Senior Data yst - The Emirates Group

Job Purpose: The Senior 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:

• 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 the 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 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.
• 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 that 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.

Qualifications & Experience: To be considered for the role you must meet the below requirements:

• Bachelor's degree (1:2:3) in Computer Science, Computational Mathematics, Computer Engineering, or Software Engineering with a preference for Data & Analytics specialization plus 2 years of data analysis experience (or fewer for master's degree holders).
• Minimum 2 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 artifacts in organizations of similar size and complexity within project deadlines.
• Deep expertise in business transformation rules and understanding of data solution designs.
• Experience writing 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.
• 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 modeling and analysis activities.

Knowledge/Skills:

• Good communication skills 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. 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 nice-to-have.
• Data Analysis, Modelling and Reporting: SQL, Snowflake, Data Vault 2.0, MicroStrategy, Power BI.