Data Analyst

at  Tripcom Group

WHO WE ARE

Founded in 1999 and listed on NASDAQ in 2003 and HKEX in 2021, Trip.com Group is a leading global travel service provider comprising of Trip.com, Ctrip, Skyscanner, and Qunar.
Across its platforms, Trip.com Group integrates travel resources from industry partners and helps travellers worldwide pursue the perfect trip with exceptional travel products and services.
We have four contact centres around the globe based in Japan, Korea, UK, and the Philippines, providing 24/7 customer service in 19 different languages.
We have more than 30,000 employees across 30 countries in Asia, Europe, the Americas, and Oceania, striving to expand our global markets and aiming to be the world’s leading and most trusted family of online travel brands that aspire to deliver the perfect trip at the best price for every traveller.

WHO WE ARE LOOKING FOR

We are looking for a details-oriented Data Analyst to join our team in our Edinburgh office. The ideal candidate will have experience, knowledge and passion for the implementation of solid and factual reporting using our data suites and merge this with a tenacity to analyse and suggest solutions to our operational team.
We want someone who is confident in extracting data, providing thorough analysis and slide decks and able to tell the story confidently!
As a data analyst, you will play a vital role in driving operational excellence within the department. Your expertise in deep statistical analysis will be instrumental in identifying and solving problems, offering predictive insights, and providing early warnings. Additionally, you will optimise the customer experience, the foundations of workforce and operational plans.

· Tabulate service operation report, objectively & truthfully present operation results.
· Revise Customer Support Centre desired objectives, establish corresponding data indices and models to monitor
· Maintain and analyse key data sources to provide suggestions and proposals on Customer Support Centre operation and project development
· Propose better solutions on each team’s effective analysis and reports.
· Give leads on automation project to lessen workload of reports and data consolidation from operational managers
· Engage with all managers and data users both in person and online across all departments
· Build trusting and fulfilling relationships with people to ensure trust in the products given from the Data Analyst team