Data Scientist (Customer Analytics)

Questions come to you at a retail chain analytics team in Hammarsdale, and you answer them with data. If you turn up on time and finish what you start, you'll fit in quickly.

This post is Hammarsdale-based, with most of your time spent at a retail chain analytics team.

• Automate weekly reports that used to take hours in Excel
• Meet business users to turn their questions into report requirements
• Check data quality and trace odd numbers back to the source
• Build simple forecasting and segmentation models in Python or R
• Keep a data dictionary so everyone uses the same definitions
• Write SQL to pull, join and clean data from several sources

• At least 2 years in a data or reporting role (not needed for graduate posts)
• Strong SQL, including joins, window functions and CTEs
• Able to explain what the numbers mean, not just show them
• Hands-on Power BI, Tableau or a similar tool
• Degree in statistics, maths, computer science, economics or a related field

• Experience with Databricks, Snowflake or Fabric
• Industry knowledge in retail, insurance or credit

• Annual bonus tied to company performance
• Hybrid work with two office days
• Latest laptop with extra screen
• Paid cloud and BI certifications

• Show a before-and-after, like "replaced a 6-hour manual report with an automatic daily dashboard".
• Put SQL and your BI tool in the first line of your CV; these are the keywords every data recruiter searches.