Requirements
Candidates must have 12 years of schooling or equivalent, with consideration given to those with 12+3 years in fields like computer science, computational mathematics, computer engineering, or software engineering. A specialization in data & analytics is a plus. Required experience includes 4+ years in data analysis, minimum 1+ years in data analysis tasks, moderate complexity SQL query exposure, and experience building information designs for data-centric projects. Advanced proficiency in Microsoft Office (Excel, PowerPoint) is essential.
Description
Job description / Role
Job Type
Full Time
Job Location
Dubai, UAE
Nationality
Any Nationality
Salary
Not Specified
Gender
Not Specified
Arabic Fluency
Not Specified
Job Function
Finance, Business Analysis & Consulting
Company Industry
Aviation, Airlines & Aerospace
Job purpose
Established in 1985 as the airfreight division of Emirates, Emirates SkyCargo is the largest international cargo airline in the world. We are looking for supply chain and logistics professionals ready to support Emirates SkyCargo as our organisation continuously increases its cargo capacity and develops specialised products to meet the growing needs of customers.
The junior data analyst is 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:
Assist in the collection of data dictionaries and creation of business glossaries.
Maintain core data repositories and analytics inventory documentation as data sources and interfaces change over time, ensuring these are up to date as per requirements.
Support the manager with administrative and support tasks related to the delivery of data analytics and reporting including ad hoc data analysis autonomously across assigned areas of responsibility.
Conduct data profiling to analyze 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.
Conduct rudimentary data gap analysis to understand availability of required data by comparing to existing core data repositories.
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.
Review technical solutions to ensure they effectively meet the analytical requirements and expectations.
Assist with source system identification and data profiling activities during the discovery phase of new initiatives.
Keep current on evolving data and analytics business knowledge domains to accurately assess the quality of the data and ensure business glossaries remain up to date, and drive quality and consistency across data and analytic solutions.
Proactively work with senior and lead data analysts, chapter leads and line managers to upskill on the data analysis technology set used by data engineering.
Support user data and analytics training sessions with preparation of training material in line with requirements of the manager.
Qualification
To be considered for this role, you must meet the below:
12 years schooling or equivalent. Consideration will be given to those with 12+3 years 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.
4+ years experience in data analysis (fewer years' experience will be considered for master's degree holders).
Minimum 1+ years conducting data analysis tasks (e.g. source system identification, data dictionary/metadata collection, data profiling, source-to-target mapping).
Understanding of business transformation rules and data solution designs.
Exposure to moderate complexity SQL queries to analyze 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 the airline industry): data warehouses, big data environment for analytics, data API, business intelligence solutions.
Exposure to data governance or business intelligence tools (e.g. Collibra, Snowflake, Microstrategy, Power BI, Tableau) is a nice-to-have.
Advanced proficiency with Microsoft Office suite (Excel, PowerPoint).
Airline/travel industry experience is a nice-to-have.
At Emirates Group, we’re committed to providing our employees with opportunities to grow and develop their careers. If you’re looking for a challenging and rewarding opportunity, apply today and join our team!
Salary & benefits
Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotel stays around the world. Find out what it’s like to live and work in our fast-paced, cosmopolitan home city.
About the Company
A fast-growing international airline with one of the youngest fleets in the sky and more than 400 awards for excellence worldwide.
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