Analytics Engineer - Martech & Customer Data - London, Oxford UK remote or Lisbon
London
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TripAdvisor
Plan your next trip, read reviews and get travel advice from our community on where to stay and what to do. Find savings on hotels, book the perfect tour or attraction, and reserve a table at the best restaurants.About US..
Viator, a Tripadvisor company, is the biggest marketplace for experiences in the travel industry. We have more than 300,000 bookable products in almost every country on the planet, and are helping millions of traveler’s every month to discover things to do.
We believe that we are better together, and at Viator we welcome you for who you are. Our workplace is for everyone, as is our people powered platform. At Viator, we want you to bring your unique identities, abilities and experiences, so we can collectively revolutionise travel.
Data isn’t just a number at Viator, it’s a product that serves as a key input to nearly every decision we make. We are seeking an Analytics Engineer to serve as an advocate for our data; someone to help the Mar-Tech & Customer Data Team optimize the marketing technology stack and increase the impact of customer data at Viator.
The Mar-Tech and Customer Data Team develops the platform, infrastructure, and tools that make up Viator’s marketing tech stack and customer data platform. Analytics Engineer will be supporting multiple projects with various stakeholders. This role will be partnering closely with our engineering, data engineering, marketing, and analytics teams across a wide range of projects.
What will I be doing
The Analytics Engineer should have the curiosity and drive to move forward data and business intelligence projects of both strategic and tactical importance within a large, fast moving and data driven organization. This role will work with a wide variety of stakeholders to ensure that the data used to drive business decisions is accurate, timely, and accessible
- Executing strategic projects to create opportunities for data driven decision making. For example, identifying areas where existing data may be insufficient then researching and crafting a plan for improvement.
- Making tactical improvements to a complex data infrastructure. For example, overseeing a project to centralize and standardize similar data coming from different sources.
- Forensic data investigation—investigating and diagnosing often complex data interaction issues.
- Effectively and easily communicate business requirements to technical stakeholders and technical requirements to business stakeholders.
- Working with people in a variety of functions across the business to satisfy their data and reporting needs—marketing, analytics, product, and engineering
What experience do I need
- Bachelor's Degree in a technical or business related field (Mathematics, Information Systems, Computer Science, or related Engineering) Master's Degree a plus
- 2+ years in an analytical or business intelligence role (ideal backgrounds include: a similar Analytics Engineering role at a web company, a data-based consulting role, or other data strategy type positions)
- Advanced SQL and data skills for data modeling with large, complex datasets
- Ability to communicate effectively with people across multiple functions
- Excellent problem solving and analytical skills and a desire to work independently to proactively solve a variety of data problems in a fast-paced environment
- Demonstrated strength in data modeling and data warehousing to solve analytics needs across the business
- Confidence in manipulating, processing, and extracting value from large datasets
- Experience in reporting and data visualization with automated self-service reporting tools
- Knowledge of e-commerce and web and native app analytics a plus
- Knowledge of marketing and customer data a plus
Does the idea of transforming Viator’s data and analytics capabilities using the latest tech appeal to you? If so, then we’d love to hear from you!
What's in it for me:
- Competitive salary, bonus and stock for all staff regardless of level.
- Health, dental, life, critical illness and long term disability insurance.
- Lifestyle benefit – this is very cool. Every year you are given an allowance for your life style, this could be for a holiday, gym membership, family support and much more.
- 25 days annual leave plus the days between Christmas and New Year as our offices are closed.
- Summer flexi-time, May to September all employees can request for compressed hours in order to make the most of day light savings and enjoy life. We are an experience company after all!
- Plus many more…
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 greenhouse@tripadvisor.com.
#Viator
#LI-JCV2
#Remote
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Business Intelligence Computer Science Consulting Data strategy Data visualization Data Warehousing E-commerce Engineering Mathematics SQL
Perks/benefits: Competitive pay Fitness / gym Health care Insurance Salary bonus
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