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Data Analyst (Analytics Engineer)

💼 Full-time🗓 2026-06-06 → 2026-07-31

Core

Build scalable, reliable, and well-governed data products using modern analytics engineering practices, focusing on data modeling, transformation, and pipeline development to enable self-service analytics.

Role type

Analytics Engineer (Data Engineering)

Builds

Robust datasets, semantic models, and automated ELT pipelines for downstream analytics consumption

Domain

Cloud data platforms and analytics engineering

Deliverable

production ML models | product features

Required skills

SQL, dbt, dimensional modelling, semantic layer design, ELT processes, data quality and governance, pipeline development, cloud data platforms (Snowflake)

Preferred skills

Power BI integration, metadata extraction, automation, version control, testing frameworks

Technologies

Snowflake, dbt, SQL, Power BI

Responsibilities

Build scalable data models and transformation layers; Design and develop reusable, well-structured data models; Build data transformation workflows using modern tools; Develop and operate data pipelines; Create and maintain automated ELT pipelines; Implement testing frameworks to ensure data accuracy; Enable downstream analytics (Power BI); Collaborate with analysts and stakeholders to understand data needs and deliver solutions

Seniority

Mid-level, hands-on IC

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