Data Analyst

Chapman Tate Associates; England; Remote; GBP 80,000 - 100,000; Full time

Job summary

A specialist recruitment agency is seeking an experienced Data Analyst for a remote role based in the UK. The ideal candidate will have a strong background in transportation and logistics, focusing on improving supply chain visibility and fleet performance. You will work independently, developing insights from logistics data and collaborating with cross-functional teams. Skills in Power BI, SQL, Excel, and at least one scripting language are required.

Qualifications

• Proven experience as a Data Analyst in transportation, logistics, freight.
• Strong skills in Power BI, SQL, Excel, and at least one scripting language (e.g. Python or R).
• Experience working with datasets from WMS, TMS, ERP, or fleet management systems.

Responsibilities

• Develop dashboards and reports to monitor KPIs across transportation, warehousing, and fleet operations.
• Clean, model, and analyse logistics data.
• Support decision-making through actionable insights and data storytelling.

Skills

Data Analysis

Power BI

SQL

Excel

Python

R

Communication Skills

Tools

WMS

TMS

ERP

Fleet Management Systems

Job description

Remote (UK-based) | 12 Months | Outside IR35 | Day Rate: DOE

Chapman Tate is looking for an experienced Data Analyst with a strong background in the transportation and logistics sector to join a high-impact, fast-paced contract engagement. This role is ideal for someone who can bring deep industry insight into logistics data, operations, and performance reporting.

Overview

You’ll be supporting a strategic data initiative focused on improving supply chain visibility, fleet performance, and operational decision-making. You will work closely with cross-functional teams, using data to drive business-critical insights and actionable recommendations.

Must-Have Experience

• Proven experience as a Data Analyst in transportation, logistics, freight.
• Strong skills in Power BI, SQL, Excel, and at least one scripting language (e.g. Python or R)
• Experience working with datasets from WMS, TMS, ERP, or fleet management systems
• Strong communication skills and ability to explain complex data clearly
• Comfortable working independently in a remote-first environment

Key Responsibilities

• Develop dashboards and reports to monitor KPIs across transportation, warehousing, and fleet operations
• Clean, model, and analyse logistics data (e.g. routing, deliveries, delays, fuel usage, etc.)
• Support decision-making through actionable insights and data storytelling
• Collaborate with business stakeholders to gather reporting requirements
• Identify data quality issues and recommend solutions
• Present findings to senior management and non-technical audiences

How to apply?

To express your interest in this opportunity and to understand further details, please share your CV via the link.