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Internship Data Quality Analyst Jobs in Minnesota

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 ...

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 ...

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 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 ...

Conduct data profiling, validation, reconciliation, and quality assurance activities to ensure accuracy and consistency. * Translate complex business objectives into clear reporting, analytics, and ...

... data quality standards, and ongoing monitoring to ensure accurate and reliable analytics and reporting. Summary Perform data integration to and maintenance of applicable databases and supporting ...

The role involves managing data quality, analyzing case files, and providing recommendations to improve data entry processes. Responsibilities : • Demonstrated organizational skills and strong ...

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Internship Data Quality Analyst information

What does an internship data quality analyst do?

An Internship Data Quality Analyst assists in ensuring the accuracy, integrity, and consistency of data within an organization. They help identify data errors, perform quality checks, and work with teams to resolve issues related to data quality. Interns in this role may use data analysis tools, maintain documentation, and support senior analysts in improving data management processes. This position is ideal for students or recent graduates looking to gain hands-on experience in data analytics and quality assurance.

What are the key skills and qualifications needed to thrive as an internship data quality analyst?

To thrive as an Internship Data Quality Analyst, you need a solid understanding of data management principles, attention to detail, and academic coursework in statistics, computer science, or a related field. Familiarity with data analysis tools like Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically expected. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns excel in identifying and addressing data issues. These skills ensure data integrity, support business decision-making, and contribute to successful project outcomes.

What are some common challenges faced by internship data quality analysts, and how can they overcome them?

Internship Data Quality Analysts often encounter challenges such as identifying inconsistencies in large datasets, understanding complex data structures, and communicating data issues to different stakeholders. To overcome these, interns should develop strong attention to detail, familiarize themselves with data management tools, and proactively seek guidance from senior analysts. Effective documentation and clear communication are also essential for flagging and resolving data quality issues within a collaborative team environment.

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

AspectInternship Data Quality AnalystData Analyst
CredentialsTypically pursuing or recent graduate with coursework in data management or related fieldsBachelor's degree in data science, statistics, or related field; often requires some experience
Work EnvironmentInternship setting, often part-time or temporary, in corporate or tech companiesFull-time role in various industries, including finance, healthcare, and tech
Employer UsageUsed by companies to train and evaluate potential future employees or for short-term projectsPermanent position focused on analyzing and interpreting data to support business decisions

The Internship Data Quality Analyst role is typically an entry-level, temporary position aimed at gaining experience in data quality processes. In contrast, a Data Analyst is a full-time professional responsible for analyzing data to inform business strategies. While both roles require knowledge of data management, the internship focuses on learning and support, whereas the Data Analyst role involves independent analysis and decision-making.

What are the most commonly searched types of Data Quality Analyst jobs in Minnesota?

The most popular types of Data Quality Analyst jobs in Minnesota are:

Full-time

Re-posted 9 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