JOB PURPOSE  The 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 the

Junior Data Analyst

Emirates Airlines • 
Dubai, Dubai, International
Position Type: Permanent
Job Description:
JOB PURPOSE

 

 

The 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 the insights required by Emirates Airlines and Emirates Group business stakeholders.

 

 

JOB ACCOUNTABILITIES LINKED TO OBJECTIVE AREAS 

 

 

-Assist in the collection of data dictionaries and the creation of business glossaries.  Maintain core data repositories as data sources and interfaces change over time.

 

 

 

-Conduct data profiling to analyze the 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 a rudimentary data gap analysis to understand the availability of required data, by comparing it 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 Emirates Airlines and Emirates Group data and analytics business knowledge domains to accurately assess the quality of the data 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.

Job Requirements:

Qualifications:

 

12 years of 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) a nice-to-have

 

Experience:    

 

 

-4+ years experience in Data Analysis experience (Fewer years’ experience will be considered for Masters 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

 

 

-Experience writing simple 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 an airline industry): Data Warehouses, Big Data Environments for Analytics, Data API, Business Intelligence Solutions

 

 

-Exposure to data governance or business intelligence tools (e.g. Collibra, Snowflake, Microstrategy, Power BI) is a nice-to-have

 

 

-The airline industry experiences a nice-to-have

 

 

 

Knowledge/Skills: 

 

 

-Good communicator; able to 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

 

 

-Self-starter and has a passion for exploring and learning new technologies, especially those in the Enterprise Data & Analytics space

 

 

-Able to deliver solutions (and associated value) iteratively

 

 

-Is accountable and displays a positive attitude.


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