Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join us as a Data Analyst, resolving issues and enhancing data projects daily.
- Company: Be part of a leading fintech bank redefining the future of payments.
- Benefits: Enjoy a competitive salary, hybrid work options, and private medical health insurance.
- Why this job: This role offers a dynamic environment with opportunities for continuous learning and innovation.
- Qualifications: Must have experience in Dataiku, SQL, Python, and Alteryx; financial sector knowledge is a plus.
- Other info: This is a full-time, permanent position based in London, within a fast-paced IT team.
The predicted salary is between 34000 - 50000 £ per year.
This range is provided by dnevo Partners. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.Base pay rangeHeadline Notes Before Application:Hybrid Permanent Role In London – Salary £40-50k**MUST have Dataiku / SQL & PYTHON Experience**No Graduate Visa\’s / Sponsorship OfferedWe are recruiting for a Data Analyst who will play a pivotal role in ensuring the seamless transition and efficient operation of data projects from the QA environment to production. In this role, you will be responsible for:Issue Resolution & Escalation: Proactively resolving issues impacting critical data projects and escalating them when necessary.Domain Expertise & Continuous Learning: Enhancing project outcomes through deep domain knowledge and fostering continuous learning within the team.Service Monitoring & Data Insights: Utilising tools such as Dataiku, Alteryx, Tableau, and PowerBI to develop dashboards, monitor service metrics, and deliver actionable insights for informed decision-making.Automation & Efficiency: Leveraging SQL, Python, and R to identify automation opportunities and streamline support and maintenance processes.Documentation Management: Ensuring accurate and up-to-date documentation across processes, systems, and team structures.Project Prioritisation & Promotion: Supporting project prioritisation and assisting in the controlled promotion of data projects from QA to production.Backup & Disaster Recovery: Contributing to the development and implementation of robust backup and disaster recovery strategies.Environment Health Checks: Conducting regular health checks on QA and production environments to guarantee system stability and optimal performance.Knowledge and ExperienceExperience with Alteryx: Essential for managing data workflows.Software Delivery: Proven track record of delivering high-quality, unit-tested software within a commercial environment.Design Principles: Practical experience in applying appropriate design patterns and principles.Financial Sector Exposure: FX and broader financial knowledge is desirable, along with experience in financial systems.Technical SkillsData Engineering: Proficiency in using Alteryx and DataikuData Visualisation: Experience with Tableau and PowerBI.Programming: Strong coding skills in SQL, Python, and R.Personal AttributesProactive: A self-starter with the ability to make an immediate and tangible impact.Detail-Oriented: Meticulous in ensuring precision and quality.Resourceful: Capable of navigating challenges with innovative solutions.Collaborative: Thrives in a team-based environment.Innovative: Continuously seeks new ways to enhance processes and drive success.Additional InformationThis is a full-time, permanent position offering a hybrid working arrangement within the IT team based in the London office. The successful candidate will join a dynamic team in a fast-paced environment, catering to a diverse mix of stakeholders and contributing to a rapidly evolving fintech landscape.What You Get in ReturnAlong with a competitive salary, this role offers an attractive benefits package that includes private medical health insurance.If you are ready to take on this exciting challenge and join a leading fintech bank on its growth journey, we encourage you to apply and be part of a company that is redefining the future of payments.Seniority levelMid-Senior levelEmployment typeFull-timeJob functionInformation Technology #J-18808-Ljbffr
Data Analyst - Dataiku employer: JobLeads GmbH
Contact Detail:
JobLeads GmbH Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Dataiku
✨Tip Number 1
Familiarise yourself with Dataiku, SQL, and Python before applying. Since these skills are essential for the role, having hands-on experience or completing relevant projects can give you a significant edge during interviews.
✨Tip Number 2
Showcase your problem-solving abilities by preparing examples of how you've resolved issues in past data projects. Being able to discuss specific challenges and your proactive solutions will demonstrate your fit for the role.
✨Tip Number 3
Research the financial sector, particularly FX and related systems. Understanding the industry context will not only help you in interviews but also show your commitment to continuous learning and domain expertise.
✨Tip Number 4
Prepare to discuss your experience with data visualisation tools like Tableau and PowerBI. Be ready to explain how you've used these tools to deliver actionable insights, as this is a key aspect of the role.
We think you need these skills to ace Data Analyst - Dataiku
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasise your experience with Dataiku, SQL, and Python in your CV and cover letter. Provide specific examples of projects where you've successfully used these tools.
Showcase Problem-Solving Skills: In your application, illustrate how you've proactively resolved issues in past data projects. Use concrete examples to demonstrate your ability to handle challenges effectively.
Demonstrate Continuous Learning: Mention any recent courses, certifications, or self-study related to data analysis and the tools mentioned in the job description. This shows your commitment to staying updated in the field.
Tailor Your Application: Customise your CV and cover letter to align with the specific requirements of the role. Use keywords from the job description to ensure your application stands out to recruiters.
How to prepare for a job interview at JobLeads GmbH
✨Showcase Your Technical Skills
Make sure to highlight your experience with Dataiku, SQL, and Python during the interview. Be prepared to discuss specific projects where you've used these tools, as this will demonstrate your technical proficiency and relevance to the role.
✨Demonstrate Problem-Solving Abilities
Since the role involves issue resolution and escalation, be ready to share examples of how you've proactively resolved data-related issues in the past. This will show your potential employer that you can handle challenges effectively.
✨Emphasise Continuous Learning
The job description mentions the importance of domain expertise and continuous learning. Discuss any recent courses, certifications, or self-study you've undertaken to stay updated in the field, particularly in data analytics and financial systems.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your ability to monitor service metrics and deliver insights. Practise articulating how you would approach specific situations, such as conducting health checks or implementing backup strategies.
