Sr. Data Analyst

Achieve is a digital personal finance company providing personalized financial solutions such as loans, debt consolidation, and financial education. The Senior Data Analyst will analyze loan portfolios, credit performance, sales funnels, and business processes to develop recommendations and improvements. The role also involves presenting findings to executives and driving approved proposals through implementation.

Responsibilities:

• 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 be required to be hands on to make this happen and ensure your proposals deliver desired business results

Requirements:

• 5+ years of experience in data science, quantitative business analysis, and/or statistical analysis; or relevant Master's Degree / MBA with 2+ years of experience
• MBA or Bachelor's Degree in Engineering, Scientific field, Finance, or Accounting
• Self-starter with the ability to work efficiently under direction of manager
• Experience leveraging PowerPoint to outline analytic results and make proposals
• Understanding of how to leverage regression analysis and decision trees to prove merits of a proposed improvement
• Strong MS Excel skills
• Basic/Intermediate SQL skills
• Basic Python skills
• Understanding of decision trees, segmentation, regression and other intelligent decision models used to analyze customer response behaviors, interaction patterns and propensity
• Minimum level of Math coursework: Calculus 1, Statistics 1 (math problem solving skills required)
• Prior experience in one or more of more of: business analysis or consulting
• Advanced SQL querying skills
• Data visualization tools
• Ability to leverage AI to generate quicker insights
• Coursework in Statistical Programming, Simulation, Regression
• Knowledge of and ability to interpret Probability Distributions, Hypothesis Testing, Regression techniques like Logistic Regression, Confidence Intervals