Data Services Analyst
CloudbedsWhat Makes Us Unique
At Cloudbeds, we're not just building software, we’re transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers' biggest challenges. Since our founding in 2012, we've become the World's Best Hotel PMS Solutions Provider and landed on Deloitte's Technology Fast 500 again in 2024 but we're just getting started.
How You'll Make an Impact:
We are seeking a dynamic Data Import & Reporting Analyst to join our customer success team. This role bridges the gap between data services and business intelligence.
Your mission is two-fold: first, you will orchestrate smooth data migrations, helping new clients transition their historical data (reservations, guest profiles, inventory) from legacy systems to Cloudbeds. Second, you will act as a reporting strategist, coaching clients on how to leverage Cloudbeds’ reporting features to extract meaningful insights, track KPIs, and drive data-backed business decisions from day one.
Our Data Services Team:
We are a collaborative, remote-first team energised by solving complex data puzzles and transforming technical transitions into seamless, empowering experiences for hoteliers worldwide. We thrive on cross-functional teamwork, blending analytical precision with a passion for client education so that no property is left in the dark. If you love deep-diving into spreadsheets just as much as celebrating a client’s "aha!" moment when their data reporting clicks, these are your people.
What You Bring to the Team:
- Lead Data Migrations: Act as the primary technical advisor guiding new clients through the smooth transition of historical data (reservations, guest profiles, inventory) into Cloudbeds.
- Execute Data Manipulation: Extract, clean, map, and validate client data from CSV/Excel formats to ensure flawless system uploads.
- Drive Technical Troubleshooting: Proactively identify and resolve formatting discrepancies or system mismatches before clients go live.
- Empower Clients Through Coaching: Train properties on how to build, customize, and automate operational and financial reports within the Cloudbeds platform.
- Ensure Data Integrity: Guide clients through post-migration audits to validate accuracy across financial histories and occupancy metrics.
- Advise on Best Practices: Consult with property managers on key performance indicators (KPIs) to help optimize their daily operations from day one.
Opens the company's application page
Listed via
Jobicy
jobicy.com
Similar roles
Data Analyst
Harnham - Data & Analytics Recruitment
Senior Data Analyst
Harnham - Data & Analytics Recruitment
Service Charge Data Analyst
Robertson Bell
Data Analyst
R3vamp Limited
Design & Tech
Related reads from TCHNX
Why AI Design Tools Are Quietly Replacing Junior Designers and What Actually Comes Next
AI tools promise efficiency, but London studios are discovering an unexpected paradox: automation creates new bottlenecks requiring precisely the expertise being eliminated. We investigate what's actually happening to entry-level design work.
The Inference Economy: Why AI’s Biggest Cost Shift Is Happening After Training
A major shift in AI economics is reshaping the industry. As training frontier models becomes more expensive and inference becomes dramatically cheaper, companies are being forced to rethink how they build, deploy, price, and monetise intelligent systems.
The Emergence of Small Language Models: Why Efficiency Is Overtaking Scale
As the AI industry confronts computational costs and environmental concerns, a new generation of compact models is proving that bigger isn't always better. Small language models are reshaping enterprise AI deployment.