Lead Data Analyst - The Emirates Group

Job Purpose: At Emirates we believe in connecting the world to and through our global hub in Dubai; and in constantly innovating to ensure our customers Fly Better. Join the Emirates Group IT Team in Dubai. Emirates Group IT thrives on the dynamic nature of technology. Being pioneers in aviation innovation were always at the forefront pushing boundaries. Were on the lookout for exceptional IT professionals to fortify our position as leaders in the industry. Embark on a journey with the worlds largest international airline and become a vital part of our cuttingedge information and technology team as Lead Data Analyst

The Lead Data Analyst is a fullyparticipating member of a crossfunctional 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. It also involves some thought leadership to continuously improve the data analysis capability.

Job Outline:

• 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. Lead efforts to identify source systems and highlevel data transformation rules across data assets during the discovery phase of new initiatives. Operate with a datadriven mindset helping the business generate those insights based on data and assist with the development of meaningful business KPIs.
• Organize and lead efforts for the collection of data dictionaries and the creation of business glossaries. Maintain core data repositories as data sources and interfaces change over time.
• Define and maintain conceptual logical or physical data models and data interfaces for the analytical environment. Work with business users on access and query patterns and ensuring that they effectively meet business expectations.
• Conduct complex data gap analysis and data profiling to analyze the 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.
• The document proposed or modified data interfaces including fit for data models data flow timing sourcetotarget mapping uniqueness criteria and data transformation rules including data validations and controls. Mentor more junior Data Analysts to do the same.
• Provide feedback on technical solutions to ensure they effectively meet the analytical requirements and expectations are easily accessible and queryable and provide timely business value.
• Implement and practice fitforpurpose estimation techniques to promote iterative delivery. Help the team in refining estimates during sprint planning with optimal assumptions and interdependency understanding.
• Collaborate with the quality engineers to identify areas that need to be validated and ensure data exposed to business stakeholders satisfies their analytical needs.
• Partner with a Data Governance group to implement appropriate standards methodologies templates and tools related to documenting and analyzing data assets. Support in the delivery of flexible reusable and wellmaintained core data repositories.
• 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 uptodate and drive quality and consistency across data and analytic solutions.

Qualifications & Experience: Qualifications:

• Degree or Honours (123 or equivalent) 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) are nice to have.

Experiences:

• 5 years in Data Analysis experience (Fewer years experience will be considered for Masters degree holders)
• Minimum 5 years conducting data analysis tasks (e.g. source system identification data dictionary/metadata collection data profiling sourcetotarget mapping)
• Proven track record developing and maintaining data documentation artifacts in organizations of similar size and complexity within project deadlines
• Proven track record developing templates for organizing data analysis output
• Deep expertise in business transformation rules and understanding of data solution designs
• Experience building conceptual logical and physical data models
• Experience writing complex SQL queries to analyze data and provide results to business users or project team members
• Experience with building information designs for datacentric projects on two 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 nicetohave
• Airline industry experience strongly preferred (or expertise in a supporting function such as HR or Finance); needs to understand the business domains well to conduct data modeling and analysis activities.

Knowledge/Skills:

• Excellent communicator; able to communicate rationale approaches and complex data models to business stakeholders peers and management.
• Operates with a You Code It You Own It mindset (i.e. supports the products they build.
• Demonstrated problemsolver; able to design and document solutions independently.
• Strong work ethic being resultsoriented 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.
• Selfstarter 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.

Key Technologies/Tools:

Big Data & Distributed Processing: Querying HDFS or ADLS file storage systems with tools such as Hive or HBase ElasticSearch Experience with AVRO / PARQUET file formats nicetohave
Data Analysis Modelling and Reporting: SQL Snowflake Data Vault 2.0 MicroStrategy Power BI

Leadership Role: NO