Data Analyst
RedRock Resourcing
- London, England, United Kingdom
- London, England, United Kingdom
About
Base pay range Direct message the job poster from RedRock Resourcing
Business Development Team Lead at RedRock Consulting We’re supporting a global leader in data & analytics in their search for a
Data Analyst
to help shape and elevate enterprise reporting across the organisation. This is a high-impact role working within a modern
Medallion Architecture
in Azure, with full ownership of the business-ready data used for critical reporting and decision‑making.
You’ll design and maintain Power BI semantic models, build compelling visual reports, prepare curated datasets for AI‑driven experiences, and partner closely with data engineers and business stakeholders to drive intelligent, scalable analytics.
What You’ll Be Doing
Own and maintain the
Gold layer
of the Medallion Architecture, ensuring clean, trusted, high‑quality data for enterprise reporting.
Design, build, and maintain
Power BI reports
and
semantic models
using Power BI and Microsoft Fabric.
Develop sophisticated
DAX
calculations for KPIs, time intelligence, and advanced business logic.
Build and maintain
Fabric semantic models, dataflows, and transformations .
Translate business requirements into analytical specifications, KPIs, and measurable insights.
Prepare curated datasets optimised for
Fabric data agents , Copilot, and other AI capabilities.
Communicate insights using clear storytelling, visual design, and documentation.
Support the development of
Copilot‑driven
insights through high‑quality datasets and metadata.
What We’re Looking For
Strong background in data analysis, BI, or analytics roles.
Experience working with
Medallion Architecture , ideally owning Gold layer curation.
Performance tuning
Hands‑on experience with
Microsoft Fabric
(Lakehouse, Data Warehouse, dataflows, semantic models).
Python for analytical scripting and advanced stats.
Experience with AI‑enhanced tools (Copilot, AI Foundry, Fabric AI services).
Knowledge of data governance, metadata, and data quality frameworks.
Experience with forecasting, statistical modelling, or ML techniques.
If this is of interest and you’re looking to take your career to the next level with a global company, please get in touch!
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Information Technology
Industries Data Infrastructure and Analytics, Technology, Information and Media, and Information Services
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Languages
- English
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