Customer Insight Analyst

Job Purpose Our Corporate Communications, Marketing and Brand team is responsible for conveying the essence of Emirates Group. Our team is pivotal in representing the attitudes, beliefs and goals of our organisation across the globe, both internally and with our customers alike! The Customer Insight Analyst will be responsible for developing the data infrastructure behind the customer-centric marketing business and improving the marketing data lifecycle, from the way data is extracted and prepared to the way analysis is performed and presented. Along with the marketing enablement team, develop and map out the data ingestion and integration processes from various internal and external sources, streamlining the information for the use of our marketing teams. The marketing data platform and tools delivered will play a pivotal part in the success of the business, serving analysts and decision makers with the right toolkit to harness data for years to come. In this role you will: - Collect, interpret and simplify incoming customer and marketing data across multiple data sources, making it usable for different applications. Work closely with the customer insights and campaign analysts to help them get the most out of our data and enable the discovery of actionable insights that support decision making across CCMB. - Drive continuous improvements in extraction, aggregation, profiling, testing and analysis of terabytes of customer data. Effectively apply technology to surface insights automatically, optimise data delivery and simplify self-service support for analysts. - Design, develop and launch robust, automated data pipelines that provide stability and accuracy, ensuring analysts can leverage the required customer data in any analytical exercises. End-to-end analytics project ownership including testing and validation of our ETL processes, pipelines, attributes and models. - Identify and integrate new data streams and establish data sources for various marketing metrics. - Work with our enterprise analytics and data science teams to research, prototype and implement new statistical methodologies that extend the portfolio of insights we can provide to the marketing teams. - Passionate about data quality and accuracy, identify incomplete or inaccurate data and proactively monitor for emerging issues. Optimise data pipelines and processes to parse, format and transform source data into units consistent with analytical needs and aligned to the business measurement framework. - In partnership with IT and the marketing enablement team, build a scalable, flexible and extensible middleware / API framework that supports data integration with our third-party marketing technology partners. Qualification In order to be successful in this role, you must meet the below requirements: - 5+ years in analytical research, customer behaviour analysis. - Degree or Honours (12+3 or equivalent) in marketing, Communications, Ecommerce or equivalent. - Experience in analytical research, customer behaviour analysis. - The ideal data engineer will have experience in most (but preferably all) of these skills and an interest in learning them all: - Analytical degree, preferably in statistics or analytical research, with 2-4 years? experience in analysing customer behaviour for marketing purposes. - Statistical analysis skills for marketing purposes (customer segmentation, targeting and profiling, digital attribution, econometric modelling, multivariate and A/B testing). - Experience working with customer segmentation models including descriptive and predictive models. - Data visualization skills and ability to present technical solutions to non-technical audience. - Broad understanding of marketing research, current tools, methods and applications. - Understanding of database architecture and the management / synthesis of data distributed across multiple systems (Excel/Access and SQL). - Broad understanding and experience working with digital marketing technologies including Google Analytics, Google Big Query, DMPs, targeting/digital optimization marketing platforms. - Experience with Tableau or similar data visualization tools. - Proficiency in Microsoft Office Suite. - Strong organizational, communication and presentation skills. - Ability to handle concurrent projects with attention to detail and accuracy. - Experience developing management level reporting. - Ability to translate technical concepts to a broad group of marketing stakeholders. At Emirates, we're committed to providing our employees with opportunities to grow and develop in their careers. So if you're looking for a challenging and rewarding opportunity, apply today and join our team! 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. Find out what it’s like to live and work in our fast-paced, cosmopolitan home city in the Dubai L

5+ years in analytical research, customer behaviour analysis. Degree or Honours (12+3 or equivalent) in marketing, Communications, Ecommerce or equivalent. Experience in analytical research, customer behaviour analysis. The ideal data engineer will have experience in most (but preferably all) of these skills and an interest in learning them all: Analytical degree, preferably in statistics or analytical research, with 2-4 years? experience in analysing customer behaviour for marketing purposes. Statistical analysis skills for marketing purposes (customer segmentation, targeting and profiling, digital attribution, econometric modelling, multivariate and A/B testing). Experience working with customer segmentation models including descriptive and predictive models. Data visualization skills and ability to present technical solutions to non-technical audience. Broad understanding of marketing research, current tools, methods and applications. Understanding of database architecture and the management / synthesis of data distributed across multiple systems (Excel/Access and SQL). Broad understanding and experience working with digital marketing technologies including Google Analytics, Google Big Query, DMPs, targeting/digital optimization marketing platforms. Experience with Tableau or similar data visualization tools. Proficiency in Microsoft Office Suite. Strong organizational, communication and presentation skills. Ability to handle concurrent projects with attention to detail and accuracy. Experience developing management level reporting. Ability to translate technical concepts to a broad group of marketing stakeholders.

Collect, interpret and simplify incoming customer and marketing data across multiple data sources, making it usable for different applications. Work closely with the customer insights and campaign analysts to help them get the most out of our data and enable the discovery of actionable insights that support decision making across CCMB. Drive continuous improvements in extraction, aggregation, profiling, testing and analysis of terabytes of customer data. Effectively apply technology to surface insights automatically, optimise data delivery and simplify self-service support for analysts. Design, develop and launch robust, automated data pipelines that provide stability and accuracy, ensuring analysts can leverage the required customer data in any analytical exercises. End-to-end analytics project ownership including testing and validation of our ETL processes, pipelines, attributes and models. Identify and integrate new data streams and establish data sources for various marketing metrics. Work with our enterprise analytics and data science teams to research, prototype and implement new statistical methodologies that extend the portfolio of insights we can provide to the marketing teams. Passionate about data quality and accuracy, identify incomplete or inaccurate data and proactively monitor for emerging issues. Optimise data pipelines and processes to parse, format and transform source data into units consistent with analytical needs and aligned to the business measurement framework. In partnership with IT and the marketing enablement team, build a scalable, flexible and extensible middleware / API framework that supports data integration with our third-party marketing technology partners.