❗️IMPORTANT: This position is on-site in Valencia, Spain.
❗️We can provide relocation assistance if you're outside of the city or country.
✅ Requirements
- 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.
- 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.
✔ 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.
- 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.
- 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.
- 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.
- 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.
- 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.
🌴 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.
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