Credit Data Analyst — Renewable Energy Impact

Octopus Energy Group; Greater London; Hybrid; GBP 62,000 - 82,000; Full time

Job summary

Octopus Energy Group is seeking a data analytics professional to join our credit risk team in London. You’ll own the management of customers facing payment challenges, dive into data to surface insights, and help develop our reporting suite and ML-driven decision processes.

You’ll collaborate with collections, ops, tech, and finance to reduce risk while improving customer outcomes. The role emphasises strong SQL, data-driven problem solving, and 2–5 years’ experience in analytics within a

Qualifications

• Strong SQL skills and ability to derive insights from payment data.
• Experience analyzing customer finances and payment behaviours in a consumer-facing business.
• Comfort translating complex data into actionable business decisions.

Responsibilities

• Take ownership of the management of customers struggling with their payments.
• Perform deep-dive data investigations to surface insights for decision making.
• Develop and enhance the reporting suite using BI tools and the latest tech stack.
• Develop empathic approaches towards vulnerable customers.
• Create strategies to identify and prevent first/third party fraud.
• Develop ML models and policies to drive sophisticated decisions.
• Proactively identify new areas of opportunity and challenge KPIs and strategy.
• Communicate complex data concepts clearly to stakeholders across teams.

Skills

SQL

Data analysis

Consumer-facing

Tools

Python data science stack

Git

Tableau/Looker/Power BI

DBT

Job description

Octopus Energy Group is seeking a data analytics professional to join our credit risk team in London. You’ll own the management of customers facing payment challenges, dive into data to surface insights, and help develop our reporting suite and ML-driven decision processes.

You’ll collaborate with collections, ops, tech, and finance to reduce risk while improving customer outcomes. The role emphasises strong SQL, data-driven problem solving, and 2–5 years’ experience in analytics within a