Sr. Product Analyst

Life at MX

We are driven by our moral imperative to advance mankind - and it all starts with our people, product and purpose. We always carry a deep sense of drive and passion with us. If you thrive in a challenging work environment, surrounded by incredible team members who will help you grow, MX is the right place for you.

Come build with us and be part of an award-winning company that’s helping create meaningful and lasting change in the financial industry.

The MX Product team is responsible for building world-class financial tools that leverage our unrivaled data assets.  As consumers and institutions interact with these tools, new insights and information are created that can be transformed into even better products.  In service to creating the industry's most compelling products, the Data Science & Analytics (DSA) department takes the lead on the company’s most computationally and analytically complex problems.  If you’re keen to conduct careful analyses focused on core business problems, operational analysis, measurement, and instrumentation in an intellectually engaging environment, you’ll enjoy working at MX as a Senior Product Analyst.

As a Senior Product Analyst within the Data Science and Analytics department, you’ll partner with colleagues from the Product and analytic teams to lead a variety of computational activities, including the development of customer journey and end-user metrics, product-focused data mining, data stratification and quality control, dashboard and KPI development, and “what-if” analyses to predict how specific initiatives will impact product performance.  Your work will inform new product development and help us understand how to maximize our product portfolio’s marketplace effectiveness.  As a talented “data wrangler”, you’ll leverage your analytic skills to discover new correlations and predictive relationships using MX’s expanding, world-class data asset. Never content, you’ll also look for ways to expand your analytic toolbox through side-by-side training and self-directed study. As a senior team member, you will be expected to provide mentorship to other analysts, including sharing analytic insights, helping to structure problems, and supporting managers by reviewing work. The ability to turn analytic results into digestible and engaging stories will be important for success, as will patience in the face of analytic uncertainty. Your strong computational training and background, collaborative spirit, and hands-on approach to solving problems will mark you as an ideal candidate for this role.

Job Duties

• Work with colleagues from the product and analytic functions to design customer and procedural metrics, complete operational and segmentation analyses, predict end-user behavior, estimate and measure the results of product initiatives, and make data-driven recommendations about product features

• Evaluate product effectiveness (including versus industry peers), complete market analyses, refine customer value propositions, and collect customer feedback

• Write scripts to support hypothesis-based and theory-free data mining projects (e.g., create new pattern recognition algorithms and find hidden relationships between features)

• Establish, follow, and hold others accountable to best practices for collecting, analyzing, and generating insights from end-user and system activity data

• Create new data assets, modeling features, and dashboards in service to MX’s product platform

• Monitor data platform system performance to identify and address challenges to data quality (e.g., accuracy, completeness, and reliability) and availability

• Lead data exploration work to generate insights on product effectiveness, institutional client results, and end-user (consumer) financial health

• Develop presentations and memoranda to communicate key messages and insights based on rigorous analyses

• Serve as a subject matter expert, trainer, mentor, and reviewer of analytical and data visualization best practices

Job Requirements

• Bachelor’s degree, including quantitative coursework (e.g., Mathematics, Physics, Statistics, Computer Science, or similar)

• Five years of progressive experience with operational, financial, or marketing analytics preferred; proficiency with product performance metrics, descriptive statistics, and/or behavioral analytics would be advantageous, as would previous consulting experience

• Expertise with at least one database query language (e.g., SQL) and Python (or equivalent); exposure to modern data science environments (e.g., cloud, Jupyter, and git) would also be beneficial

• Prior experience converting analytic results