Analytics Engineer (Data Quality & Tracking)

Product & Feature Understanding

• Analyze how new product features work from a user behavior and product logic perspective;
• Understand feature implementation on both frontend and backend levels to ensure correct tracking logic.

Analytics Requirements & Tracking Design

• Define analytics requirements before feature launch, including:
• Events, attributes, and user-level data to be tracked;
• Naming conventions, schemas, and data structure.
• Work closely with product managers, frontend and backend engineers to align on tracking implementation;
• Ensure tracking is designed to support future analysis, segmentation, and business questions.

Data Quality & Consistency

• Validate that data written to the database is logically correct and meaningful;
• Prevent incorrect aggregation or data pollution;
• (e.g. different bonus types merged into a single "bonus" field);
• Identify inconsistencies between product logic and recorded data.

End-to-End Data Flow Validation

• Validate the full data pipeline:
• Frontend * Backend * Database * Snowflake.
• Ensure no data loss, duplication, or incorrect transformations occur.
• Collaborate closely with Data Engineers and Data Architects to:
• Align tracking with data models;
• Validate transformations and ingestion logic;
• Improve data reliability and scalability.

Post-Launch Monitoring & Support

• Perform post-launch data validation and ongoing monitoring;
• Detect and investigate anomalies, missing events, or broken tracking;
• Support insight analysts by ensuring data is clean, consistent, and analysis-ready.

Documentation & Enablement

• Maintain clear documentation for:
• Tracking schemas;
• Metrics definitions;
• Business logic and assumptions.
• Act as a single point of ownership for tracking and data quality standards.

• Strong understanding of product analytics and event-based tracking;
• Experience working with databases and analytical warehouses (Snowflake preferred);
• Strong SQL and Python skills;
• Solid understanding of data modeling, schemas, and data pipelines;
• Ability to translate product logic into correct data structures;
• Experience working closely with frontend, backend, product, and data teams;
• High attention to detail and strong ownership mindset.

Nice to Have:

• Experience in iGaming / gaming / high-traffic consumer products;
• Familiarity with tracking tools (GA, BQ, ClickHouse);
• Experience defining tracking plans or analytics specifications;
• Basic understanding of ETL / ELT pipelines;
• Experience working with data architects or analytics platforms.

? 23 days of paid vacation leave;

? Six additional days of undocumented sick leaves;

? Medical Insurance;

? Birthdays, milestones and employee anniversaries celebrations;

? Modern offices with snacks and all the essentials;

? Social Club and more than 50 events per year;

? Partial coverage of breakfasts and lunches;

? Learning and development opportunities and interesting, challenging tasks

️ Relocation package (tickets, staying in a hotel for up to 2 weeks, and visa relocation support for our employees and their family members);

? Opportunity to develop language skills, with partial compensation for the cost of English;

? Competitive remuneration level with annual review;

? Teambuilding activities.