Data Analyst/Reporting & Analytics Engineer

Hamilton Barnes
Warwick Civil Parish, United Kingdom
2 days ago

Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 130K

Job location

Warwick Civil Parish, United Kingdom

Tech stack

Adaptable Database Systems
Artificial Intelligence
Business Analytics Applications
Azure
Data Architecture
Data Governance
Data Integration
ETL
Python
Performance Tuning
Power BI
Standard Sql
Azure
Snowflake
Microsoft Fabric
Machine Learning Operations
Data Pipelines

Job description

Location: Warwick (Hybrid - 3 days onsite)

Contract: 6 months Rate: £500 per day

We are looking for an experienced Data Analyst/Reporting & Analytics Engineer to support the delivery of modern, scalable data solutions. You will work with tools such as Power BI, Snowflake, and Azure to enable data-driven decision-making and self-service analytics across the business.

Key Responsibilities

  • Design and maintain scalable data models (warehouse, lakehouse, data fabric)
  • Develop Power BI dashboards, datasets, and reports aligned to business KPIs
  • Build and optimise ETL/ELT pipelines and data integration processes
  • Support data architecture using Snowflake and Azure services
  • Apply Data Fabric and Data Product principles
  • Implement data governance, quality, and metadata practices
  • Work with stakeholders to translate business needs into technical solutions

Required Skills

  • Strong Power BI experience (data modelling, DAX, performance tuning)
  • Hands-on experience with Snowflake or similar platforms
  • Azure data services knowledge (eg Data Factory, Data Fabric)
  • Strong SQL and Python (or similar)
  • Experience with ETL/ELT and modern data architectures

Desirable

  • DataOps.live or similar tools
  • Exposure to Promethium or similar platforms
  • Experience with AI/ML integration

Requirements

  • Strong Power BI experience (data modelling, DAX, performance tuning)
  • Hands-on experience with Snowflake or similar platforms
  • Azure data services knowledge (eg Data Factory, Data Fabric)
  • Strong SQL and Python (or similar)
  • Experience with ETL/ELT and modern data architectures

Desirable

  • DataOps.live or similar tools
  • Exposure to Promethium or similar platforms
  • Experience with AI/ML integration

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