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Hospitality Data Analyst Jobs in Minnesota (NOW HIRING)

SQL Delta Lake Data Profiling Data Validation Root Cause Analysis Data Governance Preferred Qualifications Experience in restaurant, retail, franchising, hospitality, or multi-location operations.

The Data Quality Analyst will be responsible for monitoring, measuring, and improving data quality ... Experience in restaurant, retail, franchising, hospitality, or multi-location operations.

Responsible for maintaining a high degree of hospitality, as well as a positive and professional ... Analyze data to identify trends for use in budgets and forecasts. * Responsible for user support on ...

Financial Analyst

Shakopee, MN · On-site

$28.96 - $40.54/hr

Responsible for maintaining a high degree of hospitality, as well as a positive and professional ... Analyze data to identify trends for use in budgets and forecasts. * Responsible for user support on ...

Data Architect

Brooklyn Center, MN · On-site

$65.75 - $84.75/hr

Ensure enterprise data is accurate, reliable, and readily available to support analytics and ... Experience supporting restaurant (QSR), retail, hospitality, or multi-unit operating environments.

Data Architect

Brooklyn Center, MN · On-site

$91 - $151/hr

Ensure enterprise data is accurate, reliable, and readily available to support analytics and ... Experience supporting restaurant (QSR), retail, hospitality, or multi-unit operating environments.

Sr. Analyst, Client Services

Minneapolis, MN · On-site

$91K - $121K/yr

At Ovative, we don't just track data, we redefine success. How do we do it? Our proprietary MarTech ... hospitality. TheOvative Group Sr. Account Analyst, Client Services positionoffers the right ...

Financial Analyst

Saint Paul, MN · On-site

$70K - $85K/yr

This role uses existing company systems, business intelligence reporting, and financial data to ... Experience with multifamily, commercial, mixed-use, hospitality, retail, or development ...

New

About Phaedon Phaedon is a leading loyalty partner for organizations across travel, hospitality ... Through innovative technology, strategic expertise, and advanced analytics, Phaedon delivers end-to ...

Senior Data Scientist

Minneapolis, MN · On-site

$105 - $155/hr

About Phaedon Phaedon is a leading loyalty partner for organizations across travel, hospitality ... Through innovative technology, strategic expertise, and advanced analytics, Phaedon delivers end-to ...

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Hospitality Data Analyst information

What does a hospitality data analyst do?

A Hospitality Data Analyst collects, processes, and interprets data to help hotels, restaurants, and other hospitality businesses make informed decisions. They analyze trends in bookings, guest satisfaction, revenue, and operational efficiency to identify opportunities for improvement. Using tools like Excel, SQL, and data visualization software, they turn raw data into actionable insights that can enhance guest experiences and boost profitability. Their work supports management in strategic planning and helps drive business growth.

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

To thrive as a Hospitality Data Analyst, you need strong analytical skills, proficiency in data interpretation, and typically a degree in statistics, mathematics, or a related field. Familiarity with data analytics tools such as Excel, SQL, Tableau, and property management systems is commonly required. Excellent communication, problem-solving skills, and an ability to work collaboratively with cross-functional teams help set top performers apart. These skills are essential for transforming complex data into actionable insights that drive strategic decision-making and improve guest experiences in the hospitality sector.

What are some typical challenges faced by hospitality data analysts when integrating data from multiple sources?

Hospitality Data Analysts often work with data from various systems such as property management, point-of-sale, and customer feedback platforms. Integrating these datasets can be challenging due to differences in data formats, inconsistencies in reporting standards, and incomplete or duplicate records. Analysts must develop strong data cleaning and transformation skills and collaborate closely with IT and operations teams to ensure data accuracy and usability. Overcoming these challenges is essential for generating reliable insights that drive business decisions in the hospitality sector.

What is the difference between Hospitality Data Analyst vs Hotel Revenue Analyst?

AspectHospitality Data AnalystHotel Revenue Analyst
Required CredentialsBachelor's in Data Science, Hospitality, or related field; proficiency in data analysis toolsBachelor's in Finance, Economics, or Hospitality; strong analytical skills
Work EnvironmentHotels, resorts, hospitality companies, data-focused teamsHotels, resorts, revenue management departments
Employer & Industry UsageUsed across hospitality sectors for data insightsPrimarily in hotel industry for revenue optimization
Common Search & ComparisonYesYes

The Hospitality Data Analyst focuses on analyzing various data sources to improve overall hospitality operations, while the Hotel Revenue Analyst specializes in maximizing hotel revenue through pricing and inventory strategies. Both roles require strong analytical skills and familiarity with hospitality industry data, but their core objectives differ—one emphasizes broad data insights, the other revenue optimization.

What are popular job titles related to Hospitality Data Analyst jobs in Minnesota?

For Hospitality Data Analyst jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Hospitality Data Analyst jobs in Minnesota look for?

The top searched job categories for Hospitality Data Analyst jobs in Minnesota are:

What cities in Minnesota are hiring for Hospitality Data Analyst jobs?

Cities in Minnesota with the most Hospitality Data Analyst job openings:

Infographic showing various Hospitality Data Analyst job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Full-time

Re-posted 21 hours 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