Data Analyst

Dynamic Search Solutions
Liverpool, United Kingdom
4 days ago

Role details

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

Job location

Remote
Liverpool, United Kingdom

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Business Analytics Applications
Data analysis
Azure
Data Governance
Python
Power BI
SQL Databases
Snowflake
Data Management
Databricks

Job description

  • Support the shift from traditional BI to a modern, AI-ready analytics platform
  • Design and deliver Power BI dashboards focused on trends, forecasting, and operational insight rather than historic reporting
  • Work with stakeholders across operations, finance, and technology to understand data challenges and define analytics solutions
  • Transform, model, and optimise data to improve quality, consistency, and usability
  • Enable predictive and proactive analytics to support demand planning, performance forecasting, and decision-making
  • Collaborate with data engineers and AI specialists to ensure analytics outputs are scalable and future-proof
  • Contribute to best practices around data governance and data quality

Requirements

  • Proven experience as a Data Analyst on transformation-led programmes
  • Strong experience moving organisations away from reactive BI towards proactive, insight-driven analytics
  • Advanced Power BI experience (DAX, data modelling, performance optimisation)
  • Strong SQL skills with experience handling large, complex datasets
  • Experience supporting or enabling forecasting, predictive analytics, or AI use cases
  • Excellent stakeholder engagement and communication skills
  • Comfortable working autonomously in a contract environment

Desirable / Nice to Have

  • Experience with cloud data platforms (Azure, Snowflake, Databricks, AWS, etc.)
  • Exposure to Python or R for data analysis or advanced analytics
  • Experience working in logistics, supply chain, or similar operational environments
  • Understanding of data governance and data quality frameworks

About the company

A leading logistics organisation is embarking on a major data and analytics transformation, moving away from traditional, reactive BI reporting towards a modern, AI-driven and insight-led analytics capability.

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