Role Overview
The Analytics Engineer Senior position consolidates scattered data across different business areas, structuring a single, reliable, and optimized data layer for portfolio analysis and product mix in the Google Cloud ecosystem.
What You Will Do
Raising, mapping, and consolidating databases from different areas into structured models in BigQuery, building and maintaining data analytics pipelines, and performing in-depth portfolio and product mix analysis.
Why It Might Be a Fit
The role requires practical experience with portfolio analysis, product mix, assortment, or promotional campaigns, knowledge of experimentation methodologies, and experience with Looker Studio.
Requirements
- Proven experience in the data area, integrating engineering and analytical analysis fronts.
- Advanced knowledge in SQL for processing large volumes and analytical data modeling.
- Experience in production with Google BigQuery, including good practices in modeling, query optimization, and cost control.
- Experience with Looker and LookML, including data modeling, explore development, and business metric definition.
- Experience in building and sustaining data pipelines in the Google Cloud environment (Dataflow, Dataform, or related tools).
- Practical knowledge of data architecture in layers (Medallion) and code versioning with Git.
- Proficiency in Python for data manipulation, transformation, and analysis.
- Direct interaction experience with business areas, translating analytical requirements into data models and actionable insights.
- Experience or knowledge of the retail or consumer goods segment.
To apply for this job please visit brq.inhire.app.
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