Senior Fraud Data Analyst - Oxford, Hybrid

Senior Fraud Data Analyst

We believe that we are better together, and at Tripadvisor we welcome you for who you are. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionise travel and together find the good out there.

Tripadvisor is the world’s largest online travel site, visited by 463 million travellers each month.  We’re seeking a Senior Fraud Data Analyst to join our dynamic and fast paced On line Fraud team on our Viator brand, home to over 300K bookable experiences worldwide.

The On-line Fraud team protect the business from fraudulent activity - ensuring financial losses are at a minimum and keeping the platform safe for both our travellers and suppliers.

The team is split into three areas; Fraud Operations, Chargeback Operations, and Fraud Systems & Analytics. This role sits within the Fraud Systems & Analytics team although you’ll be working closely with the wider team as well as other business areas.

What you’ll do:

You will have access to the newest development tools and huge data sets covering everything from fraud system transactional data to page click data.

Be comfortable working on a wide variety of requests across 3 main areas;

• ​Reporting on operational team metrics and performance
• Analysing data in order to understand root causes of fraud issues, articulate the losses, and help provide justification for systematic fixes in collaboration with the rest of the team
• Work in an ultra-fast paced environment by providing analytical support with the immediate response to fraud incidents as they occur.
• Be creative and efficient in the modelling approach using rich and large datasets
• Employ/automate reporting tools to measure and alert of changes in key metrics
• Assist with ad hoc queries and provide analytical support to our fast-growing business as it evolves.
• Proactively seek out opportunities hidden in our or industry data. Articulate your findings into suggested actions for operations, our product and/or other teams.

What skills you’ll need:

• Experience : 2+ years' experience in an analytical role (ideal backgrounds include: a similar Data Analyst role at an online retailer ideally with experience working with fraud or chargebacks data)
• Education: 

• Bachelor's Degree in an analytical field (maths, economics, engineering, statistics, etc.), Master’s Degree a plus.
• Or professional experience demonstrating an equal level of ability 
• Proactive not reactive, with ability to work independently in a fast-paced environment
• Self-starter - with the ability to take a loosely defined issue, ask the right questions, explore / investigate data and then turn it into a story / provide context.
• Strong analytical, conceptual and problem solving skills with the ability to work under pressure and to tight deadlines.
• Unwavering attention to detail.
• You live in cloud-based SQL platforms, Excel, Tableau and a few other useful tools of the data trade.
• A start-up mentality, roll your sleeves up and get things done.
• Confident with learning new tools, technologies, and methodologies

Tool knowledge

• You should be comfortable using SQL to analyse data from extremely large data sets 

• Joining together different sources of information
• Deduplicating and standardising data to ensure accurate analysis
• Using subqueries to build calculations upon calculations
• Creating tables, views and uploading data from other sources on an ad-hoc basis
• Navigating around performance issues by paying close attention to table partitioning etc

• You should be able to read code written by others and be able to provide feedback for making the query quality better (know best practices).

What’s in it for me?

Highly competitive salary along with the following

• Annual performance related bonus
• Generous stock award upon joining, with additional awards annually
• Flexible working hours & hybrid working, with a minimum of 3 day per week in the Oxford office
• Free meals in the office
• Full family private healthcare and dental
• Excellent contributory pension
• Critical illness and full life cover
• Standard 28 days paid holiday (not including bank holidays), increasing with tenure
• Lifestyle benefit, £1050 to use on what you like, for example: gym membership, home office set up or holidays.

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We believe that we are better together, and at Tripadvisor we welcome you for who you are. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there.

We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at recruitment@tripadvisor.com.