Senior Business Intelligence Analyst

4 weeks ago

Mt Laurel, United States PEAC Solutions Full time

Senior Business Intelligence Analyst – Hybrid Large enough to finance the globe, small enough to personally support your business. We believe in sweat equity, and understand when opportunity knocks, it’s best to open the door. We’re beside our partners and customers every step of the way, providing lending solutions and support – so every hurdle can be overcome, and every opportunity can be seized. PEAC Solutions is a private company backed by HPS Investment Partners, a leading global investment firm, providing equipment financing, working capital, and inventory financing lending solutions to keep businesses thriving. At PEAC, we work together to make a lasting impact on our customers, our partners and each other. With a group this passionate about supporting business, our successes come with plenty of reward and celebration. And in our collaborative team environment, everyone has an impactful voice.One of the biggest contributions we make to our employees is to empower them to be problem solvers and strategic thinkers and support their growth. The primary goal of the

Business Intelligence Team

is to leverage data & predictive analytics to identify and unlock opportunities for revenue & profit growth at PEAC. We are passionate about using data to generate insights and make decisions in every area of the business. We take a data-driven, strategic approach to credit risk, product development, marketing & sales strategy, pricing, treasury operations, customer engagement and retention. Working closely with the CFO, the

Senior Business Intelligence Analyst

uses advanced techniques that integrate traditional and non-traditional datasets to enable analytical solutions, and successfully applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications. In this role you will build analytical solutions leveraging internal and external data sources to deliver value and create competitive advantage. The Senior Business Intelligence Analyst will be responsible for quality and accuracy and must have the ability to translate complex analytical and technical concepts to non-technical employees. This is a hybrid position working in our Mt. Laurel, NJ office 3 days a week with 2 days a week remote. Essential Functions: Partner with business leaders across the organization to define business problems and research questions; serves as key resource and Subject Matter Expert (SME) on cross functional, matrixed teams to solve highly complex work critical to the organization. Maintain predictive model development, implementation, and management. This includes writing the code, training/fitting of the model parameters. Develop models to forecast new origination growth, balance attrition and profitability by channel, including the creation of lifetime value modeling and portfolio valuations. Develop models to support price and fee sensitivities and hold versus sell decision parameters. Support treasury cashflow models for credit analytics. Perform independent model testing, including evaluation of mathematical soundness, developmental evidence, historical performance, statistical testing, back testing, model benchmarking and appropriate sensitivity analyses. Prepare and retain full documentation of the model development process, any associated testing performed, any and all modelling assumptions (particularly management assumptions), and relevant control and governance processes surrounding model. Present quantitative results clearly and concisely and display a capability to discuss statistical and quantitative concepts coherently. Work with cross-functional areas to develop predictive models such as renewal trends and other behavior models. Strong communication and interpersonal skills and ability to explain complex modeling techniques. Lead analytic efforts in support of the continuous improvement of profitability and acquisition channel optimization. Responsible for portfolio monitoring and portfolio stress testing. Ensure individual objectives are aligned to achieve the overall corporate goals. Qualifications:

Bachelor’s Degree in a quantitative field required, with preference to master’s degree in “STEM” field (Data Science, Technology, Business Intelligence, or Mathematics). 5+ years of experience in data analytics (minimum of 3 years); 2 years’ experience in financial services industry preferred. Strong proficiency in R, Python or SAS required, in addition to advanced skills in MS Office, Excel. In-depth understanding of SQL. Experienced in using multiple data science methodologies to solve complex business problems (e.g. statistical analysis, research science, machine learning and deep learning techniques, data modeling, regression modeling, financial analysis, demand modeling, etc.) Possess in-depth knowledge and subject matter expertise of statistical techniques and application. Knowledge of techniques and tools that promote analysis and the ability to effectively interpret results and determine the correct course of action. Technical aptitude with strong, logical, problem solving and decision-making skills. Strong understanding of statistical tools and their application to business, as well as principles of cost/benefit analysis, risk management, collections, and operations. Ability to prioritize according to the strategic direction of the organization, ability to meet deadlines and follow through on the completion of high-profile projects and initiatives. Highly organized and detail oriented with the proven ability to multi-task. Strong written and verbal communication and interpersonal skills and ability to work with various levels of an organization. The successful candidate will receive a competitive compensation package along with an excellent benefit package to include medical, dental, life insurance, short and long-term disability, employee restricted stock purchase plan, 401(k) with match, flexible spending and generous paid time off. PEAC also provides one paid day off per year to support community involvement.

PEAC Solution is an Equal Opportunity Employer.

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