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Operations Analyst

Job in Lancashire, Lancashire, England, UK
Listing for: Panda Ireland
Full Time position
Listed on 2026-09-14
Job specializations:
  • Business
    Business Intelligence, Data Analyst, Business Analyst
Salary/Wage Range or Industry Benchmark: 32000 - 48000 GBP Yearly GBP 32000.00 48000.00 YEAR
Job Description & How to Apply Below

Operations Analyst About The Role Operations Analyst

Reporting to:
Logistics Excellence Manager

The Role

As our Operations Analyst, you’ll turn operational data into clear, meaningful insight that supports better decisions across our waste management operations (transportation / logistics). You’ll extract and combine data from internal systems, analyse business performance and present your findings in a way that is easy for non-technical stakeholders to understand. Working closely with operational teams and managers, you’ll help identify trends, highlight opportunities for improvement and provide evidence-based answers to key business questions.

This is a hands‑on, data‑focused role for someone who enjoys working with numbers and can connect analysis to real operational and commercial outcomes. Joining Panda at an important stage of growth, you’ll help us move from data to insight—and from insight to action.

What You’ll Be Doing
  • Extracting, consolidating and analysing data from internal business systems
  • Working with large operational datasets to identify trends, patterns and performance issues
  • Translating complex information into clear and concise reports for non-technical stakeholders
  • Working with managers and operational teams to understand their reporting and information needs
  • Providing analysis to support operational, financial and strategic decision-making
  • Combining information from different systems to create a complete view of business performance
  • Responding to ad hoc requests and providing clear, evidence-based answers to business questions
  • Highlighting areas where performance, efficiency or service delivery could be improved
  • Contributing to the continued development of reporting and analytical capabilities across the department
What We’re Looking For
  • Previous experience in an Analytical or similar data-focused role
  • Experience in Logistics / Transportation (waste industry experience could be beneficial)
  • Strong analytical and problem-solving skills
  • Advanced Excel skills, including formulas, pivot tables and working with large datasets
  • Experience using Power BI or another business intelligence or reporting platform
  • The ability to explain data and findings clearly to a non-technical audience
  • Strong organisational and time‑management skills
  • The ability to prioritise competing requests and adapt in a fast‑paced environment
  • A positive, collaborative approach and a willingness to support continuous improvement
  • Commercial awareness and an understanding that effective analysis should lead to better business decisions
It Would Be an Advantage If You Have
  • Experience analysing large operational datasets
  • An understanding of customer service standards and service‑level expectations
  • Basic knowledge of health and safety requirements within a transport or depot environment
About You About Us

We’re in the business of waste management but that doesn’t just mean collecting bins. Behind every collection is a passionate team of people finding smarter, safer, and more sustainable ways to recycle and repurpose materials that would otherwise go to waste.

Over the past 30 years, Panda has grown into a leading resource recovery business, bringing together almost 3,000 people across multiple brands, united by a shared vision and strong values. While our operations are diverse, our purpose is clear: to protect our people, support our customers, and create positive impact for the communities and environments we serve.

At Panda,
people are at the heart of everything we do
. We work as one team, combining different skills, experiences, and perspectives to achieve shared goals. We care for each other’s wellbeing, encourage development, and support growth because we know we’re stronger together.

We expect excellence in how we operate
.…

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