Data Analyst / Scientist

We’re looking for a data scientist/analyst to join our small and growing team to continue building our data processes and help build our product further. As part of the data team at elm you can expect to own large parts of the data product, learn fast and grow as elm does, and work directly with large customers directly on their most exciting opportunities.

What you’ll do:

• Support with internal data processes and take the lead on ensuring all data connections are live and active
• Develop new data features and improve existing ones to help FMCG brands harness their data
• Develop internal tools and processes to ensure data infrastructure is working to its utmost capability
• Work with extensive datasets in the retail sector to create and implement data science solutions for the industry
• Help users solve issues and respond to their feedback
• Work alongside our engineering, product, and sales teams to develop and implement data products

Requirements

About you:

• You have at least 1 year experience working as a data analyst or scientist
• You’re very well-versed in SQL and Python
• You have experience working with data systems and architecture such as AWS, DBT, or similar
• You're confident both getting stuck in with data processes and tasks but also thinking strategically about how data can help drive businesses forward
• You care about success and growing professionally
• You’re well organised and a strong communicator

Benefits

What we can offer you:

• Starting salary of £30-35k
• Share options: the chance to own a part of elm
• Flexible working. We trust you to do your job well at times that suit you(hours and location)
• Ownership: the chance to build a product from scratch, define elm’s future, and reap the rewards when we succeed
• 28 days holiday (plus bank holidays)

Note: we're a London based company but are ~90% remote (we like to try meet up regularly for in person sessions). The ideal candidate will be within 1 hour of the UK timezone.

A little about the application process

To manage your expectations, the following is the 5 main steps of our application process:

1. Application review
2. Phone/zoom interview
3. Practical exercise (max 2-3 hours of your own time)
4. Further team interviews
5. Final discussion / offer

We want to work with great people who care

If you’re not sure you match the criteria but you want to be a part of our mission and you like the sound of jumping in at ground level, we want to hear from you. We also believe that diverse teams make better things, so we’d especially like to hear from you if you come from a background that’s traditionally underrepresented in tech.