
Analytics Engineer – Payments, Finance Data
Posted Aug 21

Posted Aug 21
This is a fully remote position, open to applicants in Poland, +7 more countries.
• Take full ownership of the finance data domain from start to finish
• Create, sustain, and enhance finance data products, which include reports, alerts, and automation processes
• Develop financial data models in Pigment utilizing Python, Snowflake, Airflow, and dbt
• Implement and oversee continuous monitoring for data freshness, completeness, quality, and reconciliation discrepancies
• Investigate incidents thoroughly and guide them to resolution
• Design LLM agents to expedite analysis, tooling, documentation, and automation throughout the finance data stack
• Integrate data from various sources and enhance its quality
• Conduct reconciliations to ensure the reliability of financial models
• Clarify complex data challenges and their implications for Finance and business teams
• Proficient in Python and SQL, with experience in a data engineering or analytics engineering capacity
• Demonstrated experience in creating data models using dbt
• Practical experience with real-world financial or payments data
• Capability to design systems that handle messy, duplicated, delayed, or inconsistent data inputs
• Proven experience in managing reconciliation and/or data quality processes
• Familiarity with monitoring systems and incident resolution
• Strong sense of ownership and accountability
• Skill in investigating discrepancies and justifying numbers to Finance leadership
• Ability to work independently and tackle complex data challenges
• Open-minded teams and a warm, inclusive company culture
• Chance to make a significant impact with a revolutionary health tech product
• Competitive salary package reflective of expertise, skillset, and contributions
• Stock options available
• Options for in-office, remote, and hybrid work arrangements
• Necessary equipment provided to ensure happiness and productivity
• Premium SIMPLE subscription included
• 21 days of annual leave, in addition to bank holidays observed in your location
• Flexible working hours focused on achieving results rather than merely time spent at a desk
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