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Senior Data Analyst

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About Emirates Group (Wikipedia Record):

The Emirates Group is a state-owned Dubai-based international aviation holding company headquartered in Garhoud, Dubai, United Arab Emirates, near Dubai International Airport. The Emirates Group comprises dnata, an aviation services company providing ground handling services at 126 airports, and Emirates, the largest airline in the Middle East. Emirates flies to over 150 destinations across 6 continents, operating a fleet of over 250 wide-bodied aircraft. The airline has 170 aircraft on order worth US$58 billion. The Emirates Group has a turnover of approximately US$28.3 billion and employs over 105,000 employees across all its business units and associated firms, making it one of the biggest employers in the Middle East. The company is wholly owned by the Government of Dubai directly under the Investment Corporation of Dubai and as part of Dubai Inc.

About the Role

Job purpose At Emirates Group our Analytics Centre of Excellence (ACoE) is a centralized unit that provides data and analytics support to Emirates Group businesses. This allows our businesses to make better decisions by using data and analytics to understand our customers, operations, and markets. The ACoE is an essential part of Emirates Group's digital transformation strategy. The unit is helping Emirates Group to become a more data-driven organization and to make better decisions by using data and analytics. As a senior data analyst, you will be a fully participating member of a cross-functional team working autonomously on technology development and problem resolution in the Enterprise Data & Analytics space. The role involves the analysis aspects of sourcing and transforming data to ensure it delivers on the insights required by Emirates Airlines and Emirates Group business stakeholders. In this role you will: • Understand business domains well (e.g. airline, passenger, pilot & crew, aircraft, HR, finance). • Work with product owners and business users to understand operational source system data and business transformation / data cleansing rules required to ensure that analytical solutions generate the insights required by the business. • Operate with a data-driven mindset, helping the business generate those insights based on data. • Assist in the collection of data dictionaries and creation of business glossaries. • Maintain core data repositories as data sources and interfaces change over time. • Understand and maintain data models and data interfaces for the analytical environment to understand availability of data for the required business reports. • Conduct simple data gap analysis and data profiling to analyse availability and quality of incoming data and advise on any data cleansing rules, or issue resolution options in case of incidents (including analysis of potential data quality issues). • Incorporate business transformation rules into solution designs or mapping documents to ensure solutions provide timely business value. • Document proposed or modified data interfaces, including fit for data models, data flow timing, source-to-target mapping, uniqueness criteria and data transformation rules including data validations and controls. • Provide feedback on logical and physical data models to ensure they effectively meet the analytical requirements and expectations. • Collaborate with the quality engineers to identify areas which need to be validated and ensure data exposed to business stakeholders satisfies their analytical needs. • Keep current on evolving Emirates Airlines and Emirates Group data and analytics business knowledge domains to accurately assess the quality of the data and ensure business glossaries remain up-to-date. Qualification To be considered for the role, you must meet the below requirements: • Degree or honours (12+3 or equivalent). • Experience in information technology. • Degree in a relevant field such as computer science, computational mathematics, computer engineering or software engineering. Specialization or electives in a data & analytics field (e.g. data warehousing, data science, business intelligence) is a nice-to-have. • 3+ years in data analysis experience (fewer years’ experience will be considered for masters degree holders). • Minimum 3+ years conducting data analysis tasks (e.g. source system identification, data dictionary / metadata collection, data profiling, source-to-target mapping). • Proven track record developing and maintaining data documentation artefacts in organizations of similar size and complexity within project deadlines. • Deep expertise on business transformation rules and understanding of data solution designs. • Experience writing SQL queries to analyse data and provide results to business users or project team members. • Experience with building information designs for data-centric projects on one or more of the following (preferably within an airlines industry): data warehouses, big data environment for analytics, data API, business intelligence solutions. • Airline industry experience preferred (or expertise in a supporting function such as HR or finance); needs to understand the business domains well to conduct data modelling and analysis activities. Knowledge/Skills: • Good communication skills; able to clearly communicate rationale and approaches to peers and some business stakeholders. • Operates with a “You Code It, You Own It” mindset (i.e. supports the products they build). • Demonstrated problem-solver; able to design and document solutions independently. • Strong work ethic, being results-oriented, and accuracy / attention to detail are critical. • Demonstrated initiative, able to work both independently and as a team member. • Team player; able to collaborate with others to remove blockers, solve complex data problems and debug/resolve issues. • Able to deliver solutions (and associated value) iteratively. • Is accounta

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