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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
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Evaluate product effectiveness (including versus industry peers), complete market analyses, refine customer value propositions, and collect customer feedback
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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)
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Create new data assets, modeling features, and dashboards in service to MX’s product platform
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Monitor data platform system performance to identify and address challenges to data quality (e.g., accuracy, completeness, and reliability) and availability
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Lead data exploration work to generate insights on product effectiveness, institutional client results, and end-user (consumer) financial health
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Develop presentations and memoranda to communicate key messages and insights based on rigorous analyses
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Serve as a subject matter expert on analytical best practices and data visualization
Basic Qualifications (Must-Have)
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Bachelor’s degree, including quantitative coursework (e.g., Mathematics, Physics, Statistics, Computer Science, or similar)
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1-3 years’ experience with operational, financial, or marketing analytics (likely including building dashboards and KPIs and analyzing product performance metrics)
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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
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Critical thinking skills, attention to detail, and focus on results
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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
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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
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Proven experience presenting analytical results to managers and teammates