BI Data Analyst – Operations & Collections (SQL | Redshift | Python | Quicksight)
Gloo Southampton, England, United Kingdom
BI Data Analyst – Operations & Collections (SQL | Redshift | Python | Quicksight)
Gloo Southampton, England, United Kingdom
This range is provided by Gloo. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
BI Data Analyst Role in Southampton. AWS, SQL, Collections.
This as a rare opportunity in Southampton to do some serious BI. This is a sharp, focused role at a UK-based consumer lending company where data isn't just nice to have — it's the engine room of strategy.
We’re hiring a BI Analyst to support the Operations and Collections teams, helping drive smarter decisions around arrears management, customer treatment strategies, and risk forecasting.
You’ll work across SQL, AWS Redshift, and Quicksight — building dashboards, running A/B tests, and linking what happens in collections to what shows up in the P&L.
What you'll be doing:
* Designing and iterating segmentation- and trigger-based collections strategies
* Monitoring roll rate, delinquency, recovery rate, and charge-off trends
* Using A/B testing and performance tracking to compare strategy variants
* Forecasting collections outcomes and supporting KPI target-setting
* Writing robust SQL (Redshift) queries to extract, clean, and analyse operational data
What we’re looking for:
* Experience in collections analytics, operations insight, or lending strategy
* Fluent in SQL, with exposure to Redshift; Python is a strong bonus
* Knows how to communicate insight — and challenge assumptions
* Comfortable tying operational actions to business outcomes
* Bonus: exposure to forecasting models, strategy testing, or regulated financial services
Why this role?
* You’ll be close to the action: your work shapes day-to-day strategy
* Small, sharp team — not a data warehouse reporting factory
* Tools that matter: AWS Redshift, Quicksight, Python, SQL
* Flexible hybrid setup: Southampton HQ, 2–3 days/week in office
Seniority level
* Seniority level
Associate
Employment type
* Employment type
Full-time
Job function
* Job function
Information Technology, Analyst, and Strategy/Planning
* Industries
Consumer Services
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