Junior Data Analyst

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 on
the insights required by Emirates Airlines and Emirates Group business
stakeholders. Job Outline: - Assist in the collection of data dictionaries and
creation of business glossaries. Maintain core data repositories as data
sources and interfaces change over time. - 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 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, 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.
Qualifications & Experience: Information Technology. Other : ‎12 Years
schooling or equivalent : - ‎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, and Business Intelligence) a nice-to-have
Experience ‎4+ year in Data Analysis experience (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. - Experience writing
simple to moderate complexity 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. -
Exposure to data governance or business intelligence tools (e.g. Collibra,
Snowflake, Microstrategy, Power BI) a nice-to-have - Airline industry
experience a nice-to-have. Knowledge/Skills: - Good communicator, able to
clearly communicate rationale and approaches to peers and some business
stakeholders - Operates with a you code It, you own It? Mind-set (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 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 positive attitude Technology
Domain Key Technologies/Tools Big Data & Distributed Processing: Querying HDFS
or ADLS file storage systems, with tools such as Hive or H-Base, Elastic
Search, Experience with AVRO / PARQUET file formats nice-to-have Data
Analysis, Modelling and Reporting : SQL, Snowflake, Data Vault ‎2.0, Micro
Strategy, Power BI.
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 hotels stays around the world. You can find out more information
about our employee benefits in the Working Here section of our website
www.emirates.com/careers. Further information on what's it like to live and
work in our cosmopolitan home city, can be found in the Dubai Lifestyle
section.