Senior Solutions Analyst
Indexed description
**** Please Note this is a 12- Month Contract ****
Emirates NBD is a market leader across the MENAT (Middle East, North Africa and Türkiye) region with a presence in 13 countries, serving over 20 million customers. The Emirates NBD Group has a total of 853 branches and 4,213 ATMs / SDMs. Emirates NBD is the leading financial services brand in the UAE with a Brand value of USD 3.89 billion.
At the bank, we serve our customers and help them realise their financial objectives through a range of banking products and services including retail banking, corporate & institutional banking, Islamic banking, investment banking, private banking, asset management, global markets and treasury, and brokerage operations.
We are a key participant in the global digital banking industry, with 97% of all financial transactions and requests conducted outside of our branches. We also operate Liv, the lifestyle digital bank by Emirates NBD. With close to half a million users, it continues to be the fastest-growing digital bank in the region.
- Build & publish the dashboard and MI reports to the stakeholders on the key performance objectives in a timely, reliable and simple manner
- Support Business with strategic data analytics projects, deep dives, simulation, etc. to deliver Insights to business leaders
- Digitize & Automate the MI reports, data capture, workflows etc., through competent BI Solutions to have efficiency gains
- Manage computation of key performance indicators and process incentive pay out for business units
- Provide Data Solutions to ensure delivery of automation and digitization initiatives for business units
- Development of effective solutions using BI tools like SAS, Python, VBA, Power BI, Tableau etc. based on IT guidelines, should understand git hub and deliver data ETL pipelines
- Change management of existing tools based on IT guidelines
- Documenting and maintaining SOPs for the solutions developed by the team
- Handover of tools to business units and training them for usage and further maintenance
- Work in collaboration with Insights & Performance Management teams to ensure delivery of initiatives to stakeholders
Requirements
- Graduate in Math, Science, Computer Science, Economics, Engineering, Business etc.
- Certification in SAS, Power BI, Business Analytics
- 5+ years of experience as Data Engineer – Technical & Stakeholder Engagement and leading a team including at least 2 – 3 years in BFS.
- 2+ years of hands-on experience building Data Pipelines in production and ability to work across structured, semi-structured, and unstructured data.
- Strong python data engineering experience (e.g. Pyspark, pandas, duckdb)
- Min. 4 years of experience on the Business Intelligence domain
- Exposure to Banking domain
- Good knowledge in MS Office tools (Outlook, Excel, PowerPoint, etc.) and GitHub, Confluence, JIRA
- Good hands-on knowledge on tools like VBA, SAS, SQL, Power BI, Tableau, data ETL pipelines
- Effective collaboration with the team and Stakeholder
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