Chapman Tate Associates

Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst with 12 months contract, remote (UK-based), day rate DOE. Requires experience in transportation/logistics, strong skills in Power BI, SQL, Excel, and scripting (Python/R), plus ability to communicate complex data clearly.
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
October 14, 2025
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Remote
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πŸ“„ - Contract
Outside IR35
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
England, United Kingdom
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🧠 - Skills detailed
#Scripting #Data Analysis #Data Storytelling #Microsoft Power BI #SQL (Structured Query Language) #R #Datasets #Python #Storytelling #Data Quality #BI (Business Intelligence)
Role 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 β€’ Proven experience as a Data Analyst in transportation, logistics, freight. β€’ Strong skills in Power BI, SQL, Excel, and at least one scripting language (e.g. Python or R) β€’ Experience working with datasets from WMS, TMS, ERP, or fleet management systems β€’ Strong communication skills and ability to explain complex data clearly β€’ Comfortable working independently in a remote-first environment Key Responsibilities β€’ Develop dashboards and reports to monitor KPIs across transportation, warehousing, and fleet operations β€’ Clean, model, and analyse logistics data (e.g. routing, deliveries, delays, fuel usage, etc.) β€’ Support decision-making through actionable insights and data storytelling β€’ Collaborate with business stakeholders to gather reporting requirements β€’ Identify data quality issues and recommend solutions β€’ 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.