Analytics Engineer (Mid) — AI-Ready Data Models, Remote

XIMAD; All Cannings; A distancia; GBP 50.000 - 70.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work

Bonuses based on KPIs

Training and conferences

Flexible hours

Global project exposure

Descripción de la vacante

ZiMAD is seeking an Analytics Engineer (Middle) to own the modeling layer behind reporting, ad-hoc analysis, and AI-driven tools. You will shape data marts, metric semantics, and the semantic layer for reliable decision-making across UA, monetization, and LiveOps.

You will collaborate with product and analytics teams while optimizing ClickHouse performance and maintaining data quality. This remote, full-time role offers global scope and opportunities for growth.

Formación

• 2+ years in analytics engineering, BI development, data analysis or data engineering.
• Strong SQL: joins, window functions, aggregations, and reading/debugging queries.
• Hands-on experience with ClickHouse: MergeTree engines, ORDER BY and partition keys, arrays.
• Experience with analytical data modeling: table structure and grain for queries, incremental, reliable models.
• English proficiency at the B1–B2 level.

Responsabilidades

• Build and maintain reliable data marts for UA, monetization, product and LiveOps teams.
• Prepare data models usable by people and AI agents.
• Maintain core metric definitions with the team for trusted numbers.
• Monitor data quality with tests, freshness checks and comparisons to raw data.
• Optimize ClickHouse query performance.

Conocimientos

SQL proficiency

Data modeling

Analytical mindset

English (B1–B2)

Herramientas

ClickHouse

dbt

Superset

Descripción del empleo

ZiMAD is seeking an Analytics Engineer (Middle) to own the modeling layer behind reporting, ad-hoc analysis, and AI-driven tools. You will shape data marts, metric semantics, and the semantic layer for reliable decision-making across UA, monetization, and LiveOps.

You will collaborate with product and analytics teams while optimizing ClickHouse performance and maintaining data quality. This remote, full-time role offers global scope and opportunities for growth.