CargoWise Master Data Analyst

Metro
Birmingham
3 weeks ago
Create job alert

Metro Birmingham, England, United Kingdom

Metro Birmingham, England, United Kingdom

Get AI-powered advice on this job and more exclusive features.

Direct message the job poster from Metro

Powered by industry-leading Metro technology, Metro deliver import/export air, ocean and road freight forwarding, supply chain management, logistics and specialised services in retail, manufacturing and chemicals.

At Metro, its our innovative technologies, pushing of boundaries, and most importantly, our employees that sets us apart.

We are seeking an experienced CargoWise Master Data Analyst to oversee the management and governance of Master Data within our CargoWise freight forwarding software system. The ideal candidate will ensure data integrity, accuracy, and consistency to support our operational efficiency and decision-making processes. Candidates will be joining a strong technical team of four focused individuals and contribute to a collective focus of maximising the optimisation and usage of CargoWise.

Key Accountabilities and Responsibilities:

  • Master Data Governance: Establish and enforce policies and procedures for managing Master Data in CargoWise.
  • Data Quality Management: Monitor and ensure the accuracy, completeness, and reliability of Master Data; implement data cleansing and validation processes. Undertake data entry tasks as and when required.
  • Data Integration: Collaborate with IT and operations teams to design, implement, and optimise data integration workflows between CargoWise and other enterprise systems.
  • Training and Support: Provide training and support to users on Master Data management best practices and the effective use of CargoWise features.
  • Reporting and Analytics: Develop and maintain reporting tools and dashboards to track Master Data performance metrics and inform decision-making.
  • System Optimisation: Identify opportunities for process improvements within the CargoWise platform to enhance Master Data management efficiencies.
  • Cross-Functional Collaboration: Work closely with freight operations, finance, and compliance teams to align Master Data requirements with business objectives. Act as the primary point of contact for day-to-day Master Data end users (colleagues) for their area of the business providing support for queries and issues, ensuring timely resolution and escalation when necessary.
  • Project Management: Lead or participate in data-related projects, ensuring alignment with organisational goals and effective execution.
  • Research & Project Support: Conduct thorough research on project-related information and compile concise advisor summaries and notes for distribution. Where required reach out to relevant external helpdesks to address any inquiries or concerns pertinent to the project.
  • Proven experience in data management and governance, preferably within the freight forwarding or logistics sector.
  • Understanding of Company Structures and a general awareness of how commercial organisations operate
  • Proactive in approach to the practical implementation of data governance practices
  • Experience of navigating ambiguous situations, displaying strong problem solving and analytical skills with the ability to assess complex information, identify key issues and support the reporting of data risks.
  • IT literate, MS Office applications.
  • Proficiency in CargoWise software including modules: Organisations, Contacts, All Reference Files (Shipping Lines and Airlines & Vessel Lists), International Zones, Consolidations, Shipments, Customs Declarations, Transport Bookings, Running Reports, Reports and Contact, (preferred)
  • Experience with other ERP or logistics systems is a plus e.g. Descartes MacroPoint, SAP Integrated Business Planning, Oracle Supply Chain Management (SCM) Cloud, and Descartes Aljex.
  • Experience within Freight Forwarding Industry

Education/Qualification:

  • Candidates will be considered equally on experience and qualification.
  • CargoWise Certified Professional (CCP) preferred

Profile:

  • Strong analytical skills and attention to detail, with a data-driven mindset.
  • Excellent communication and interpersonal skills, with the ability to collaborate across departments and at all levels across the organisation including board level.
  • Ability to consider the impact across the whole business of any changes to Master Data and related processes.
  • Familiarity with data modelling concepts and best practices.
  • Strong organisational and time management skills and the ability to manage multiple priorities effectively
  • Willingness to learn and develop.
  • Have a professional, flexible, and personable approach.
  • Ability to think critically and objectively.
  • Ability to take a logical approach to fault finding and problem resolution.
  • Demonstratable experience of ‘getting things done’ and ‘can do’ attitude.

Why choose Metro?

  • Competitive salary including a bonus paid twice a year!
  • Access to our benefits, discounts and wellness platform including offers on gym memberships, a wide range of restaurants, retail and much more.
  • Health cash plan.
  • Octopus Electric Vehicle car scheme.
  • Respectful working environment.
  • Plenty of opportunities for training and development

Seniority level

  • Seniority levelNot Applicable

Employment type

  • Employment typeFull-time

Job function

  • Job functionOther
  • IndustriesTransportation, Logistics, Supply Chain and Storage

Referrals increase your chances of interviewing at Metro by 2x

Get notified about new Master Data Analyst jobs in Birmingham, England, United Kingdom.

Data Migration Business Analyst (ETL, SQL)

Walsall, England, United Kingdom 1 week ago

Warwick, England, United Kingdom 1 day ago

Walsall, England, United Kingdom 1 week ago

Coventry, England, United Kingdom 2 weeks ago

Birmingham, England, United Kingdom 3 days ago

Coventry, England, United Kingdom 2 weeks ago

Birmingham, England, United Kingdom 1 week ago

Data and Business Analyst Apprenticeship Trainer

Birmingham, England, United Kingdom 18 hours ago

Birmingham, England, United Kingdom 1 week ago

Birmingham, England, United Kingdom 4 days ago

Warwick, England, United Kingdom 3 weeks ago

Birmingham, England, United Kingdom 20 hours ago

Birmingham, England, United Kingdom 1 week ago

Bromsgrove, England, United Kingdom 2 weeks ago

Royal Leamington Spa, England, United Kingdom 5 days ago

Walsall, England, United Kingdom 1 week ago

Birmingham, England, United Kingdom 1 day ago

Walsall, England, United Kingdom 1 week ago

Birmingham, England, United Kingdom 2 weeks ago

Kidderminster, England, United Kingdom 3 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.