Analyst Performance Benchmarking and Data

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