Reward Analyst supporting design and management of reward framework for Sizewell C. Analyzing compensation data and ensuring compliant pay structures in a hybrid role.
About the role
- Lead Analyst managing data-informed strategies to optimize risk within Pay-As-You-Go business model. Reviewing performance and recommending improvements for better outcomes in data management.
Responsibilities
- Review portfolio, credit, and collections performance to identify risk patterns and areas for improvement.
- Develop statistical models and testing frameworks (such as A/B testing) to improve credit policies.
- Design, track, and interpret Key Performance Indicators (KPIs) aligned with business priorities.
- Provide clear data insights to inform business planning and direction.
- Contribute to customer segmentation work and survey design to refine credit strategies.
- Monitor portfolio performance and strategic programs, identifying potential issues early to keep initiatives on track.
- Present insights to both technical and non-technical stakeholders in a clear and structured way.
- Translate complex statistical findings into practical business recommendations.
- Develop dashboards and reporting tools using Looker.
- Identify opportunities to simplify reporting and automate recurring data workflows.
- Contribute to the development of scalable data tools that improve operational efficiency.
Requirements
- A Bachelor’s or Master’s degree in Data Science, Actuarial Science, Computer Science, Mathematics, Business Analytics, Economics, or a related quantitative field.
- 4+ years of experience in credit risk management roles, preferably within FinTech or modern consumer lending institutions.
- Demonstrated experience delivering data-based insights that informed business direction or program evaluation outcomes.
- Experience working in cross-functional environments with multiple stakeholders.
- **Technical Skills**
- Strong proficiency in SQL and at least one data programming language (Python or R).
- Solid knowledge of statistical methods, regression techniques, and hypothesis testing.
- Familiarity with experimentation methods, including randomized controlled trials (RCTs) and quasi-experimental approaches.
- Experience with BI tools such as Tableau, Looker, or Power BI.
- Experience working with cloud data environments (AWS, GCP, or Azure) is an advantage.
- **Soft Skills**
- Strong data reasoning and structured problem-solving ability.
- High attention to detail and dedication to data accuracy.
- Clear stakeholder communication skills (written and verbal).
- Ability to manage multiple priorities in a dynamic environment.
- Proactive approach with a strong sense of ownership and accountability.
Benefits
- Professional growth in a dynamic, rapidly expanding, high-social-impact industry
- An open-minded, collaborative culture with enthusiastic colleagues driven by the challenge of innovation and making a profound impact on people and the planet.
- A truly multicultural experience: you will have the chance to work with and learn from people from different geographies, nationalities, and backgrounds.
- Structured, tailored learning and development programs that help you become a better leader, manager, and professional through the Sun King Center for Leadership.
Job title
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