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bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things. Do you love problem solving and thinking beyond an obvious solution? Are you passionate about data accuracy and improving operational efficiency by managing complex data and information delivery? We are! Our Retail Business Intelligence team within ASO is looking for a resourceful, energetic Senior Data Engineer to lead and assist with the data needs of projects by crafting creative solutions to deliver data to end users. You'll work with cross-functional teams to stitch data from various systems into unified, high-performance and low-latency reporting layers for end-to-end analyses of projects. Join us, and you'll help provide the data needed for the organization to effectively run the business and improve our customer experiences across the world.
Description
Working in a global organization, this position plays a substantial role in defining how data is structured, organized and evaluated for consistent understanding and interpretation. A key success factor for this role is the ability to understand diverse partner needs, investigate complex data sets and propose creative solutions to senior management and business partners. In this role, you will: Day-to-day responsibilities include partnering with IT teams to build critical data pipelines, ad hoc data analyses, troubleshooting data and supporting project teams during all stages of projects including, requirement gatherings, gap reviews, development and testing. Other responsibilities include: - Engage as a SME in global multi-functional projects to ensure the planned impact will be measurable and quantifiable - Define how data is structured, organized and interpreted by building certified datasets for consistent analytics and reporting - Work closely with project managers, stakeholders and IT to deliver data requirements by leading the reporting track from requirements gathering through to successful UAT - Develop web reports and analytical tools - Define, build and deploy relevant metrics and perform ad hoc analyses - Provide consultation and training to users of analytical tools and data sets - Lead regular design and code reviews and perform debugging and coding to resolve issues - The ideal candidate has a real passion for quality and an ability to understand complex systems
Minimum Qualifications
4+ years of SQL experience with advanced-level proficiency
Extensive Semantic layer (ESL) development experience in relational database and data lake environments
Experience with data visualization tools (e.g.: Tableau)
Fluent in English and Mandarin
BA/BS or equivalent experience in Information Technology, Mathematics, Computer Science, or a minimum of 6 years directly relatable experience
Preferred Qualifications