Viator is seeking an Analytics Engineer who will 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.

Responsibilities:

• Build and provide ongoing support of business intelligence reporting in Looker and Tableau
• Assist the wider Analytics Engineering and Data Engineering teams in implementing and enforcing data governance best practices
• Execute 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.
• Make 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.
• Work with people in a variety of functions across the business to satisfy their data and reporting needs-analytics, product, engineering, sales, finance, business development and marking

• 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 Analyst 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
• Advanced data visualization skills and prior experience with Looker, Tableau, or similar tooling
• 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

• Highly competitive salary along with the following
• Annual performance related bonus
• Generous stock (RSU) award upon joining, with additional awards annually
• Regular salary reviews and excellent career growth opportunities
• Very flexible working hours
• 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
• £1050 annual stipend for costs outside the office such as gym membership or home office set up
• Summer Fridays scheme allowing extra days off during the summer