Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Interim Commissions Analyst

Reading
7 months ago
Applications closed

Related Jobs

View all jobs

Market Research - Data Analyst

MetaData Analyst

Contract Metadata Analyst - £600/day (Inside IR35)

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.

Jobs

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

🍪 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.