🚀 About Webigence and Spark Travel Webigence has 25 years of experience crafting UX‑first, often highly complex software. Our engineers pair forward‑thinking agile practices with an obsession for intuitive design, shipping products that feel effortless even when the logic underneath is anything but. Alongside a handful of long‑standing third‑party clients, we’re scaling our own SaaS...
What is FundOnion? FundOnion.com is a dynamic tech-driven FinTech Start-up. We're on a mission to deploy new and innovative Tech to help businesses access funding quicker, easier, and better than ever before. Right now, we're looking for motivated and ambitious individuals to join our rapidly growing team via upcoming cohorts of the Analyst Academy in 2026. As one of the UK's leading debt...
You will love analysing and crunching data!
You will be working as part of a small team and happy to work in a heavily process environment. This is a hybrid role working from home on Monday and Friday so essential you can get to Woking with ease. Please note: This position will be on an initial 12 month contract basis.
You should be somebody who can work well alone but when needed be able to integrate well into a team. The role will generally include:- Analysing elements within the business or the whole business Making evaluations of all available data Identifying problems and looking at potential improvements
Position: Senior Marketing Planning Manager Location: Chertsey Salary: On Application Duration: Ongoing Hours: Monday-Friday, 9am-5:30pm Overview of a Senior Marketing Planning Manager As a Senior Marketing Planning Manager, you will lead strategic marketing investment planning, governance, and performance analysis across a European region. This role focuses on driving efficiency, ROI, and...
You will work across a variety of complex analytical problems, owning experimentation end-to-end—even when ideal conditions such as user randomisation or high statistical power are not present.
You will be responsible for identifying business process gaps, managing end-to-end application implementations, and ensuring systems meet operational and strategic needs. This includes working closely with stakeholders across multiple divisions, managing internal and external resources, and delivering projects on time and within budget.
Our client, a Defence technology organisation, continues to grow their Business Analysis capability to support project delivery for their customers. We are seeking Business Analysts with recent delivery within the UK Defence sector or Military, and with current active SC or DV level clearance. As Business Analyst you’ll play a key role in gathering requirements and ideation of platforms and...
What is FundOnion? FundOnion.com is a dynamic tech-driven FinTech Start-up. We're on a mission to deploy new and innovative Tech to help businesses access funding quicker, easier, and better than ever before. Right now, we're looking for motivated and ambitious individuals to join our rapidly growing team via upcoming cohorts of the Analyst Academy in 2026. As one of the UK's leading debt...
🚀 About Webigence and Spark Travel Webigence has 25 years of experience crafting UX‑first, often highly complex software. Our engineers pair forward‑thinking agile practices with an obsession for intuitive design, shipping products that feel effortless even when the logic underneath is anything but. Alongside a handful of long‑standing third‑party clients, we’re scaling our own SaaS...
You will work across a variety of complex analytical problems, owning experimentation end-to-end—even when ideal conditions such as user randomisation or high statistical power are not present.
You should be somebody who can work well alone but when needed be able to integrate well into a team. The role will generally include:- Analysing elements within the business or the whole business Making evaluations of all available data Identifying problems and looking at potential improvements
You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam.
You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam.
You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam.
You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam.
You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam.
You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam.
You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam.
You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam.
You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam.
You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam.
You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam.
You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam.
You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam.
You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam.
You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam.
You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam.