Mid Level Data Analyst in Logistics Uk Resume Guide

Introduction

A mid-level data analyst in logistics plays a key role in interpreting complex supply chain data to optimize operations and reduce costs. Crafting an ATS-friendly resume for this role in 2025 involves highlighting your technical skills, analytical abilities, and logistics knowledge clearly to pass applicant tracking systems and attract recruiters. This guide provides practical advice on structuring your resume to stand out in the competitive UK logistics sector.

Who Is This For?

This guide is suited for candidates with 2-5 years of experience working as a data analyst within logistics, transportation, or supply chain sectors in the UK. Whether you're transitioning from a junior analyst role, returning after a career break, or switching industries to logistics, these tips help you tailor your resume effectively. It's ideal if you have some experience with logistics-specific data challenges but want to refine your presentation for higher-level roles.

Resume Format for Mid-Level Data Analyst in Logistics (2025)

Use a clear, logical layout with the following sections: Summary, Skills, Experience, Projects, Education, and Certifications. Prioritize a one-page resume unless you have extensive relevant experience or significant projects to showcase. Include a dedicated “Projects” or “Portfolio” section only if you have notable work samples or dashboards to demonstrate. Use bullet points for clarity and keep formatting simple—avoid tables, text boxes, or overly decorative layouts—so ATS can parse your content easily.

Role-Specific Skills & Keywords

• Logistics data analysis
• Supply chain analytics
• SQL, Python, R
• Data visualization (Tableau, Power BI)
• ERP systems (SAP, Oracle)
• Data cleansing & validation
• Forecasting and demand planning
• KPI tracking and reporting
• Process improvement methodologies (Lean, Six Sigma)
• Statistical analysis and modeling
• Cloud data platforms (Azure, AWS)
• Supply chain management software
• Strong problem-solving skills
• Communication skills for cross-team collaboration

Ensure these keywords appear naturally within your skills section, experience descriptions, and project summaries to align with ATS keyword matching.

Experience Bullets That Stand Out

• Analyzed logistics and inventory data to identify inefficiencies, leading to a ~12% reduction in delivery delays over 6 months.
• Developed and maintained dashboards in Power BI to track key supply chain KPIs, enabling real-time decision-making for logistics managers.
• Automated data collection processes using SQL scripts, decreasing report generation time by 30% and reducing manual errors.
• Collaborated with operations teams to implement a demand forecasting model, improving forecast accuracy by ~15%.
• Conducted root cause analysis on transportation costs, identifying opportunities to save ~£50K annually through route optimization.
• Led data cleaning initiatives that enhanced the accuracy of SAP logistics reports, supporting strategic planning.
• Presented analytical insights to senior stakeholders, influencing procurement strategies and inventory management.

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Common Mistakes (and Fixes)

• Vague summaries: Avoid generic phrases like “responsible for data analysis.” Instead, specify what you analyzed and the impact it had.
• Too dense paragraphs: Use bullet points for clarity, making your achievements quick to scan.
• Overusing jargon: Balance technical terms with plain language to ensure ATS and recruiters understand your skills.
• Inconsistent tense: Use past tense for previous roles and present tense for current responsibilities.
• Decorative formatting: Stick to simple fonts and layouts. Avoid excessive colors, graphics, or text boxes that can hinder ATS parsing.

ATS Tips You Shouldn't Skip

• Use a descriptive file name, e.g., Mid-Level_Data_Analyst_Logistics_2025.pdf.
• Label sections clearly with standard headers like “Skills,” “Experience,” “Education,” etc.
• Incorporate synonyms and related keywords, such as “supply chain analysis” and “logistics reporting,” to cover different ATS search terms.
• Maintain consistent formatting and spacing; avoid irregular indentation or font changes.
• Save your resume as a PDF or Word document compatible with ATS systems, following company application instructions.
• Regularly update your skills section with new tools or methodologies relevant in 2025, such as advanced analytics platforms or emerging supply chain tech.

Following these guidelines will help your resume be more ATS-friendly, making it easier for hiring managers in the UK logistics sector to find and evaluate your qualifications effectively.