Interim Commissions Analyst

Reading
2 weeks ago
Applications closed

Related Jobs

View all jobs

Interim Head of Data & Analytics

Interim HR Data Analyst / Cleanser

Program Manager

UX Designer (AI)

Data Analyst

Econometrician / Data Scientist

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

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Quantum-Enhanced Machine Learning—Propelling AI into the Next Frontier

Machine learning (ML) has revolutionised how we interpret data, build predictive models, and create intelligent applications. From recommendation engines and self-driving cars to advanced genomics and natural language processing, ML solutions are integral to nearly every corner of modern life. However, as data complexity and model size continue to skyrocket, the computational demands placed on ML systems grow in tandem—often pushing even high-performance classical computers to their limits. In recent years, quantum computing has emerged as a tantalising solution to these challenges. Unlike traditional digital systems, quantum computers exploit quantum mechanics—superposition and entanglement—to process information in ways that defy conventional logic. As these machines mature, they promise exponential speed-ups for certain tasks, potentially reshaping how we approach AI and data-intensive challenges. What does this mean for machine learning? Enter quantum-enhanced ML, a new frontier where quantum processors and classical ML frameworks unite to accelerate model training, tackle high-dimensional data, and solve complex optimisation tasks more efficiently. In this article, we will: Unpack the current state of machine learning, highlighting key bottlenecks. Provide a concise overview of quantum computing—why it’s radical and how it differs from classical technology. Examine potential breakthroughs in quantum-enhanced ML, including real-world use cases and technical approaches. Explore the roles and skill sets that will define this quantum-AI era, with guidance on how to prepare. Discuss the roadblocks (like hardware maturity and ethical concerns) and how they might be addressed in the years to come. If you’re a machine learning engineer, data scientist, or simply an AI enthusiast fascinated by the next wave of computational innovation, read on—quantum computing could become an integral part of your future toolkit, opening up job opportunities and reimagining what ML can achieve.

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!