Data Analyst New Worcester

Hotel financial data is only as valuable as the accuracy behind it — and this role is what makes HotStats' global benchmarking database trustworthy for thousands of hotel contributors worldwide. As Data Analyst, you'll be the quality guardian of complex financial performance metrics: interrogating P&L results, running integrity checks, resolving data queries with client contacts, and contributing to the monthly reporting suite that delivers market intelligence to some of the most important names in hospitality. It’s a role that combines analytical rigour with real client interaction, and sits at the heart of what makes HotStats the global authority on hotel profit benchmarking.

What You'll Be Doing:

• Manage the quality of the benchmarking database by proactively maintaining assigned contributing company data — executing monthly integrity checks using standard quality routines and a consistent programme of spot checks to ensure accuracy across complex financial performance metrics.
• Operate translation tools to process P&L data and accurately integrate it into the core database, investigating data quality issues through consistent audits to ensure alignment with the Uniform System of Accounts for the Lodging Industry.
• Build and sustain professional relationships with data contacts at contributing hotel companies — effectively resolving customer requests and data-related queries with the credibility that comes from genuine financial and operational understanding.
• Contribute to the production of the monthly reporting suite — including PR data, market data, and bespoke reporting for external clients — tracking and quality checking all outputs to the highest standards of accuracy.
• Analyse large datasets through data mining to support specific assignments, research projects, and original research for publications, updating and documenting hotel statuses, alerts, and operational notes within the database to maintain real-time accuracy.
• Work as a key contributor in a visible, fast-paced team environment — collaborating across the data processing and client relations functions that sit at the heart of HotStats' global market intelligence operation.

What We're Looking For:

• Recently graduated in a financial discipline or have 2+ years of experience in data analysis or a relevant field.
• Sound technical knowledge of Excel and a clear understanding of database structures.
• Demonstrated ability to read, understand, and interrogate hotel profit and loss results.
• Working knowledge of accounting principles or relevant hospitality operational experience.
• Excellent written and verbal communication skills for both internal collaboration and client-facing interactions.

Strong candidates may also have:

• Experience in the hospitality technology industry or hotel financial operations.
• Experience working in a fast-paced, data-driven team environment with high accuracy standards.

Why Duetto?

• Work that directly shapes market intelligence. The data you maintain powers benchmarking reports used by hotel groups worldwide — accuracy here has real commercial consequences for real businesses, which makes the work genuinely meaningful.
• A specialist product with global reach. HotStats is the global authority on hotel profit benchmarking — you'll be working at the centre of a product that's trusted by the industry's most sophisticated operators.
• AI is how we work. Duetto is an AI-first organisation — even in data and analytics roles, we're investing in tools and workflows that help the team work faster, catch issues earlier, and deliver higher-quality outputs.
• A visible role in a close-knit team. This is a role where your contributions are seen and your accuracy matters — the kind of environment where strong performers grow quickly.

The Details:

• Location: Office-based, Worcester, United Kingdom
• Department: Data / HotStats
• Reports to: Manager, Data Operations

Duetto is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by applicable law.

If you have strong data analysis skills, a good grounding in financial statements or accounting principles, and the attention to detail to maintain a global benchmarking database to the highest accuracy standards — we'd love to hear from you.