Data Analyst Remote jobs in United Arab Emirates

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(Flexible Interim) Data Analyst – Flexcube

· Location – fully remote, UK or Europe

We are looking for an experienced Data Analyst to join our client, a global financial technology scale-up, with a focus on payment processing. We need you to join us, reporting to our CTO, and design/deliver impactful reporting and analytical solutions. You'll 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 & 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.
• Make sure 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.

About you:

• Strong understanding of data analytics, business intelligence, and reporting tools, with a focus on: Oracle Flexcube, PowerBI, dashboarding data on Flexcube & 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.