Energy Credit Risk Data Analyst

Worklane GmbH; Greater London; On-site; GBP 65,000 - 90,000; Full time

Job summary

Octopus Energy Group in London is seeking a data analytics professional to join the credit risk team, focusing on customers facing payment difficulties and data-driven decision making.

You will deep dive into data, develop BI reporting, and build models to identify fraud and support customer outcomes.

The role combines analytics with empathy for vulnerable customers and requires collaboration across Tech, Operations, Finance and Collections.

Qualifications

• 2-5 years experience in data analytics in a consumer-facing business.
• Excellent SQL skills.
• Ability to translate data into actionable insights.

Responsibilities

• Take ownership of management of customers struggling with their payments.
• Deep dive investigations into data to surface insights for decision making.
• Develop reporting suite with BI tools & technology stack.
• Develop empathic approaches towards vulnerable customers.
• Create strategies to identify and prevent first party and third party fraud.
• Develop machine learning models & policies that drive sophisticated decisions.
• Proactively identify new areas of opportunity.
• Challenge the status quo in terms of KPIs, objectives & strategy.
• Communicate complex data concepts effectively and confidently.
• Build great relationships with Collections, Ops, Technology, Finance, and other stakeholders.

Skills

SQL

Data analytics

Consumer data analytics

Python data science

Git

BI visualization tools

Tools

DBT

Tableau

Looker

Power BI

Git

Job description

Octopus Energy Group in London is seeking a data analytics professional to join the credit risk team, focusing on customers facing payment difficulties and data-driven decision making.

You will deep dive into data, develop BI reporting, and build models to identify fraud and support customer outcomes.

The role combines analytics with empathy for vulnerable customers and requires collaboration across Tech, Operations, Finance and Collections.