Part-Time Assistant Finance Manager

Shotton, County of Flintshire
8 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Principal Data Engineer

Data Engineer

Data Engineer

Part-Time Assistant Finance Manager (12 month FTC)
Location: Nr Chester
Hours: 22.5 hours per week (Flexible, but Mondays & Friday mornings are required)
About the Role
We are looking for a Part-Time Assistant Finance Manager to support the financial and performance monitoring of our clients logistics and supply chain operations. This role involves ensuring timely data collection, tracking fuel usage and fleet costs, and overseeing third-party storage and transport expenses.
This is a part-time position (22.5 hours per week) on a 12-month FTC, with flexible working hours, though Monday and Friday mornings are required.
Key Responsibilities
✅ Financial Data & Performance Monitoring:

  • Ensure all performance and financial inputs are received on time from third-party providers.
  • Monitor the accuracy and timeliness of data submissions.
  • Maintain and update key financial and performance files.
    ✅ Financial Reporting & Cost Control:
  • Assist in updating weekly financial performance data.
  • Support the Finance Manager in producing weekly cost reports and period accounts.
  • Independently report supply chain costs to the business.
  • Monitor and validate third-party storage, haulage, and inter-depot transfer costs.
  • Track fleet numbers and vehicle usage, providing insights for cost efficiency.
    ✅ Strategic Support & Collaboration:
  • Assist in budget preparation, forecasting, and depot charge reviews.
  • Maintain accurate cost records for strategic projects.
  • Provide general finance support across the supply chain function.
    What We’re Looking For
  • Advanced Excel skills (pivot tables, macros, data analysis)
  • Experience with SAP or other accounting software
  • Database & SQL knowledge (an advantage)
  • Strong analytical mindset and attention to detail
  • Ability to work to deadlines and manage multiple tasks
  • Confident in communicating with internal and external stakeholders
  • Experience in logistics and/or accounting is beneficial
    Why Join Us?
  • Flexible working arrangements
  • Opportunity to gain hands-on experience in finance & supply chain
  • Be part of a supportive and dynamic team
  • Outstanding benefits
    Salary is competitive and paid on a pro rata basis.
    Excellent Benefits
    New Ventures Recruitment is an equal opportunity employer and is acting as a recruitment agency about this vacancy

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.

Education

The Skills Gap in Data Engineering Jobs: What Universities Aren’t Teaching

Data engineering has quietly become one of the most critical roles in the modern technology stack. While data science and AI often receive the spotlight, data engineers are the professionals who design, build and maintain the systems that make data usable at scale. Across the UK, demand for data engineers continues to rise. Organisations in finance, retail, healthcare, government, media and technology all report difficulty hiring candidates with the right skills. Salaries remain strong, and experienced professionals are in short supply. Yet despite this demand, many graduates with degrees in computer science, data science or related disciplines struggle to secure data engineering roles. The reason is not academic ability. It is a persistent skills gap between university education and real-world data engineering work. This article explores that gap in depth: what universities teach well, what they consistently miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data engineering.

Jobs Careers

Data Engineering Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data engineering in your 30s, 40s or 50s? You’re not alone. In the UK, companies of all sizes — from fintechs to government agencies, retailers to healthcare providers — are building data teams to turn vast amounts of information into insight and value. That means demand for data engineering talent remains strong, but there’s a gap between media hype and the real pathways available to mid-career professionals. This guide gives you the straight UK reality check: which data engineering roles are genuinely open to career switchers, what skills employers actually look for, how long retraining really takes and how to position your experience for success.

Jobs

How to Write a Data Engineering Job Ad That Attracts the Right People

Data engineering is the backbone of modern data-driven organisations. From analytics and machine learning to business intelligence and real-time platforms, data engineers build the pipelines, platforms and infrastructure that make data usable at scale. Yet many employers struggle to attract the right data engineering candidates. Job adverts often generate high application volumes, but few applicants have the practical skills needed to build and maintain production-grade data systems. At the same time, experienced data engineers skip over adverts that feel vague, unrealistic or misaligned with real-world data engineering work. In most cases, the issue is not a shortage of talent — it is the quality and clarity of the job advert. Data engineers are pragmatic, technically rigorous and highly selective. A poorly written job ad signals immature data practices and unclear expectations. A well-written one signals strong engineering culture and serious intent. This guide explains how to write a data engineering job ad that attracts the right people, improves applicant quality and positions your organisation as a credible data employer.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.