Sr. Data Analyst

Achieve•Tempe, AZ

1d•$115,000 - $145,000•Hybrid

About The Position

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.

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
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)

Nice To Haves

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

Responsibilities

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.