Analytics Engineer
Summary
Builds and owns PayJoy’s financial-operations data foundation, designing canonical FinOps models and automating reporting to provide reliable financial metrics for business decisions.
Key responsibilities
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Design, build, and maintain the canonical FinOps data models (unit economics, cost structure, margins, and pricing) that do not exist today, so the business has consistent, reliable financial metrics to decide from.
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Establish and document the single source of truth for the business's financial metrics, aligning definitions across teams so everyone reports from the same numbers.
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Build and maintain data pipelines that integrate the relevant sources (ledger, payments/collections, billing, credit-origination platforms, cloud), so the financial models are fed complete and up-to-date data.
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Implement data-quality tests and validations at the transaction level before models feed decisions, keeping the numbers behind business decisions trustworthy.
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Automate the reporting, reconciliations, and FinOps processes that are manual today and own the operational cadence (periodic closes and recurring deliverables), reducing manual work and freeing the team for higher-value analysis.
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Build, maintain, and evolve the metrics dashboards for stakeholders and handle ad-hoc data and financial-analysis requests from the areas that depend on FinOps.
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Establish the business baseline and its ETA, define and monitor the key financial KPIs, and provide data support to forecasting, budgeting, and projection exercises.
Requirements
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Education: Bachelor's degree in engineering, computer science, information systems, data, finance/accounting, or a related field, or equivalent practical experience.
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Language and level of proficiency: advanced English.
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Software and technical skills: advanced SQL and Python; analytical databases / data warehouses (Snowflake, Databricks, or BigQuery); ELT/ETL pipelines, incremental models, and historical loads.
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Specialized knowledge: accounting/finance fundamentals (double-entry, clearing, reconciliation, accruals) and BI dashboard design and maintenance.
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Experience: <=3 years in data / analytics engineering, ideally working with financial data.
Benefits
- Local benefits depending on the country of hire
- Company-funded health insurance for employee and immediate family
- Company-funded employee life and disability insurance
- Paid vacation days, unlimited sick leave
- $2,000 USD annual Co-working Travel perk
- $2,000 USD annual Professional Development perk
- Phone finance, headphone benefit, home office equipment allowance and wellness perks
- Catered lunches
As published by lever
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