Назад
3 дня назад

Analytics Engineer (Payments & Finance Data)

Формат работы
remote (только Cyprus)/hybrid
Тип работы
fulltime
Страна
Cyprus
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Описание вакансии

TL;DR
Analytics Engineer (Payments & Finance Data) (Python/SQL/dbt): Building reliable finance data products, including reports, alerts, automations, and financial models, with an accent on payment data, reconciliations, and data quality. Focus on investigating discrepancies, monitoring data freshness and completeness, resolving data incidents, and developing LLM agents for finance analysis and automation.
#vacancy #analyticsengineer #data #finance #payments #python #sql #dbt #fulltime #Limassol

Company:
Role: Analytics Engineer (Payments & Finance Data)
Format: Full-time, hybrid or remote
Location: Limassol, Cyprus

Simple is an AI-powered health coaching app with 17M+ downloads and 300K+ 5-star reviews.

We’re looking for an Analytics Engineer to take ownership of our finance data domain and make sure the numbers behind reporting and planning are accurate, reliable, and easy for the business to trust.

What you’ll be doing:
• Owning finance data end-to-end
• Building and improving data products for Finance: reports, alerts, automations, and financial models
• Working with Python, Snowflake, Airflow, dbt, and Pigment
• Running reconciliations and investigating discrepancies
• Building monitoring for data freshness, completeness, and quality
• Troubleshooting data incidents and driving them to resolution
• Working closely with Finance, payment analysts, and data engineers
• Developing LLM agents to improve analysis, documentation, tooling, and automation across the finance data stack

What we’re looking for:
• Strong Python and SQL skills
• Experience with dbt and building data models
• Commercial experience working with financial or payments data
• Experience with reconciliation and data-quality processes
• Fluency in Russian
• Confidence working with messy, duplicated, delayed, or inconsistent data
• Strong ownership mindset and ability to work autonomously
• Comfortable digging deep into data and explaining complex issues to Finance and business stakeholders

This role is a good fit for someone who genuinely enjoys investigating why numbers don’t match, finding the root cause, and building systems that make finance data more reliable over time.

What we offer: fully remote setup, flexible hours, competitive compensation + stock options, equipment, and 21 days of annual leave + local bank holidays.

✉️ Interested? Apply

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