Junior Data Analyst

at  Wild Cosmetics

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?

WHAT WE NEED FROM YOU:

Please note that we welcome applications from candidates who may not hit every single bullet point on the lists below - if you’re passionate about our mission and feel you have relevant skills and experiences to add value to this role, please submit an application!

• 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)

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.

WHAT YOU WILL DO:

• 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

Please note that we welcome applications from candidates who may not hit every single bullet point on the lists below - if you’re passionate about our mission and feel you have relevant skills and experiences to add value to this role, please submit an application!

• 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