
Diqi Liu
Telecommunications
About Diqi Liu:
Highly motivated, collaborative and communicative data engineer with extensive experience in designing and implementing business intelligence solutions. Expertise in creating interactive dashboards, optimizing complex data queries, and integrating various data sources to drive strategic decisions. Proficient in SQL, Power BI and data visualization with a strong background in data modelling and ETL processes. Eager to excel in a BI Developer role and contribute to a dynamic and forward-thinking team.
Experience
Huawei Technologies Co., Ltd.
Data Engineer Mar 2021 - Jul 2023
• Business Intelligence Enhancement: Spearheaded the development of dashboards for Supplier Performance Management, integrating data from 1,800+ suppliers, significantly improving decision-making processes.
• Advanced SQL Development: Optimized complex SQL queries for enhanced data extraction and transformation, ensuring data accuracy and timeliness.
• Data Visualization & Reporting: Led the design of interactive reports and visualizations using Power BI, effectively communicating key metrics to stakeholders.
• ETL Processes & Data Modeling: Designed and implemented robust ETL processes using Hadoop and SAP HANA, ensuring high data quality and adherence to compliance standards. Expertly crafted data models to support comprehensive reporting and analytics.
• Cross-Functional Collaboration: Collaborated closely with supply chain, IT, and business intelligence teams to align data initiatives with business objectives, ensuring seamless integration and impactful results
Education
University of Chester
Master of Science in Computer Science 2023-2024
Specializing in Software Development (Java), Web Systems (HTML, CSS, JavaScript), Bio-Inspired Computing.
Lancaster University
Master of Science in Marketing Analytics 2019-2020
Skills in R, SAS and Excel. Distinction in dissertation forecasting for a UK retailer.
South China Normal University
Bachelor of Management in Exhibition Economy and Management 2015-2019
Focus on business management and marketing. Awarded for outstanding dissertation on customer experience.
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