data Engineers to embed quality controls throughout ingestion, transformation, and reporting processes.
o Leverage Databricks workflows and monitoring capabilities to proactively identify data issues.
Data Governance & Stewardship
o Collaborate with data owners and business teams to define data standards and business rules.
o Support master data management initiatives.
o Document data definitions, lineage, quality rules, and issue resolution processes.
o Participate in governance committees and data stewardship activities.
o Ensure compliance with data governance policies and regulatory requirements.
 Analysis & Reporting
o Conduct data profiling and quality assessments on new and existing datasets.
o Perform root cause analysis and recommend corrective actions.
o Create executive-level reporting on data quality trends and improvement initiatives.
o Support audits and data validation efforts related to financial and operational reporting.

Cross-Functional Collaboration
o Work closely with:
Data Engineering
Data Products
Analytics & BI
Finance/Accounting
Operations
Supply Chain
Marketing & Loyalty
o Translate business requirements into measurable data quality controls.

 Key Performance Indicators (KPIs)
o Reduction in critical data quality incidents.
o Improvement in enterprise data quality scores.
o Percentage of automated data quality controls implemented.
o Mean time to detect and resolve data issues.
o Compliance with data governance standards.
o Stakeholder satisfaction with data reliability and trust.

KNOWLEDGE, SKILLS, & ABILITIES:
Required Qualifications
3+ years of experience in Data Quality, Data Analytics, Data Governance, or related roles.
 Data Management certification (CDMP preferred)
Strong SQL skills with experience querying large datasets.
 Experience working with cloud-based data platforms (Azure, AWS, or GCP).
Knowledge of ETL/ELT processes and modern data architectures.
 Experience performing data profiling, validation, and reconciliation activities.
Strong analytical and troubleshooting skills.
 Excellent communication and stakeholder management abilities.
Required technical skills:
 SQL
Delta Lake
 Data Profiling
Data Validation
 Root Cause Analysis
Data Governance
Preferred Qualifications
 Experience in restaurant, retail, franchising, hospitality, or multi-location operations.
Experience with:
o PySpark
o Python
o Databricks Workflows
o Unity Catalog
o Delta Live Tables
o Data Observability tools
 Familiarity with data governance frameworks and stewardship practices.
Knowledge of Master Data Management (MDM) concepts.
 Experience implementing automated data quality frameworks.
Preferred technical skills:
 Databricks SQL
Databricks Lakehouse Platform
 Python
PySpark
 Azure Data Factory
Apache Spark
 Unity Catalog
Delta Live Tables
 Power BI
Git
 CI/CD pipelines
BBQ Holdings logo

About BBQ Holdings

Sourced by ZipRecruiter

BBQ Holdings is a reputable company primarily operating in the food industry, headquartered in Hopkins, MN, US. The company is committed to providing mouth-watering barbecue offerings that enchant every taste bud. BBQ Holdings focuses majorly on owning, operating, and franchising barbecue restaurants in the US under several brands. The company was initially founded under the name Famous Dave's, a beloved barbeque restaurant, and later broadened its portfolio to include more brands, thus adopting the name BBQ Holdings to reflect its diversity. Every restaurant under BBQ Holdings has a mission to provide guests with genuine, hickory-smoked, and off-the-grill barbecue favorites served in a warm and friendly atmosphere.

Industry

Restaurants

Company size

1,001 - 5,000 Employees

Headquarters location

Minnetonka, MN, US

Year founded

2019

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