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Analyst Performance Benchmarking and Data
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingProcess and check weekly industry inbound data from STR
Transmit and check inbound and outbound pipeline and rooms data with vendors
Research disparities between databases and synchronize file information
Design structured data models to support consistent market insights
Answer hotel and corporate queries on RGI, comp sets and benchmarking data
From the employer’s posting
Weekly industry inbound data from STR processed and checked
Inbound/outbound pipeline and rooms data to vendors transmitted and checked
Research disparities in database information and synchronize database file information to ensure all databases are accurate
Understanding and designing structured data models (schema) to enable consistent and reliable data which can provide market insights
Understanding RGI, comp set composition and target vs actual and providing guidance accordingly
What you’ll bring
All qualificationsCore experience
- At least 3 years of experience with finance data systems
- Bachelor's degree or equivalent
- Experience structuring big data and processing large datasets
- Experience with dashboards and query tools such as Tableau or Kyvos
Preferred experience
- Hotel industry experience
Qualification wording
3+ years experience with Finance data systems
Bachelors degree or equivalent
Understanding and experience of structuring big data and machine learning tools to process large datasets
Understanding and experience of dashboards and querying tools (e.g. Tableau/Kyvos) for data access
Hotel industry experience preferred
Education & alternatives
Required Education, Experience, Technical Skills and Knowledge Education • Bachelors degree or equivalent Experience • 3+ years experience with Finance data systems Technical Skills and Knowledge • Understanding and experience of structuring big data and machine learning tools to process large datasets • Understanding and experience of dashboards and querying tools (e.g. Tableau/Kyvos) for data access • Hotel industry experience preferred Decision Rights Owns • Lodging Econometrics Data transmission process • Outbound & Inbound vendor data transmission
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 17, 202618 days ago
- Recorded sightings
- 98
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
IHG Hotels & Resorts is hiring
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Analyst hiring is steady
- Takes jobs down at a usual pace
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Where the posting names them
Required Education, Experience, Technical Skills and Knowledge Education • Bachelors degree or equivalent Experience • 3+ years experience with Finance data systems Technical Skills and Knowledge • Understanding and experience of structuring big data and machine learning tools to process large datasets • Understanding and experience of dashboards and querying tools (e.g. Tableau/Kyvos) for data access • Hotel industry experience preferred Decision Rights Owns • Lodging Econometrics Data transmission process • Outbound & Inbound vendor data transmission
Your next step
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About the role
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Job description
As Performance Benchmarking Analyst, you will play an important role in ensuring that IHG has accurate, reliable and accessible data to understand hotel and market performance. You will support the Director, Performance Benchmarking in managing relationships with external data providers and will coordinate the regular exchange, validation and reconciliation of data with these partners.
You will process and check industry benchmarking, pipeline and rooms data, investigate differences between data sources and help maintain consistency across IHG’s databases. Drawing on your understanding of data structures and analytical tools, you will also help design reliable data models that make information easier for colleagues to access, interpret and use.
A key part of the role will be supporting hotel and corporate teams with benchmarking data and digital products. This will include responding to queries, providing guidance on areas such as RGI and competitive-set composition, developing documentation and best practice, and helping colleagues use data with confidence. You will work with teams across Technology, Commercial, Operations, Revenue Management, Finance, Development and Competitor Intelligence.
This is also an opportunity to help shape the future of IHG’s performance benchmarking processes. You will contribute to the review of external data products and help modernise existing ways of working by applying automation and AI.
The successful candidate will bring at least three years’ experience working with finance data systems, an understanding of structuring and processing large datasets, and be confident in dashboarding and using data-query tools. Previous hotel-industry experience is not critical but would be an advantage.
Key Accountabilities:
• Weekly industry inbound data from STR processed and checked
• Inbound/outbound pipeline and rooms data to vendors transmitted and checked, including any manual adjustments (LE, STR, Howarth)
• Understanding industry data and making this available to corporate colleagues
• Understanding and designing structured data models (schema) to enable consistent and reliable data which can provide market insights
• Research disparities in database information and synchronize database file information to ensure all databases are accurateOffering GCP internal support, documentation, and best practices to help colleagues effectively use data
• Understanding RGI, comp set composition and target vs actual and providing guidance accordingly
• Support hotels and corporate colleagues with STR digital products
• Support relationships with LE, CBRE, STR, Hotstats, Howarth, etc.
Key Metrics:
• Outbound and inbound data shared with relevant vendors is complete, free of errors and according to agreed timelines
• Hotel and colleagues’ queries addressed on a timely basis and followed up as required
• Assist in interpreting performance data, researching data sources and/or data integrity, or providing general performance program information
Key Collaborative Network
Key Shared Accountabilities
• Review Lodging Econometrics product and compare to STR to assess optimum product for IHG
• Review and modernise processes and ways of working using AI and automation tools
Key Interfaces
Key External Relationships:
• STR/CoStar
• Lodging Econometrics
• CBRE
• Hotel owners and operators
Key Internal Relationships:
• Global Technology
• Commercial teams
• Regional operations teams
• Regional revenue management teams
• Competitor Intelligence
• Finance data solutions
• Finance technology
• Finance business partners
• Franchise Support Teams
• Development Teams
• GIAD Reporting Team
Required Education, Experience, Technical Skills and Knowledge
Education
• Bachelors degree or equivalent
Experience
• 3+ years experience with Finance data systems
Technical Skills and Knowledge
• Understanding and experience of structuring big data and machine learning tools to process large datasets
• Understanding and experience of dashboards and querying tools (e.g. Tableau/Kyvos) for data access
• Hotel industry experience preferred
Decision Rights
Owns
• Lodging Econometrics Data transmission process
• Outbound & Inbound vendor data transmission
Influences
• Vendor rationalization decisions
• Data query and dashboarding system selection
• Data structure design
Source details
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- Pay
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- Location & working pattern
Mexico
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- Work authorization
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