About Job CTC Undisclosed Job Location Dubai Experience 5 - 7 yrs Description

Emirates NBD is one of the largest banks in the Middle East, with over USD 6 Bn in revenues and 14,000 employees globally.

Core objectives of the unit include:

The BI function in group finance is a function that requires strong alignment with the business heads to deliver the best data-driven insights and craft data-driven strategy for the organization. The BI Engineer works on pioneering business intelligence use cases, realizing the output into engaging, highly intuitive, and crystal-clear visualizations, therefore minimizing the time to insight for senior stakeholders.

S/he makes a real difference through their own delivery, aesthetic sense, and ability to cut through the noise direct to the signal.

Responsibilities S/he will be an expert-level user of Tableau and Power BI. S/he will also have expert level SQL capabilities, being able to write optimized queries. S/he will have a portfolio of data visualizations, ideally built using Tableau / Power BI. Work with a team of product owners, translators, data scientists, and data engineers to deliver business impact through data. Create innovative and compelling visualizations that make analytical insights easily digestible for relevant stakeholders. Develop (Tableau) visualization solutions that are sustainable and that are embedded into end-to-end analytics solutions that provide stakeholders with continuous, up-to-date analytics insights. Implement an agile approach to appropriate visualization development, including rapid prototyping, short and frequent development cycles. Support hiring, coaching, and training of citizen visualization talent across the Bank. Help build understanding and familiarity with visualization solutions with relevant stakeholders. Proven ability to visualize analytics insights. Requirements Proficiency with Tableau & Power BI (Including SSRS). Experience working with large datasets (Hadoop & SQL). Portfolio of existing work. Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.