• 1+ years of tax, finance or a related analytical field experience
• 2+ years of complex Excel VBA macros writing experience
• Bachelor\'s degree or equivalent
• Experience defining requirements and using data and metrics to draw business insights
• Experience with SQL or ETL

ROW AOP Analytics team is looking for an innovative, hands-on and customer-obsessed Business Analyst. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once.The BA will bring innovation, a strategic perspective, a passionate voice, and an ability to prioritize and execute on a fast-moving set of priorities, competitive pressures, and operational initiatives. You will partner closely with program, product and technology teams to define and build innovative and delightful experiences for customers. You must be highly analytical, able to work extremely effectively in a matrix organization, and have the ability to break complex problems down into steps that drive programs.Key job responsibilities
1.Converting data into digestible business intelligence and actionable information
2.Writing high quality SQL codes to retrieve and analyze data.
3.Working with large data sets, automate data extraction, and build monitoring/reporting dashboard
4.Interacting with internal stakeholders to deep-dive outlier events
5.Analyze and solve business problems with focus on understanding root causes and driving forward-looking opportunities
6.Communicating complex analysis and insights to our stakeholders and business leaders, both verbally and in writing.
7.Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format
8.Should be open to learn and develop skillsets in the latest technologies and analytical techniquesWe are open to hiring candidates to work out of one of the following locations:Dubai, ARE

• Experience working with Tableau
• Experience using very large datasets

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