Data Analyst

Adecco
London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst- Celonis Experience

Job Title: Data Analyst Duration: 12 months, extensions likely Location: London/Hybrid (three days per week in the office requirement)Salary: £200 per day PAYE Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.Are you ready to embark on an exciting journey in the world of rewards and benefits? Our client, a leading organisation in the banking industry, is seeking a motivated and detail-oriented Reward Administrator to join their dynamic HR team. This is a unique opportunity to gain in-depth experience in a complex regulated environment while working alongside industry experts!What You'll Do:As a Reward Administrator, you will play a vital role in supporting the EMEA Reward Team, which oversees compensation and performance processes for over 3000 employees across 17 locations. Your responsibilities will include:Performance and Reward:Assisting with the implementation of the annual performance cycle.Coordinating projects across teams and collaborating with the HR Technology team.Supporting the management of deferred compensation, including processing joiners, leavers, and payments.Managing MRT attestations and cross-border mobility cases as needed.Benefits Management:Handling various data processes for the benefits team.Reconciling and approving vendor invoices and processing monthly DB contributions.Managing contracts and vendor relationships.Addressing employee queries related to pensions, benefits, performance, and compensation matters.Who You Are:A proactive individual with strong Excel and Macro's skills.Excellent written and verbal communication abilities.Recent graduates are encouraged to apply, training will be provided!Why Join Us?Hybrid Working: Enjoy a flexible work environment that balances remote and in-office work.Professional Growth: Gain valuable insights into the rewards and compensation landscape.Supportive Team: Work alongside a talented team dedicated to making a difference.Vibrant Workplace: Join a dynamic culture that values collaboration and innovation.If you're enthusiastic about building a rewarding career in HR and eager to contribute to a thriving organisation, we want to hear from you!How to Apply:To apply for this opportunity, please apply with an up-to-date CV. Candidates should ideally demonstrate evidence of the above responsibilities in their CV to be considered.Please note that if you haven't heard from us within 48 hours, your application may not have been successful on this occasion. However, we may keep your details on file for future vacancies and contact you accordingly.Adecco acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. The Adecco Group UK & Ireland is an Equal Opportunities Employer.By applying for this role your details will be submitted to Adecco. Our Candidate Privacy Information Statement explains how we will use your information - please copy and paste the following link in to your browser

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 AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

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

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.