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About Us:
Hi there 👋 We’re Wild. We’re on a mission to remove single-use plastic from the bathroom, armed with our refillable, natural and scent-sational deodorants, body wash, haircare and lip balm – and we’ve only just started. We launched in 2020 and as a high-growth company, we’re already one of Europe’s fastest-growing start-ups 🚀 So, fancy coming along for the ride?😃
The Role:
We’re looking for an
E-commerce Data Analyst to join our centralised data team, with a dedicated focus on supporting our marketing functions. The ideal candidate will have
1 -2 years of experience in an e-commerce company. This role will act as the key analytical partner to our two marketing teams, performance marketing and Influencer marketing. The role will facilitate the reporting of metrics such as spend, CAC and LTV for these stakeholders.
Key responsibilities include using dbt to build our data into accurate and dynamic models, working with marketing teams to define and achieve requirements and building reporting dashboards for stakeholders. You will report to the Data Lead and work closely with the Head of Growth and Head of Performance Marketing.
This is a junior role; please do not apply if you have more than 3 years of experience.
🚀 Some of your responsibilities:
- Create marketing attribution models (in dbt) and reports (in ThoughtSpot) with a special focus on LTV and customer retention
- Setting up website analytics reporting using sources such as GA and Tag Manager
- Ad hoc analysis including product performance, customer segmentation, LTV
- modelling, A/B testing reporting
- Translate business logic into code seamlessly to help capture key metrics
🚀 What we need from you:
Required Experience
- 1 - 2 years in data analytics in an e-commerce business
- Strong SQL Skills (complex joins, CTEs, window functions)
- Modern Data Stack experience - particularly dbt
- Use of data visualisation tools, ThoughtSpot (beneficial)
- Familiarity with marketing platforms like GA4, Google Ads, Meta, Klaviyo,etc.
- Web Analytics experience
- Solid understanding of e-commerce metrics and attribution models
- Data warehouse exposure - Snowflake, BigQuery etc.
- Excel, Google Sheets
Beneficial Experience
- Familiarity with Shopify or other e-commerce platform
- Fivetran, data engineering etc.
- GitHub Experience
- 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
Our Tech Stack: Fivetran, Snowflake, dbt Cloud and ThougtSpot
⚡️
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
- 4% Company Pension
- Mental well-being 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
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!
