Job Description
dnata Travel Group, represents the travel division of dnata, one of the world’s largest air and travel services providers. Consisting of more than 20 leading international travel brands, we are proud to serve our global customer base as a leading, award-winning travel services provider.
As Data Analyst, you will be 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:
- Assist in the collection of data dictionaries and creation of business glossaries. Maintain core data repositories and analytics inventory documentation as data sources and interfaces change over time ensuring these are up to date as per requirements.
- Support the Manager with administrative/support tasks, related to the delivery of Data Analytics and reporting including adhoc data analysis autonomously across assigned areas of responsibility.
- 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 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.
- Support user data and analytics training sessions with preparation of training material in line with requirements of the manager
