A hybrid role at PayJoy.
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Original listing text, shown exactly as published by the company.
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Design and maintain reliable data ingestion pipelines that feed customer and account data into Customer.io.
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Ensure data quality and consistency across ingestion flows using SQL and Python.
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Monitor pipeline health and proactively resolve data discrepancies or failures.
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Collaborate with engineering and data teams to expand and improve data sources feeding into collections workflows.
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Own and manage the collections agent assignment logic, ensuring accounts are correctly distributed based on defined rules and performance criteria.
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Maintain and update assignment workflows as team structure, strategies, or segmentation evolves.
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Automate assignment processes to reduce manual overhead and increase operational efficiency.
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Partner with collections operations to align assignment logic with business priorities and capacity planning.
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Build, maintain, and optimize 15+ collections performance dashboards in Hex using SQL.
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Ensure data accuracy and reliability across all dashboards by implementing validation checks and data quality processes.
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Deliver insights that help collections leadership make informed decisions on recovery strategies, agent performance, and portfolio health.
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Respond to ad hoc reporting requests and iterate on dashboards as business needs evolve.
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Conduct in-depth analysis of customer segments to identify recovery patterns, risk profiles, and opportunities for targeted collections strategies.
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Design and execute A/B tests and experiments to measure the impact of new collections approaches on recovery rates.
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Translate analytical findings into clear, actionable recommendations for the collections team.
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Support the continuous improvement of segmentation models by incorporating behavioral, payment, and risk data.
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Establish and maintain data connections with EDC and other external data providers relevant to collections operations.
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Ensure external data sources are properly ingested, validated, and available for analysis and modeling.
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Work with cross-functional teams to identify new external data opportunities that can improve collections outcomes.
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Document integration workflows and data dictionaries to ensure operational continuity.
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Design, launch, and iterate on data-driven collections tools (e.g., propensity models, contact prioritization logic, automated treatment triggers) aimed at improving portfolio recovery.
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Monitor tool performance post-launch and make data-backed adjustments to maximize recovery impact.
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Identify inefficiencies in current collections processes and propose technical solutions to address them.
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Stay up to date with industry best practices in collections technology and apply relevant innovations to the team’s toolset.
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Work with internal and external areas to ensure data consistency across departments.
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Support collections agents and team leads with training on dashboards, reports, and automated processes.
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Communicate technical findings in a business-friendly language for non-technical stakeholders.
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Collaborate with the risk, product, and engineering teams to align collections data initiatives with broader company goals.
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Mandatory: SQL (advanced), Python, Hex (or equivalent data notebook/BI tools), data ingestion and pipeline management.
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Experience with Customer.io or similar CRM/marketing automation platforms used for collections or customer engagement.
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Proficiency in data visualization and ability to build and maintain dashboards for operational teams.
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Familiarity with API integrations and connecting to external data sources.
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Experience designing and running A/B tests or controlled experiments in a data-driven environment.
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Knowledge of collections, credit risk, or lending operations.
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Experience with EDC or similar external credit data providers.
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Familiarity with machine learning or statistical modeling for propensity scoring or segmentation.
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Experience working in Fintech, financial services, or similar data-driven industries.
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Experience in Collections Operations, Credit Risk, or Business Intelligence roles.
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Strong understanding of portfolio management, delinquency tracking, and recovery strategies.
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Ability to independently scope, build, and deploy analytical tools with minimal supervision.
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Reliable and automated data pipelines feeding Customer.io with up-to-date and accurate customer information.
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Reduced manual workload through automated assignment logic and streamlined collections workflows.
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Improved decision-making through well-maintained, accurate, and actionable dashboards (15+).
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Measurable improvement in portfolio recovery rates driven by data-backed tools and experimentation.
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Stronger connectivity with external data sources (EDC) enabling richer segment analysis and treatment strategies.
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Strong analytical mindset with the ability to translate data into business decisions.
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Excellent problem-solving skills and the ability to proactively identify and address operational gaps.
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Ability to collaborate effectively with both technical and non-technical teams.
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Strong ownership mentality — comfortable managing multiple workstreams and delivering results independently.
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20 days paid Vacation
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50% Vacation premium
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$2,000 MXN monthly grocery coupons
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$2,000 USD annual Co-working Travel perk
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$2,000 USD annual Professional Development perk…
PayJoy
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Source: company website
