Lead Data Analyst

Job Description

JOB PURPOSE The Lead 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. It also involves some thought leadership to continuously improve the data analysis capability. JOB ACCOUNTABILITIES LINKED TO OBJECTIVE AREAS: 1. Understand business domains well (e.g. airline, passenger, pilot & crew, aircrafts, 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 high-level data transformation rules across data assets during the discovery phase of new initiatives. Operate with a data-driven mindset, helping the business generate those insights based on data, and assist with the development of meaningful business KPI’s. 2. Organize and lead efforts for the collection of data dictionaries and creation of business glossaries. Maintain core data repositories as data sources and interfaces change over time. 3. Define and maintain conceptual, logical, or physical data models and data interfaces for the analytical environment. Work with business users on access, query patterns and ensuring that they effectively meet business expectations. 4. Conduct complex data gap analysis and data profiling to analyze 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. 5. 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. Mentor more junior Data Analysts to do the same. 6. 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. 7. Implement and practice fit-for-purpose estimation techniques, to promote iterative delivery. Help the team in refining estimates during sprint planning, with optimal assumptions and inter-dependency understanding. 8. Collaborate with the quality engineers to identify areas which need to be validated and ensure data exposed to business stakeholders satisfies their analytical needs. 9. Partner with a Data Governance group to implement appropriate standards, methodologies, template and tools related to documenting and analyzing data assets. Support in delivery of flexible, reusable and well-maintained core data repositories. 10. 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.