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Data Analyst

Wild Cosmetics Ltd

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Posted over 30 days ago...

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Join Wild, one of Europe's fastest-growing startups, on a mission to revolutionize personal care with sustainability at its heart

Overview

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No salary declared 😔

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Wild HQ, Hybrid Remote

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Organisation Summary: Wild is an innovative, venture-backed startup dedicated to eliminating single-use plastic in the bathroom. Since launching our refillable deodorant in 2020, we've become one of Europe's fastest-growing companies. Join us in shaping the future of personal care and make a positive impact on the planet.

  • Modelling and optimizing data for Wild’s internal data platform using dbt.
  • Collaborating with the Senior BI Manager and Finance Director to transform data into actionable business insights and reports.
  • Contributing to data ingestion and visualization processes.
  • 2-3 years of data analytics experience, preferably in an e-commerce environment.
  • Proficient in SQL and experienced with the Modern Data Stack, especially dbt.
  • Skilled in data visualization tools like Tableau or Power BI and familiar with data warehouses like Snowflake or BigQuery.
  • Knowledge of GitHub, web analytics, and business analytics is advantageous.
  • Strong verbal and written communication skills with effective stakeholder management.

About Us: Hey there, we’re Wild. We’re on a mission to remove single-use plastic from the bathroom and redefine the future of personal care across Europe and beyond. We’re a high-growth, venture-backed start-up, launching our refillable deodorant on WeAreWild.com in 2020 - we’re also one of Europe’s fastest growing start-ups. Sounds fun, right?

The role: We’re now looking for a Data Analyst to join our data team. The role is responsible for the modelling of Wild’s data and helping to construct Wild's data platform internally for the first time. Key responsibilities include using dbt to shape our data into accurate and dynamic models that can be used to drive business insights and reporting. They also will assist in the data digestion all the way through to the visualisation. You will report into the Senior BI Manager and work closely with the Finance Director.

Job requirements: Required Experience 2 - 3 years in data analytics, preferably in an e-commerce business. Strong SQL Skills (complex joins, CTEs, window functions). Modern Data Stack experience - particularly dbt - essential. Use of data visualisation such as Tableau (will accept Power BI), ThoughtSpot (beneficial). Data warehouse - Snowflake, BigQuery etc. Excel, Google Sheets. Beneficial Experience Analytics Engineering experience would be very beneficial. Fivetran, data engineering etc. GitHub Experience Web Analytics Business Analytics Effective verbal and written communication skills, demonstrating confidence and clarity in conveying information. Stakeholder Management Traits.

Benefits: 25 days holidays + bank holidays + 9 extra remote working days. Hybrid working, 3 days a week in our shiny new London office. 3% Company Pension. Mental wellbeing support through Spill. Private healthcare through Vitality. Weekly early finishes and social events. Annual L&D budget. Free breakfast. Free & discounted Wild products. 2 x team volunteering days and 2 x personal volunteering days.

Applications details: At Wild, we know that diversity drives innovation and creativity. We are committed to creating and maintaining a workplace where all employees feel valued and empowered to bring their most authentic selves to work. We recognise that diversity goes beyond visible differences such as race, gender, age, and ethnicity, and encompasses a broad spectrum of backgrounds, experiences, perspectives, and abilities. We encourage individuals from all backgrounds to apply!

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