Achieve is a leading digital personal finance company. We help everyday people move from struggling to thriving by providing innovative, personalized financial solutions. By leveraging proprietary data and analytics, our solutions are tailored for each step of our member's financial journey to include personal loans, home equity loans, debt consolidation, financial tools and education. Every day, we get to help our members move their finances forward with care, compassion, and empathetic touch. We put people first and treat them like humans, not account numbers.
As a Sr. Data Analyst, you’ll impact the lives of everyday people and help them go from surviving to thriving with innovative digital personal finance solutions. This person must have excellent analytical capabilities in order to create accurate, thoughtful, clear recommendations that drive how we manage our business. Statistical Analysis, data mining, Advanced Excel, SQL & Python skills, effective communication skills, an entrepreneurial and proactive approach, exceptional time management and an ability to comfortably work with senior management are also critical for success in this role.
What you’ll do:
- Develop and implement business improvements, including:
- Provide real time analysis of our loan portfolio and new loan originations to identify and understand items that could substantially impair portfolio returns
- Detect quality breakdowns in our credit/underwriting system that create credit, legal, or bank partner focused compliance risks
- Drive improvements in credit performance by finding pockets of low risk consumer where we can approve more loans
- Use multivariate statistical/predictive models to conduct diagnostic analysis to answer key business questions
- Analyze sales and digital application funnels to identify areas of opportunity to generate additional originations
- Develop PowerPoint presentations that summarize your analysis and your recommendations. Present your findings to VP level Executives.
- Measure the likely cost and benefit of business improvements
- Leverage combination of following to drive actionable business insights: Financial modeling, SQL, Python, AI tools, hypothesis testing, statistical analysis and forensic analysis
- Design portfolio monitoring, processes, and controls for managing credit risk and identifying root causes of changes in loan performance
- Play an active role to drive your proposals all the way into implementation – you will b