Data Analyst

Reigate
3 weeks ago
Create job alert

Data Analyst

Location: Reigate, Surrey (Flexible/Hybrid options available)
Contract Type: Permanent
Salary: £33,000 - £42,000 per annum, depending on experience

Are you a data enthusiast with a passion for turning numbers into actionable insights? Do you have a knack for managing teams and ensuring the highest quality of data? If so, we have an exciting opportunity for you!

The Role
As Data Team Lead, you will play a pivotal role in managing our talented team of Data Analysts. Your primary focus will be on overseeing data-driven projects, ensuring that all data is accurate and efficiently processed. Here's what you'll be doing:

Key Responsibilities:

Lead and manage the Data Analysts, handling staffing matters such as annual leave approvals and performance appraisals.
Establish and maintain a time-based register of data activities to streamline work allocation.
organise and chair meetings, ensuring effective communication and documentation.
Collaborate with Project Managers to set priorities and manage workloads.
Assist in the development of data validation and analysis procedures to enhance data quality.
Respond to ad-hoc queries from clients and analysts, providing clear and concise information.
Generate and deliver reports and survey data to clients as needed.
Support the team by undertaking Data Analyst tasks when required.

What We're Looking For
The ideal candidate will possess strong organisational skills and a solid understanding of structured data. You should be personable, possess excellent communication skills, and have a genuine willingness to help your team succeed. We value continuous learning and a positive, can-do attitude!

Essential Requirements:

Ability to commute to Reigate for the required hours.
A team player who thrives in collaborative environments.Desirable Skills:

Proficiency in MS Excel and a solid understanding of databases and spreadsheets.
A project management qualification would be a plus!

Why Join Us?

Flexible Hours: Enjoy a work-life balance with our flexible working hours.
Generous Leave: 26 days of annual leave plus bank holidays!
Career Growth: Opportunities for skill development and career progression based on your ambitions.
Benefits: Company pension scheme, Christmas bonus, and performance-related bonuses.

Ready to Take the Next Step?
If you're excited about the prospect of leading a team and making a real impact through data, we'd love to hear from you! Apply now and embark on a rewarding career with us!

Please submit your application, including your CV and a cover letter, to [insert application email/portal]. We look forward to welcoming you to our team!

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.

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 explaining how we will use your information is available on our website

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

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 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!

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

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.