Business Data Analyst

Jonathan Lee Recruitment

Harrow, United Kingdom

Last month

Applications closed

Related Jobs

View all jobs

Data Analyst

Lynx Recruitment London, United Kingdom

£40,000 – £65,000 pa On-site

Data Scientist

Sagacity London, United Kingdom

£40,000 – £60,000 pa On-site

Lead Data Engineer

Canada Life London, United Kingdom

£70,000 – £100,000 pa Hybrid

Data Scientist

Randstad Technologies Recruitment London, United Kingdom

Senior Product Analyst

Harnham - Data & Analytics Recruitment London, United Kingdom

£65,000 – £80,000 pa Hybrid

Senior Data Engineer

Ageas Insurance Limited Reigate, RH2 0AA, United Kingdom

£70,000 – £85,000 pa Hybrid

Posted: 21 Mar 2026 (Last month)

Save job

Create job alert

Applications closed

Are you ready to take your career to the next level? This exciting opportunity as a Business Data Analyst offers the chance to make a real impact in a dynamic and fast-paced environment. With a focus on driving scalable lead acquisition, qualification, and conversion, this role is perfect for someone looking to work on innovative projects that shape the future of business strategies. As a part of this position, you will collaborate with cross-functional teams, dive into data analysis, and optimise processes to deliver tangible results. If you're passionate about data, insights, and making a difference, this could be the perfect role for you.

What You Will Do:

- Own the end-to-end lead journey through robust API integrations, ensuring seamless lead attribution, minimal leakage, and improved online booking conversion rates. - Analyse dashboards to track lead quality, source effectiveness, drop-offs, and conversion trends, delivering actionable insights that enhance lead velocity and ROI. - Drive scalable strategies for lead acquisition, qualification, and nurturing at various stages, ensuring smooth collaboration across stakeholders. - Provide structured reporting on lead flow and SLA adherence, enabling refinement of lead management tactics. - Collaborate with stakeholders to maintain accuracy, optimise efficiencies, and identify roadmaps for improvement in lead flow and management.

What You Will Bring:

- Strong analytical skills and a proven ability to interpret data into actionable strategies. - Experience with API integrations and lead management processes. - Ability to work collaboratively with cross-functional teams and external stakeholders. - Proficiency in using dashboards to track and optimise performance metrics. - A results-driven mindset with a focus on improving lead velocity and ROI. - Experience / knowledge of Zapier, Bemycar, MSD software or similar packages advantageous. - Degree qualified in a relevant field such as data science, statistics, computer science, mathematics or digital marketing essential.

This role is a vital part of the company's mission to enhance operational efficiency and maximise growth opportunities. By leveraging your skills and expertise, you will contribute to the optimisation of lead acquisition and conversion processes, aligning with the company's commitment to innovation and excellence.

Location:

This position is hybrid with office location in Camden, offering a vibrant and inspiring work environment in the heart of the city.

Interested?:

If you're ready to step into a role that challenges and rewards, apply today. Don't miss the chance to be part of a forward-thinking company where your contributions will drive success and innovation. Apply now to start your journey as a Business Data Analyst!

Your CV will be forwarded to Jonathan Lee Recruitment, a leading engineering and manufacturing recruitment consultancy established in 1978. The services advertised by Jonathan Lee Recruitment are those of an Employment Agency.

In order for your CV to be processed effectively, please ensure your name, email address, phone number and location (post code OR town OR county, as a minimum) are included

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

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

Apr 9, 2026

Products

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Mar 24, 2026

Jobs

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

Feb 11, 2026

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.