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Hospitality Data Analyst Jobs in Indiana (NOW HIRING)

Newfields

Manager of Data Analytics

Indianapolis, IN · On-site

$60K - $70K/yr

Manager, Data & Analytics Department: Technology FLSA Status: Exempt Salary: $60,000 - 70,000 Key ... Nonprofit, cultural institution, hospitality, or attractions-industry experience is a plus ...

Workstream

Development Finance Analyst

Indianapolis, IN · On-site

$75 - $110/hr

We concentrate on multiple core asset classes, including mixed-use, industrial, retail, hospitality ... Experience with CoStar, STR Benchmarking, or similar real estate data platforms. * Familiarity with ...

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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 Indiana?

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

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

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

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

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

Hospitality Data Analyst jobs near you
Infographic showing various Hospitality Data Analyst job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Manager of Data Analytics

Indianapolis Museum of Art/Newfields

Indianapolis, IN

$60K - $70K/hr

Full-time

Posted 29 days ago

Job description

Job Title: Manager, Data & Analytics 

Department: Technology 

FLSA Status: Exempt

Salary: $60,000 - 70,000

Key Responsibilities

  • Serve as the primary steward of data quality and governance across institutional systems, identifying and resolving inconsistent definitions, duplicated metrics, and fragmented data sources.
  • Own the day-to-day relationship with the Dexibit business intelligence platform, ensuring the data feeding it is accurate, well-structured, and trusted by end users.
  • Design and manage a centralized data lake architecture to consolidate institutional data.
  • Partner with department leaders across the institution to understand their reporting and analytics needs, and translate those needs into consistent, reusable dashboards and data structures.
  • Build and maintain institutional KPI reporting, including Board metrics, in partnership with the Chief Operating Officer.
  • Support evaluation and integration of visitor and guest data sources, the guest ticketing/CRM stack.
  • Establish documented data definitions and stewardship practices for top institutional metrics (attendance, membership, revenue, visitation, program participation).
  • Identify opportunities to reduce manual, spreadsheet-based reporting in favor of governed, repeatable analytics processes.
  • Act as a proactive analytics business partner to every department, following the ITBP service model rather than functioning as a reactive request queue.
  • Escalate significant data quality, integration, or system-fragmentation issues to Technology leadership with recommended remediation.

Education & Experience

  • Bachelor's degree in a relevant field (data analytics, information systems, statistics, business, or related discipline), or equivalent professional experience.
  • 3-5+ years of experience in data analysis, business intelligence, or data management, ideally including experience untangling fragmented or inconsistent data environments
  • Experience with BI/visualization platforms (e.g., Dexibit, Tableau, Power BI, Looker) and relational data concepts; direct experience with Dexibit is a plus but not required.
  • Nonprofit, cultural institution, hospitality, or attractions-industry experience is a plus, particularly with visitation, ticketing, or membership data.

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