E-commerce Data Analyst
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 with both technical and stakeholder management skills. 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.
This role ensures efficient operations and drives influencer performance through process optimisation (including onboarding new tools), cross-functional collaboration, trend analysis, and a data-driven approach to achieve business growth objectives.
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:
Lead comprehensive reporting on campaign performance and provide regular analysis on content effectiveness and conversion to provide actionable insights
Build and maintain these reports in our visualisation tool, ThoughtSpot
Model new marketing data sources in dbt (using SQL) in order to facilitate the above
Working with the performance marketing team to integrate our new attribution tool into our current reporting system
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 and order attribution modelling
Streamline influencer processes and optimise tech/tool stack to optimise team resources
Work cross-collaboratively with Paid Social Team to improve UGC delivery, setting up a new process for sharing Influencer content with the Paid team
🚀 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)
Solid understanding of e-commerce metrics and attribution models
Modern Data Stack experience - particularly dbt
Use of data visualisation tools, ThoughtSpot (beneficial)
Familiarity with marketing platforms like GA4, Google Ads, Meta, Klaviyo,etc.
Stakeholder Management
Excel, Google Sheets
Beneficial Experience
Familiarity with Shopify or other e-commerce platforms
Data warehouse exposure - Snowflake, BigQuery etc.
Fivetran, data engineering etc.
GitHub Experience
Business Analytics
Effective verbal and written communication skills, demonstrating confidence and clarity in conveying information
Web Analytics experience
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!
- Department
- Growth
- Locations
- Wild HQ
- Remote status
- Hybrid