At a Glance
- Tasks: Design and deliver a new reporting capability across various retail data sources.
- Company: Join a leading retail transformation programme with a focus on innovation.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Other info: Fast-paced environment with the chance to work independently and grow your career.
- Why this job: Make a real impact by building scalable reporting solutions using cutting-edge technology.
- Qualifications: Strong SQL skills and experience with BigQuery, Dataform, and Looker required.
The predicted salary is between 45000 - 55000 £ per year.
We are supporting a major retail reporting transformation programme and are looking for experienced contractor to help design and deliver a new reporting capability across sales, inventory, shipping, forecasting, and supply chain data.
The programme will build a scalable retail reporting solution using Google Cloud Platform, Big Query, Dataform, and Looker, bringing together multiple retailer and operational data sources into trusted models and dashboards for commercial and planning teams.
This role will help with the technical build of the reporting solution, covering data ingestion, modelling, semantic layers, and performance optimisation across the GCP stack.
Integrate and configure retailer POS, inventory, EDI, portal, shipping, forecast, and pricing data sources into GCP.
Build and maintain Dataform pipelines across raw, staging, and gold data layers.
Develop unified sales, inventory, and shipping models in Big Query.
Implement business logic including on-hand versus on-order stock, Weeks of Supply, forecast windows, and calendar alignment.
Optimise data models for Looker consumption, performance, reconciliation, and data quality.
Partner with BI, commercial, and planning teams to translate requirements into scalable data structures.
Experience required: Strong SQL and data modelling experience, hands‑on Big Query, Dataform, and Looker modelling skills, and ideally experience working with retail, supply chain, inventory, or forecasting datasets.
You will be comfortable working independently and delivering at pace within a fast-moving environment. #J-18808-Ljbffr
