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Senior Analytics Engineer – Finance & Risk
Octopus EnergySenior Analytics Engineer guiding B2C collection strategies based on customer data insights. Collaborating closely with Finance and operations teams to optimize credit risk management.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis and data-driven operations, with strong capabilities in SQL and Python for improving collection strategies and managing credit risk. Proficient in project management and synthesizing complex analyses for clear communication across teams.
Highest-signal resume keywords
Data AnalysisSQLPythonCollections KnowledgeData Visualization
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Data AnalysisSQLPythonData-Driven OperationsReportingCredit Risk ManagementProject ManagementData Visualization
Soft Skills
ProactiveRigorousSynthesis
Industry Keywords
B2C Collection StrategyCredit TopicsCollection Processes
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Guide B2C collection strategy based on customer data analysis
- Measure the impact of existing actions and build analytical reports
- Propose strategic directions to improve recovery rates and manage credit risk
- Support Finance teams in decision-making and improve collection processes
Requirements
What you’ll need- Strong background in data analysis and data-driven operations, such as Analytics Engineer
- Excellent skills in SQL and Python
- Knowledge of collections/credit topics
- Rigorous and proactive in improving reporting and analyses
- Ability to manage projects involving multiple internal teams
- Comfortable with data visualization tools
- Ability to synthesize analyses clearly
Benefits
Comp & perks- Equity participation
- Flex-office
- Excellent health insurance
- Mobility allowance for green transport
- Partial coverage of your transport pass beyond the legal minimum
- Special days off to contribute to a nonprofit project