Logistics Analysts x 2

Dunball
3 days ago
Create job alert

Location: Somerset Energy & Innovation Centre, Bridgwater
Status: Contract (Renewable) – INSIDE IR35
Reports to: Senior Logistics Planning Manager

Morson Talent are working with a major player in the Energy Sector who have a current requirement for Logistics Analysts (2 headcount) to join their Project team, based Bridgwater - Somerset. These are (renewable) CONTRACT positions – Inside IR35. All work is associated with the delivery of a major energy infrastructure Project currently under construction in Somerset.

Job Purpose / Overview

The Logistics team delivers overarching command and control as well as acting as a centre of excellence for the end-to-end logistics process at Site. They are the intelligent owners of the logistics process and strategy, operating as an integrated enabler for the successful delivery of the construction project
This role will involve working within the Logistics Planning Team, which is the sub-division of the Logistics Function
Logistics Analysts will work within the Logistics Function and across parts of site construction projects, following the Logistics strategy uniformly across the project.
They will work with other members of the Logistics Planning, supporting the implementation of Logistics Planning specific processes and framework.
They role will be accountable for providing visibility of Logistics Planning performance through management of Logistics reporting dashboards.
They will support the Logistics Operations Capacity Lead and the Construction Logistics Capacity Lead with insights on planning performance.
Principal Accountabilities (not limited to):
Team:

Work closely with the Senior Logistics Planning Manager to support Logistics planning related activities
Support the coordination of data inputs from third-party logistics (3PL) systems and data gathering of partner managed reporting and KPIs as needed
Review information to support the identification of key risks to project delivery
Deliver clear and concise insights to support robust decision-making utilising commercial and technical information to influence decisions
Ability to effectively collaborate with colleagues within and across organisational boundaries to achieve mutually successful outcomes
Provide office services such as reprographics, scanning, filling, binding etc
Arrange meetings, co-ordinate the booking of meeting rooms, and take minutes
Core Processes:

Support the Senior Logistics Planning Manager with consolidation of data for Logistics Planning, and analytics for constraints identification and Logistics Planning KPI reporting
Support the Senior Logistics Planning Manager with securing data inputs for Logistics Planning, including following up with stakeholders
Support the Senior Logistics Planning Manager in the analysis and interpretation of data related to Logistics planning or other analytics needed (incl. in analysing trends within the Project and identify areas of risk and opportunities within Logistics)
Support the Senior Logistics Planning Manager in the preparation and presentation of reports and findings to internal stakeholders
Conduct impact analysis to assess effects of changes in Logistics Operations resulting from ongoing initiatives
Contribute to the relevant Logistics governance forums to highlight Logistics planning related risk and issues
Coordinate tasks, actions and information between stakeholders to ensure alignment of objectives and support continuous improvement
Follow the use of Project governance and Logistics standards and procedures
Ensure all Project documents, in particular Sensitive Nuclear Information, are correctly protectively marked, and protected in accordance with business policies and procedures
Functional Management:

Support internal stakeholders with aggregating key performance data for tactical forums
Coordinate actions to ensure transparent flow of information across different forums
Compile logistics analysis to support the Senior Logistics Planning Manager to define key insights to inform recommendations for forums
Support business case development for Logistics initiatives and projects and escalates for budget approval
Support Logistics performance continuous improvement by implementing best practice and learning
Criteria
Knowledge & Skills

Ability to deliver accurate and concise project insights utilising commercial and technical information
Ability to communicate a range of issues and concepts, to both technical and non-technical audiences
Ability to effectively engage and collaborate with colleagues within and across organisational boundaries to achieve mutually successful outcomes
Entry Level analytical, critical thinking and problem-solving skills
Knowledge of relevant logistics function, including inventory management, supply chain planning, and transport management
Qualifications & Experience

Exposure of working in a high-paced & operational environment within a complex, highly regulated industry (ideally nuclear, aerospace, engineering, or energy)
Preferred experience in logistics and major project delivery
May be working towards a qualification in Engineering, Construction, Quantity Surveying or other related fields
Key Competencies

Ability to deliver defined packages of work
Ability to work independently and within teams, understanding role and contribution and prioritising workload
Ability to communicate with peers and wider Logistics / Planning team
Ability to present information and report outcomes
Data interpretation, analytics and management
Ability to ask questions and seek clarification
Attention to detail to ensure accuracy of outputs
Tools and Software
The jobholder will be expected to potentially to use the following (or similar equivalent) software tools:

Warehouse Management System WMS
Power BI (Business Intelligence Analytics)
Microsoft Office software (Excel, Word, PowerPoint, Access)
Storage capacity and inventory system

Related Jobs

View all jobs

Data Engineers

Head of Data Analytics

Software Implementation Manager

Snr Data Engineer

Data Scientist

Lead Portfolio Pricing Analyst (Motor)

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Best UK Universities for Data Science Degrees (2025 Guide)

Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.

Veterans in Data Science: A Military‑to‑Civilian Pathway into Analytical Careers

Introduction The UK Government’s National AI Strategy projects that data‑driven innovation could add £630 billion to the economy by 2035. Employers across healthcare, defence, and fintech are scrambling for professionals who can turn raw data into actionable insights. In 2024 alone, job‑tracker Adzuna recorded a 42 % year‑on‑year rise in data‑science vacancies, with average advertised salaries surpassing £65k. For veterans, that talent drought is a golden opportunity. Whether you plotted artillery trajectories, decrypted enemy comms, or managed aircraft engine logs, you have already practised the fundamentals of hypothesis‑driven analysis and statistical rigour. This guide explains how to translate your military experience into civilian data‑science language, leverage Ministry of Defence (MoD) transition programmes, and land a rewarding role building predictive models that solve real‑world problems. Quick Win: Take a peek at our live Junior Data Scientist roles to see who’s hiring this week.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.