Interim Commissions Analyst

Reading
11 months ago
Applications closed

Interim Commissions Analyst

3-4 months (with potential for permanent opportunities available, subject to sign-off)

£200 - £225pd + holiday pay

2 days working from home, 3 days in the office - Reading outskirts based (free parking, modern offices, near all public transport routes)

We are delighted to be chosen to support one of our key clients, with an urgent interim requirement, initially for 3-4 months. This is a key role that sits in their finance team, for this global organisation, who take immense pride in their products and solutions.

Sitting in the heart of their finance team, you will be ideally available at short notice to start this role, be a UK resident, and be able to offer recent commissions experience. This role will be supporting both the US and UK finance teams.

Key Responsibilities for the successful Commissions Data Analyst:

Own the end-to-end commissions process and commissions forecasting, ensuring accuracy, timeliness, and alignment with their practices
Act as a Business Partner with Commercial Ops, Field Sales, HR, and Finance teams to automate manual processes and streamline data workflows
Develop and maintain dashboards and reports to increase transparency and enable data-driven decision-making
Support EU fleet program by deploying and enforcing policies, managing fleet logistics, data management and generating performance insights
Collaborate cross-functionally to ensure data consistency and system integration between regions
Ensure company compliance with local laws and regulations
Provide backup coverage and support for NA commissions as neededRequired Qualifications:

Bachelor's degree, or higher, in Finance, Business Analytics, Data Science, or a related field
Possibly you will be Certified Compensation Professional (CCP) or similar (but not essential)
3+ years proven experience in finance operations, commissions, or compensation analytics.
Strong analytical and technical skills with demonstrated proficiency in Python, Power BI, SQL, SalesForce or similar CRM, Oracle or similar ERP, commissions applications software, MS Office Suite.
Experience with finance automation tools and process improvement initiatives.Please do get in touch for further information on this superb interim role.

At Gleeson Recruitment Group, we embrace inclusivity and welcome applicants of all backgrounds, experiences, and abilities. We are proud to be a disability confident employer.

By applying you will be registered as a candidate with Gleeson Recruitment Limited. Our Privacy Policy is available on our website and explains how we will use your data

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.

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.