A hybrid Data Analytics role at PayJoy.
Keywords this role’s ATS scans for
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Original listing text, shown exactly as published by the company.
Technical Skills & Tools
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Mandatory: SQL (advanced), Python, Hex (or equivalent BI/notebook tools).
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Mandatory: solid foundation in statistics and quantitative methods — hypothesis testing, regression analysis, confidence intervals, and experimental design applied to business problems.
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Mandatory: hands-on experience with A/B testing methodologies, experimentation frameworks, and interpreting statistical significance in a business context.
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Experience with predictive modeling or propensity scoring techniques (logistic regression, decision trees, or equivalent).
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Proficiency in translating data and statistical findings into strategic narratives and executive-level recommendations.
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Familiarity with API integrations and connecting to external data sources.
Desirable but Not Essential
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Knowledge of collections, credit risk, or lending operations.
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Experience with agency management, vendor scorecards, or procurement analytics.
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Familiarity with machine learning or statistical modeling for propensity scoring.
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Experience in Fintech, financial services, or similarly data-driven industries.
Specific Knowledge
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Experience in Data Science, Strategy, Business Intelligence, Analytics, or Collections Operations roles.
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Strong understanding of portfolio management, delinquency tracking, and recovery strategies.
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Ability to independently scope, execute, and communicate strategic projects with minimal supervision.
Expected Results from This Role
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A clearly defined and data-backed global collections strategy, updated quarterly.
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Faster, better-informed rollout decisions driven by a structured experimentation framework.
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Measurable improvement in agency ROI through active, objective performance monitoring.
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Cross-market benchmarking that surfaces best practices and accelerates performance improvement.
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A collections team that operates with analytical discipline — measuring what matters and acting on evidence.
Soft Skills
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Strategic thinker with strong analytical foundations — comfortable moving between high-level vision and detailed data.
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Excellent communication skills — able to present complex findings to both technical and executive audiences.
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Strong ownership mentality — proactive in identifying problems and proposing solutions without being asked.
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Collaborative but opinionated — brings a point of view and defends it with data.
PayJoy
Data Analytics
91 open roles on Sydicom
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Source: company website