Europe Arbeitnow ·
full-timeAnalista de Dados
Clearscoretechnologylimited · London
ClearScore é um serviço gratuito de pontuação e relatório de crédito que também opera o principal marketplace de crédito ao consumidor do Reino Unido, atendendo milhões de usuários em vários países. Como Analista de Dados na equipe Global Targeting, você trabalhará estreitamente com os membros da squad para monitorar e relatar o desempenho das estratégias de segmentação de usuários, projetar e analisar experimentos A/B e transformar os resultados em recomendações acionáveis. As tarefas diárias incluem criar e manter dashboards de monitoramento usando SQL, Databricks e Domo, realizar análises estatísticas detalhadas e utilizar Python ou R para manipulação e modelagem de dados. Você também ajudará a automatizar fluxos de trabalho analíticos com ferramentas de IA e apresentará insights tanto para stakeholders técnicos quanto não‑técnicos. O cargo é ideal para quem é adaptável, curioso e proativo, com fortes habilidades quantitativas, sólida experiência em SQL e Excel, e proficiência em Python ou R. Familiaridade com DBT, Amplitude ou plataformas analíticas semelhantes e experiência com ferramentas de visualização de dados são diferenciais. Comunicação eficaz, mentalidade colaborativa e desejo de entender o comportamento do usuário são essenciais para ter sucesso nesta posição.
Data Analyst We’re looking for a Data Analyst to join our team here at ClearScore in London. Analysts play a key role within ClearScore, driving strategy and key decision-making, which ultimately benefits our users, partners, and other teams within the business. We’re seeking an adaptable, curious, and challenge-loving individual to join our growing Global Targeting team. ClearScore has an amazing analytical community which includes Data Analysts, Scientists and Engineers. The community works collaboratively to ensure a landscape in which team members can develop their full potential and deliver maximum business impact. ClearScore is both a free credit score and report service and the UK’s leading consumer credit marketplace. As a part of the Global Targeting team, you will play a key role in monitoring and reporting on the effectiveness of our Targeting strategy for our users, playing a key part in the formulation, execution and analysis of our experiments, and providing recommendations to drive improvements that drive a better experience for our users. What you will be doing: Collaborate closely with your Targeting squad members, providing insights into the performance of our various user segments. Deliver data informed and backed recommendations for improvements to our Targeting strategy. Conduct detailed analysis of A/B tests to drive better outcomes for our users across user journeys. Lead in-depth analytics projects, leveraging data to uncover opportunities and address complex business challenges. Develop efficient and effective monitoring and reporting dashboards using SQL, Databricks, and Domo. Leverage advanced AI to automate and scale existing and new analytics processes Skills we'd love you to have SQL, Excel skills and either R or Python. Knowledge of DBT and analytical tools such as Amplitude is a plus A strong quantitative and numerical skills, as well as a good understanding of hypothesis testing and foundational statistical principles Experience using Domo or other data visualisation tools A desire to learn and enjoy working collaboratively, with a desire to contribute to our culture. You do not need to fit into a stereotype: we are really committed to closing our gender gap and are actively trying to create an environment where you, as an individual, can thrive. A self-starter mindset: curious, collaborative, and committed to continuous learning. A desire to deeply understand a problem and its importance to the business before attempting to solve it A drive to understand our users, products, and how users interact with them, enhancing your ability to generate meaningful features and solutions relevant to the problem being addressed The ability to explain to technical and non-technical audiences the key learnings/findings from complex analysis and modelling exercises Why ClearScore? ClearScore is the UK's #1 credit score and report app. We are also present in South Africa, Australia and Canada, with more than 20 million users globally and growing fast. Someone joins ClearScore every 20 seconds. We have established relationships with over 50 of the main lenders in the U.K., and have been a trusted tool for customers to manage their credit and make better financial decisions. Since October 2016 we have helped 1.8 million users take out a new credit card or loan. We are user-centric at our core and we believe in leveraging technology to enable positive financial choices. We are design-led and data-driven and we embed these behaviours in everything we do. Our company culture is a fundamental part of all we have achieved. We believe in hiring smart, driven, passionate and diverse people who are keen on having a real impact in our organisation. We trust you to manage your own time so we offer flexible work and no fixed desk hours. We don't micromanage and we believe in measuring outcomes rather than effort. We have an inclusive culture where all, regardless of seniority, are encouraged to contribute with their ideas, look after their wellbeing and actively seek opportunities for career growth. If you feel like this could be the place for you, apply and our Talent team will be happy to share more. Benefits: 25 paid holidays and a “duvet day” on your birthda
| Role | Data Analyst |
|---|---|
| Company | Clearscoretechnologylimited |
| Location | London |
| Type | full-time |
| Compensation | Not disclosed |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
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