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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 transforming the future of payments.
- Benefits: Enjoy a competitive salary, hybrid work options, and private medical health insurance.
- Why this job: This role offers hands-on experience in a dynamic team within a fast-paced environment.
- Qualifications: Must have experience with Dataiku, SQL, Python, and Alteryx; financial sector knowledge is a plus.
- Other info: This is a full-time, permanent position based in London.
The predicted salary is between 32000 - 42000 £ 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 range
Headline Notes Before Application:
Hybrid Permanent Role In London – Salary £40-50k
**MUST have Dataiku / SQL & PYTHON Experience**
No Graduate Visa\’s / Sponsorship Offered
We 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 Experience
- Experience 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 Skills
- Data Engineering: Proficiency in using Alteryx and Dataiku
- Data Visualisation: Experience with Tableau and PowerBI.
- Programming: Strong coding skills in SQL, Python, and R.
Personal Attributes
- Proactive: 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 Information
This 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 Return
Along 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 level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
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Data Analyst - Dataiku employer: dnevo Partners
Contact Detail:
dnevo Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Dataiku
✨Tip Number 1
Familiarise yourself with Dataiku and its functionalities. Since this role specifically requires experience with Dataiku, consider exploring online tutorials or courses to deepen your understanding and showcase your skills during the interview.
✨Tip Number 2
Brush up on your SQL and Python skills. Given that these programming languages are essential for the position, practice solving data-related problems using them. This will not only boost your confidence but also prepare you for technical questions in the interview.
✨Tip Number 3
Network with professionals in the fintech sector. Attend industry meetups or webinars to connect with others who work in similar roles. This can provide valuable insights into the company culture and may even lead to referrals.
✨Tip Number 4
Prepare examples of past projects where you've successfully resolved data issues or improved processes. Being able to discuss your hands-on experience with data workflows and automation will demonstrate your capability and fit for the role.
We think you need these skills to ace Data Analyst - Dataiku
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Dataiku, SQL, and Python. Use specific examples to demonstrate how you've used these skills in previous roles, especially in data analysis or project management.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the role and the company. Mention your proactive approach and detail-oriented nature, and explain how your background aligns with the responsibilities outlined in the job description.
Showcase Relevant Projects: If you have worked on relevant projects, either professionally or as part of your studies, include them in your application. Highlight your contributions, the tools you used (like Alteryx or Tableau), and the outcomes of those projects.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Analyst role.
How to prepare for a job interview at dnevo Partners
✨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 utilised these tools, as this role requires a strong technical foundation.
✨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 of data analysis and fintech.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your ability to monitor service metrics and deliver insights. Think about how you would approach specific situations related to data projects and be ready to articulate your thought process.
