Mid Data Analyst - Tribe Billing

• Blend business, analytical, statistical, and presentation skills to support credit risk management
• Develop strong partnerships with key business stakeholders
• Identify new credit segmentation or business strategy opportunities to enhance credit decision processes
• Develop and maintain analysis/reporting tools and models to support decision-making
• Conduct qualitative and quantitative analysis of credit policies to optimize business and financial objectives
• Lead efforts in loss forecasting analysis and provide actionable recommendations
• Extract key insights from large datasets, analyze data quality, and leverage statistical methodologies for decision strategy optimization

• 2-3 years of experience in SQL – Strong command of database querying and management
• Proficiency in reporting tools like Tableau or Power BI – Ability to create insightful visualizations
• Excellent communication, organization, and presentation skills – Deliver complex data insights effectively
• Experience automating processes with SQL – Streamline workflows and improve efficiency

Nice to Have:

• Credit or Collections risk experience – A plus for understanding financial risk
• Big Data expertise
• Python programming knowledge
• Degree in Finance, Economics, Mathematics, or Statistics
• Experience in Financial or Telecom industries
• Familiarity with Agile methodologies
• English B2/C1