Product Analyst II

Introduction to the Position

MX is on a mission to improve the financial lives of everyone and, for this reason, we’re creating innovative software designed to bring financial freedom to the lives of individuals, families, and communities. Our products help consumers understand and manage their financial data, improve their financial decision-making, and strengthen connections between financial institutions and their customers. We believe that data are central to every important financial action and we’re looking for smart, driven, creative individuals to come build with us!

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 Operational Analytics Team 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, and instrumentation in an intellectually engaging environment, you’ll enjoy working at MX as a Product Analyst.

As a Product Analyst, you’ll partner with colleagues from the Product and Analytics teams to complete a variety of computational activities, including analyzing customer journey and end-user metrics, data mining exercises, data stratification and quality control, and dashboard and KPI development. 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 analytical skills to discover new correlations and predictive relationships using MX’s expanding, world-class data assets. Eager to learn, you’ll also look for ways to enhance your analytical toolbox through side-by-side training and self-directed study. The ability to interpret and communicate analytical results will be important for success, as will patience in the face of analytic uncertainty. Your computational background, collaborative spirit, and hands-on approach to solving problems will mark you as an ideal candidate for this role.

As part of MX’s thriving analytics organization, you’ll enjoy autonomy and the ability to make a real difference in a successful and high-growth company. As you partner with other creative and enthusiastic team members, you’ll be rewarded and recognized for your high-caliber work. MX’s values are central to the company’s success, and you’ll live by questioning assumptions and taking initiative, advancing our data-driven approach to solving problems, and showing empathy and a commitment to radical honesty in equal measure.

Job Responsibilities

• Work with colleagues from the product and analytics functions to design customer and procedural metrics, complete operational and segmentation analyses, predict end-user behavior, 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)
• 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 on analytical best practices and data visualization

Basic Qualifications (Must-Have)

• Bachelor’s degree, including quantitative coursework (e.g., Mathematics, Physics, Statistics, Computer Science, or similar)
• 1-3 years’ experience with operational, financial, or marketing analytics (likely including building dashboards and KPIs and analyzing product performance metrics)
• Proficiency with at least one database query language (e.g., SQL); familiarity with Python and exposure to modern data science environments (e.g., cloud, Jupyter, and git) is preferred
• Critical thinking skills, attention to detail, and focus on results
• Drive to tackle demanding goals with enthusiasm, tenacity in the face of stubborn obstacles, and interest in pursuing personal and technical development alongside other commitments
• Commitment to client needs and satisfaction, humility in the face of constructive feedback, and production of high-quality work that builds trust and confidence with stakeholders
• Proven experience presenting analytical results to managers and teammates

Preferred Qualifications

• Familiarity with Python or other statistical programming languages for data manipulation, analysis, and visualization.
• Hands-on experience working in modern data science environments (e.g., cloud platforms like AWS/GCP, Jupyter notebooks, version control systems like git).
• Prior professional experience in fintech, financial services, or high-growth SaaS environments.
• Proficiency with Excel, including complex formulas, pivot tables, and data modeling.
• Experience building or optimizing analytics infrastructure, ETL pipelines, or data warehouse implementations.