French Payroll Analyst (French Speaking)

Stats Perform
London
6 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist - French speaking

Head of Commercial Analysis and Reporting

Business Development Manager (Staffing Solutions)

Business Development Manager (Staffing Solutions)

Accounts Assistant

Lead Data Scientist

Overview: 

Stats Perform is the market leader in sports tech. We provide the richest and most trusted sports data available and are at the forefront of the latest advancements in AI and machine learning to turn this data into something magic.

We entwine our extensive back-catalogue of data in with innovative products and machine-learning to deliver insights, predictions, and super-fast data for a variety of sporting organisations worldwide, plus the biggest names in media and broadcast.

We partner with top-flight teams, leagues, coaches, betting companies, broadcasters, media outlets, gaming specialists and professional bodies to improve the overall experience for sports fans. We constantly collect the most detailed sports data to enhance a wide range of sports competitions, from tennis to soccer to basketball and more. Stats Perform is the knowledge bank behind it all.

But data and technology is only half of the package. We need great people to fuel the engine. And that’s where you come in… 

As aFrench Payroll Analyst (French Speaking)within our Global Payroll Team, you’ll manage the French payroll vendor relationships and HRSS to Payroll workflows to deliver accurate and timely payroll services to our colleagues across France, ensuring compliance with local legal and regulatory standards. 

You’ll also play a key role in driving ongoing improvement and transformation initiatives, a perfect opportunity to grow and develop your skills with us. 

Overview of Responsibilities: 

Responsible for the end-to-end processing of international payrolls (imports, data keying into ADP Workforce Now and Celergo payroll systems, fixed & variable changes, manual calculations, reports, reconciliations Maintaining accurate payroll records  Work with external payroll partners and manage the process and resulting queries throughout the payroll cycle  Ensure all tax year end processes and annual filings such as those relating to benefits in kind are submitted efficiently and in advance of the statutory deadlines  Initiate payment to employees, local authorities and third parties as necessary  Deal with day-to-day payroll inbox queries in a prompt and professional manner  Stakeholder management, ensure the wider HR team, Finance, Payments team and Business Unit Managers feel supported in relation to payroll related queries Build effective working relationships and credibility with all key stakeholders within the business and third-party providers  Ensure all data is managed and maintained in accordance with the Data Protection regulations (GDPR)  Provide support, coaching and mentorship to junior team members 

Required Qualifications:  

CIPP or Global/European equivalent  Knowledge of French payroll legislation and employment laws, practices and procedures  3 years in payroll Ability to speak French and English 

Desired Qualifications: 

Bachelor's degree in Accounting, Finance, or HR (or other relevant area)  Experience of EMEA payrolls and their respective legislation for the countries. Other country experience also welcome. Ability to multi-task and deliver accurate results in a fast-paced environment  Strong Excel skills  Excellent attention to detail  Excellent communication and interpersonal skills  Good team working skills with ability to work independently and as part of a wider global team  Strong financial skills and knowledge, including basic understanding of balance sheet and budgeting  Working knowledge of ADP Celergo and Oracle preferred  Experience of working through change 

Why work at Stats Perform? 

Well, why not? We’re a unique organization with a unique culture of care, competition and collaboration. Our ‘One Team’ ethos means that we take care of each other, through initiatives such as Mental Health Days Off and ‘No Meeting Fridays’ and of course, flexible working.

We pull together to build a better environment for all – from volunteering activities to fundraisers to participating in Employee Resource Groups. We will embrace all you have to offer at Stats Perform – your ideas, your passion, your life experiences and in return we’ll give you a great place to work.

Diversity, Equity and Inclusion at Stats Perform 

By joining Stats Perform, you'll be part of a team that celebrates diversity. You will be contributing to an organization that is committed to ensuring a sense of belonging and inclusivity is felt by all. We’re collectively responsible for creating and maintaining an inclusive environment, and that’s why our Diversity, Equity, and Inclusion goals underpin our core values. With increased diversity comes increased innovation, more creativity and ensures we’re best placed to serve our clients and our communities, so we will continue to seek diversity and equity in all we do.

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.

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

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.