Logistics Data & Process Improvement Analyst

Reconomy; Shrewsbury; Hybrid; GBP 30,000 - 33,000; Full time

Benefits offered by this job

Hybrid working model

Two fully paid days off each year for정

Up to 10 additional holidays

Job summary

ReBound - a Reconomy Group Company is seeking a proactive Orchestration & Logistics Analyst to turn raw operational data into clear insights that guide where to invest and what to change across a global logistics network.

You will work on cost and network modelling, KPI reporting and automation ideas, collaborating with BI teams and other departments to drive data‑driven change and business improvement.

Qualifications

• Bachelor’s degree in Data Analytics, Engineering, Logistics or Operations Management.
• Experience in logistics or warehousing is a plus.
• Advanced Excel with graphical representations of data.
• Experience with Tableau or Power BI visualisations is a bonus.
• Familiarity with DMAIC, Lean, process mapping and RCAs.

Responsibilities

• Support analytics projects to inform high‑stakes change decisions in operations.
• Perform cost and network modelling, KPI reporting and trend analysis.
• Identify data issues and opportunities, proposing improvements.
• Collaborate with BI teams to standardise reporting and metrics.
• Identify automation and AI opportunities to digitise processes.
• Drive data‑driven ideas and help implement with other teams using DMAIC/Lean.
• Build cross‑department partnerships and share expertise.

Skills

Excellent analytical skills

Strong collaboration

Fast learner

Detail‑focused

Team player

Education

Bachelor’s degree in Data Analytics or related field

Engineering/Logistics/Operations Management background

Tools

Excel

Tableau

Power BI

DMAIC/Lean

Job description

ReBound - a Reconomy Group Company is seeking a proactive Orchestration & Logistics Analyst to turn raw operational data into clear insights that guide where to invest and what to change across a global logistics network.

You will work on cost and network modelling, KPI reporting and automation ideas, collaborating with BI teams and other departments to drive data‑driven change and business improvement.