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    Data Analyst - Edinburgh, United Kingdom - Trustpilot, Inc.

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    Description
    We're a leading online reviews platform, free and open to all.

    Trustpilot's growth has been exponential - from a successful IPO to building out new teams, we never stop working hard to fulfil our mission to create better experiences for everyone through our platform.

    But to do that, we need data That's where Analytics comes in - you'll contribute to us measuring, uncovering insights, and predicting, to get data everywhere in Trustpilot.

    As a Data Analyst at Trustpilot, you will collaborate with Trusties in our B2B product squads and spend your time digging through our data to provide them with data-driven insights, as well as analytics and dashboards/reporting.

    You're keen to contribute to the use data to answer their toughest questions, and you can proactively identify areas that need a little data support.

    You'll be an internal data consultant, with loads of amazing data in our data warehouse at your fingertips, working with analytical tools including BigQuery, Looker, Amplitude and DBT.

    For this role, we need your contribution in running analyses, creating user funnels and running A/B tests, to roll out the best possible products and also understand how our customers currently use the platform.

    Delivering analytics and insights to different parts of the business, through both workstream initiatives and ad-hoc inquiries
    Working closely with the B2B product squads to understand their data and their goals to deliver awesome solutions
    Building reports and dashboards in Looker and Amplitude to enable tracking of our product's performance
    Support on ad-hoc analyses and A/B tests to help your squad with complex product decisions
    Presenting and promoting your work to the wider business, to enable data-informed decisions
    A curious, self-motivated individual, enthusiastic about using data to help inform product decisions
    Prior experience with at least one key analysis and statistical methodologies, such as model-based analyses (regression, clustering etc.), cohort analysis or A/B testing
    Prior experience building dashboards and delivering actionable insights leveraging BI tools (such as Looker, Tableau etc.)
    Good SQL skills and preferably some experience with Python or R for data analysis
    A range of flexible working options to dedicate time to what matters to you
    ~ Competitive compensation package + bonus
    ~28 days holiday plus two (paid) volunteering days a year to spend your time giving back to the causes that matter to you and your community
    ~ Rich learning and development opportunities supported through the Trustpilot Academy, LinkedIn Learning and Blinkist
    ~ Pension and life insurance Health cash plan, online GP, 24/7 Employee Assistance Plan
    ~ Paid parental leave
    ~ Season ticket loan and a cycle to work scheme
    ~ Central office location complete with all the snacks and refreshments you can ask for
    ~ Regular opportunities to connect and get to know your fellow Trusties, including company-wide celebrations and events, ERG activities and team socials
    ~ Access to over 4,000 deals and discounts on things like travel, electronics, fashion, fitness, cinema discounts and more.

    We're keen to hear about your experiences as well as how you can help to create a fantastic culture for our amazing Trusties.

    We work across borders and cultures to be a tangible symbol of trust in an ever-changing world.

    With vibrant office locations all around the world and over 50 nationalities, we're proud to be an equal opportunity workplace with diverse perspectives and ideas.

    Trustpilot will consider all applications for employment without regard to race, ethnicity, national origin, religion, gender identity or expression, sexual orientation, neurodiversity, disability, age, parental or veteran status.

    Trustpilot is a global company and our data practices are designed to ensure that your personally identifiable information is appropriately protected.

    Please note that your personal information will be transferred, accessed and stored globally as necessary for the uses and disclosures stated in our Privacy Policy.

    #

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