Data Analyst

at  Wild Cosmetics

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?
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.

WHAT WE NEED FROM YOU:

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

• Self-starter with excellent commercial acumen, with a track record of delivering complex cross-team projects
• Strong problem-solving abilities with an affinity for breaking complex and broad problems down in a logical and structured manner
• You have a growth mindset and are naturally intellectually curious - always excited to learn and improve, and willing to run at problems and relish the opportunity to solve them
• Ability to manage multiple tasks and projects simultaneously
• A passion for data analytics, testing and optimisation
• “Get stuff done” mentality, comfortable in chaos and passionate about implementing and improving processes
• Ability to communicate complex problems and analysis simply to a variety of stakeholders (both technical and non-technical) and deliver clear and actionable solutions
• Attention to detail is something you consider a key strength

What you’ll get from us:

• 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

A role at a young but well-established brand making a considerable splash in sustainable self-care.
Ready to become a Wild thing?!
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!

• Build and maintain ELT pipelines, preparing data in digestible formats to support all parts of the business
• Create all data modelling using dbt to transform raw Shopify/Google Sheets data into usable and reliable data tables and dashboards
• Ensure data accuracy, reliability and general data maintenance
• Ad hoc analysis such as product performance, customer segmentation, LTV modelling
• Bug fixing along the whole data pipeline
• Translate business logic into code seamlessly to help capture key metrics