Data Analyst (Credit)

About This Opportunity

We are representing a confidential energy sector client in their search for a Data Analyst focused on credit operations. Our client is navigating a period of significant market volatility, and this role sits at the intersection of data analytics, customer support, and risk management. The successful candidate will join a team dedicated to supporting customers facing financial challenges while leveraging sophisticated data tools and machine learning approaches.

This is an excellent opportunity for an analytically-minded professional who wants to make a meaningful impact on customer outcomes in a fast-paced, technology-driven environment.

Responsibilities

• Take ownership of data-driven strategies for managing customers experiencing payment difficulties
• Conduct deep-dive investigations into complex datasets to surface actionable insights for decision-making
• Develop and maintain reporting suites using modern BI tools and technology platforms
• Design empathic, data-informed approaches for supporting vulnerable customers
• Create strategies to identify and prevent both first-party and third-party fraud
• Contribute to the development of machine learning models and policies that drive sophisticated credit decisions
• Proactively identify new areas of opportunity within credit risk management
• Challenge existing KPIs, objectives, and strategic approaches with data-backed recommendations
• Communicate complex data concepts effectively to both technical and non-technical stakeholders
• Build collaborative relationships across Collections, Operations, Technology, Finance, and other departments

What We're Looking For

Essential:

• Excellent SQL skills with demonstrated ability to query and manipulate large datasets
• Strong drive to solve business problems using data and analytics
• 2-5 years of experience in data analytics within a consumer-facing business environment
• Ability to translate data findings into clear, actionable recommendations
• Experience working collaboratively across multiple business functions

Desirable:

• Proficiency with the Python data science stack (pandas, NumPy, Jupyter notebooks, Plotly/matplotlib)
• Familiarity with Git for version control
• Experience with data visualization tools such as Tableau, Looker, PowerBI or equivalent platforms
• Knowledge of DBT (data build tool)

How We Work With You

When you apply through Get A Job.ai, our talent team will review your background and conduct an initial screening conversation. We'll discuss your experience, career goals, and what you're looking for in your next role. If there's a strong mutual fit, we'll submit your profile to our client for consideration and guide you through their interview process.

Please apply exclusively through Get A Job.ai and do not contact the client directly. Our recruiters are your advocates throughout the entire process and will keep you informed at every stage.

Pay

Compensation details will be discussed during your initial conversation with our recruitment team, as our client offers flexibility based on experience level and background.

Equal Opportunity: Get A Job.ai is committed to inclusive hiring practices. We encourage applications from candidates of all backgrounds and experiences. If you're interested in this role but don't meet every single requirement, we still encourage you to apply.