National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Master Data Analyst

Chelmsley Wood
1 month ago
Applications closed

Related Jobs

View all jobs

Master Data Analyst (Hybrid)

Master Data Analyst with experience with financial data for retail organization to work on numerous initiatives

ERP Master Data Analyst

ERP Master Data Analyst

ERP Master Data Analyst

SAP Authorisation & Master data analyst

Purpose

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.

Page 1 of 2[IT & Technical Solutions]

• 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.

Desirable Knowledge, Skills

  • 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
National AI Awards 2025

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.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.