Credit Risk Data Analyst (Lending) – Fixed-Term

You'll turn messy data into reports managers actually use, for a telecoms provider in Worcester. You'll work with a small crew, so being easy to work with matters as much as skill.

The site is in Worcester; early starts mean public transport timing matters, so check your route before applying. Weekend work is on a roster, so you won't be on every weekend.

• Build ETL pipelines in SSIS, Azure Data Factory or Python
• Present findings to managers in plain language with clear charts
• Build simple forecasting and segmentation models in Python or R
• Build and maintain Power BI dashboards and data models
• Keep a data dictionary so everyone uses the same definitions

• Hands-on Power BI, Tableau or a similar tool
• Strong SQL, including joins, window functions and CTEs
• Advanced Excel
• Careful with sensitive customer data
• At least 2 years in a data or reporting role (not needed for graduate posts)
• Able to explain what the numbers mean, not just show them

• Experience with Databricks, Snowflake or Fabric
• Microsoft PL-300 Power BI Data Analyst certification
• Python with pandas for data wrangling

• Hybrid work with two office days
• Annual bonus tied to company performance
• Latest laptop with extra screen

• Build one public portfolio dashboard on a South African open data set if you have no work samples to share.
• Put SQL and your BI tool in the first line of your CV; these are the keywords every data recruiter searches.