Analytics Engineer

hace 6 días

Valencia, España BrainRocket A tiempo completo

❗️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.

✅ 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 .

✅ Responsibilities:

✔ 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.

✅ What We Offer:

23 days of paid vacation leave;

Six additional days of undocumented sick leaves;

Medical Insurance;

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