Analytics Engineer

This is a fully remote position, open to applicants in Europe.

📋 Description

• Design, develop, and enhance essential anti-fraud data models utilizing ClickHouse and dbt.

• Generate dependable, thoroughly documented datasets for evaluating and comparing detection performance.

• Assist in defining common metrics and standards.

• Take ownership of data quality, encompassing testing, documentation, lineage, and monitoring.

• Collaborate with Data Engineering, Product, and anti-fraud specialists to integrate new data sources.

• Analyze the performance of anti-fraud tools across various products, clients, and fraud scenarios.

• Create repeatable methodologies for evaluating modifications to detection logic.

• Transform insights into actionable recommendations for both Product and clients.

• Provide support for complex, data-intensive client cases as necessary.

• Report to the Head of Product Analytics and engage with the Analytics team.

⛳️ Requirements

• Over 4 years of experience in analytics engineering, data engineering, or product analytics, with a strong emphasis on data modeling.

• Proficient in SQL and possess robust data modeling skills, including dimensional modeling, event data, slowly changing dimensions, incremental models, and precise table grain.

• Practical experience with dbt or a similar tool, including testing, documentation, incremental materializations, and code reviews.

• Direct experience with ClickHouse or another columnar data warehouse.

• Familiarity with large event-level datasets.

• Strong proficiency in Python for analytical tasks and data management.

• Knowledge of detection-quality assessment, including confusion matrix, precision/recall, PR and ROC curves, threshold trade-offs, and the cost of errors.

• Capability to identify bias, leakage, and misleading metrics.

• Ability to articulate findings to product managers and clients using clear logic, numerical data, and specific examples.

• Hands-on experience with AI tools in analytics and data engineering, or a strong willingness to integrate them into the workflow.

• Proficient in English.

🏝️ Benefits

• Remote-first, trust-based culture with no mandatory office days or attendance monitoring.

• Flexible working hours without a fixed 9-to-5 schedule.

• Birthday holiday.

• 10 personal days each year.

• Seven sick days without the need for paperwork.

• Additional time off during Christmas and New Year.

• Role-specific learning opportunities and coverage for professional events.

• Financial bonuses for marriage and the arrival of a new baby.

• Fully funded team offsite events several times a year.

• Necessary tools and hardware provided for the role.

• Offices or coworking spaces available in select locations.

• Commitment to equal opportunity and an inclusive workplace.