Senior Data Analyst
Emirates NBD · Dubai, United Arab Emirates
Tailor my CV for this job — free*** Please note this is an 18 Month Contract ***Emirates NBD is one of the largest banks in the Middle East, with over USD 6Bn in revenues and 14000 employees globally. As part of its strategic mandate, the bank has recently setup its Advanced Analytics Centre of Excellence for driving ENBD’s ambitious advanced analytics agenda across ENBD.Core objectives of the center include:- Deliver 500-800 Mn AED business impact through a series of use cases/ AA projects executed in collaboration with the BU’s- Instill a data driven culture across ENBD by building organization wide capabilities in advanced analyticsThe team acts as an enabler to the BUs to deploy advanced analytics models to drive smarter decisions across different domains. It is a guiding light to BUs to ideate on what’s possible with advanced analytics, help them prioritize these ideas, and pilot and productionalize them through cross-functional AA squads.It houses highly skilled data scientists, data engineers and other digital talent that is an integral part of cross-functional squads that execute AA projects.The AA agenda is a high visibility and high priority initiative for ENBD. AA will be governed at ExCo level, including impact tracking, a ringfenced budget & performance managementThe Data Analyst is responsible for analysing complex operational and business data to identify trends, opportunities, performance gaps and actionable insights that support informed decision-making and the achievement of business objectives.The role works collaboratively with business stakeholders, product owners, business translators, data engineering and technology teams to understand analytical requirements, define appropriate measures and develop reliable, scalable data solutions.The Data Analyst supports the end-to-end delivery of analytical outputs, including data extraction, cleansing, validation, transformation, analysis, dashboard development and ongoing performance monitoring.The role develops and maintains analytical models, reports and dashboards that provide clear visibility of operational performance, productivity, capacity, benefits and other relevant business outcomes.The Data Analyst ensures that analysis is based on accurate, complete and consistently defined data, investigating discrepancies and working with relevant teams to resolve data-quality issues.The role translates complex data and analytical findings into clear business insights, recommendations and visualisations that can be readily understood and acted upon by operational teams and senior stakeholders.The Data Analyst supports the testing, implementation and continuous improvement of analytical solutions to ensure they remain accurate, efficient and aligned with changing business requirements.The role contributes to the standardisation and automation of recurring analysis, reducing manual effort and enabling more consistent, timely and transparent reporting.Depending on the seniority of the position, the job holder may also provide analytical guidance, quality assurance and knowledge support to other team members.RequirementsUniversity degreeAdvanced degree (MS/Ph.D) in Computer Applications, Economics, Statistics or Mathematics or related technical discipline with high analytical rigor is desirable8-10 years of experience in a data science role is essentialValidated experience of defining analytics road map and leading analytics engagementsShould have experience in machine learning, statistics, optimization or related fieldsExperience with programming is a must; specifically experience in R/ Python/ SQLExperience of working with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.) is essentialStrong analytical and problem-solving skillsWorked in agile environments with multiple stakeholders from the business