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- Tasks: Transform complex data into actionable insights and automate reporting processes.
- Company: Join a global fintech scale-up focused on innovative payment processing solutions.
- Benefits: Enjoy fully remote work options and a competitive, negotiable rate.
- Other info: Collaborate directly with the CTO and key stakeholders to enhance data-driven decision-making.
- Why this job: Be part of a dynamic team shaping data strategies that drive impactful business decisions.
- Qualifications: Experience with Oracle Flexcube, PowerBI, and a background in banking or financial institutions required.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for an experienced Data Analyst to join our client, a global financial technology scale-up, with a focus on payment processing. You will report to our CTO and design/deliver impactful reporting and analytical solutions. You will play a pivotal role in transforming complex system data into clear, actionable intelligence, empowering our business with reporting tools and integrated insights.
If you have experience in Oracle, Flexcube, PowerBI, dashboarding data on Flexcube, and experience working for a bank or financial institution, please reach out!
Main Responsibilities:- Collaborate with key stakeholders to bring analytical thinking and problem-solving to the table—helping improve how we report, analyse, and use data to drive better business decisions and measurable performance improvements.
- Act as the bridge between data preparation and analysis.
- Get involved in automating reporting processes to boost efficiency, accuracy, and overall quality.
- Ensure stakeholders receive accurate, timely reports they can rely on.
- Support the rollout of our Data and Analytics strategy, and play your part in shaping and delivering the wider strategy—on time, on budget, and to spec.
- Continuously develop and refine data and reporting processes so we can consistently provide the right insights to senior leadership.
- Strong understanding of data analytics, business intelligence, and reporting tools, with a focus on: Oracle Flexcube, PowerBI, dashboarding data on Flexcube, and experience working for a bank or financial institution.
- Ability to quickly learn and apply knowledge beyond your core expertise.
- Excellent analytical and problem-solving skills.
- Proven ability to communicate complex data concepts clearly to non-technical stakeholders.
- Proficiency with BI tools such as Power BI and other platforms used for delivering business insights.
- Relevant experience in data analysis, business intelligence, or a related discipline.
- Practical experience with data visualization and reporting tools to effectively present information.
Data Analyst - Flexcube employer: Payments Recruitment Limited
Contact Detail:
Payments Recruitment Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Flexcube
✨Tip Number 1
Familiarise yourself with Oracle Flexcube and PowerBI, as these are crucial tools for the role. Consider taking online courses or tutorials to enhance your skills and demonstrate your commitment to mastering these platforms.
✨Tip Number 2
Network with professionals in the financial technology sector, especially those who have experience with data analytics in banking. Engaging in relevant online forums or LinkedIn groups can help you gain insights and potentially connect with decision-makers.
✨Tip Number 3
Prepare to discuss specific examples of how you've transformed complex data into actionable insights in previous roles. Being able to articulate your problem-solving process will showcase your analytical skills effectively during interviews.
✨Tip Number 4
Stay updated on the latest trends in data analytics and business intelligence, particularly within the financial sector. This knowledge will not only help you in interviews but also demonstrate your passion for the field and your proactive approach to professional development.
We think you need these skills to ace Data Analyst - Flexcube
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Oracle Flexcube, PowerBI, and any relevant work in financial institutions. Use specific examples that demonstrate your analytical skills and problem-solving abilities.
Craft a Compelling Cover Letter: In your cover letter, explain why you are interested in the Data Analyst position and how your background aligns with the responsibilities outlined in the job description. Mention your experience in automating reporting processes and collaborating with stakeholders.
Showcase Relevant Projects: If you have worked on projects involving data visualization or reporting tools, include these in your application. Describe the impact of your work and how it contributed to better business decisions.
Highlight Communication Skills: Since the role requires communicating complex data concepts to non-technical stakeholders, emphasise your ability to convey information clearly. Provide examples of how you've successfully communicated data insights in previous roles.
How to prepare for a job interview at Payments Recruitment Limited
✨Showcase Your Technical Skills
Make sure to highlight your experience with Oracle Flexcube and PowerBI during the interview. Be prepared to discuss specific projects where you used these tools to deliver impactful reporting and analytical solutions.
✨Demonstrate Problem-Solving Abilities
Prepare examples of how you've tackled complex data challenges in the past. Discuss your analytical thinking and how it has led to improved business decisions or performance enhancements.
✨Communicate Clearly
Since you'll be working with non-technical stakeholders, practice explaining complex data concepts in simple terms. This will show your ability to bridge the gap between technical and non-technical teams.
✨Understand the Business Context
Research the company and its role in the financial technology sector. Being knowledgeable about their operations and challenges will help you tailor your responses and demonstrate your genuine interest in the position.