Join Wild's quest to revolutionize sustainable self-care as our new Junior Data Analyst
Overview
No salary declared 😔
Wild HQ, Hybrid Remote
Expires at anytime
Organisation Summary: Wild is a pioneering eco-friendly brand on a mission to eliminate single-use plastic from the bathroom. Since launching in 2020, we've become one of Europe's fastest-growing start-ups. We’re known for our refillable, natural deodorants and a growing range of personal care products. Join us to be part of a sustainability revolution and help us continue our rapid expansion!
- Contribute to building Wild’s internal data platform.
- Create dynamic data models using dbt for business insights and reporting.
- Assist in the full data process, from ingestion to visualization.
- Collaborate with the Senior BI Manager and the Finance Director.
- 2 - 3 years’ experience in data analytics, ideally within e-commerce.
- Strong SQL skills and experience with modern data stacks like dbt.
- Proficiency in data visualization tools such as Tableau or Power BI.
- Knowledge of data warehouses like Snowflake or BigQuery is an advantage.
- Proficiency in Excel and Google Sheets.
- Excellent communication and stakeholder management skills.
- Experience with analytics engineering, data engineering, GitHub, web analytics, and business analytics is beneficial.
Benefits: Enjoy 25 days holiday plus bank holidays and 9 remote working days, hybrid working model, pension, mental wellbeing support, private healthcare, social events, learning and development budget, free breakfast, discounted products, and dedicated volunteering days.
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’re only just getting 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 now looking for a Junior Data Analyst to join our data team. This a junior position and they will be 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 create dynamic data models for business insights and reporting, and assist in the entire data process, from digestion to visualisation. You will report into the Senior BI Manager and work closely with the Finance Director.
Job requirements: 2 - 3 years in data analytics, preferably in an e-commerce business (essential), Strong SQL Skills - complex joins, CTEs, window functions (essential), 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. (beneficial), Excel, Google Sheets (essential), Effective verbal and written communication skills, demonstrating confidence and clarity in conveying information (beneficial), Stakeholder Management (beneficial), Analytics Engineering experience (beneficial), Fivetran, data engineering etc. (beneficial), GitHub Experience (beneficial), Web Analytics (beneficial), Business Analytics (beneficial).
Benefits: 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 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.