Interim Commissions Analyst

Reading
9 months ago
Applications closed

Related Jobs

View all jobs

Product Performance and Data Scientist

FMCG Data Scientist — Product Performance & Insights

ML Data Scientist (Probabilistic Graphical Models)

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.

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.

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

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

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

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.