The Data Analytics Lead will be responsible for data analytics, data sourcing, distribution, and data quality within Prime Services and working with other……
[must have] 3+ year of experience as a data engineer. Accuracy and efficiency in the data handling process. Develop comprehensive data solutions that support……
Build ETL flows for streaming data transformations for data analyses. Enhance data collection procedures to include information that is relevant for building……
Work with engineers/developers to realize the proposed algorithms in big data environment. Propose and design algorithm solutions for automated text, image and……
Strong understanding of data governance, data quality, metadata management and data catalog practices. 5+ years of proven experience in data architecture, data……
Security and compliance expertise: RBAC, data masking, tenant settings, GDPR/data residency awareness. Collaborate with data platform and engineering teams to……
Experience with MLOps, data pipelines, and scalable infrastructure design. Design and implement scalable systems such as automation, predictive analytics, and……
Able to label collected data, transfer learning on Tensorflow or Openvino, is a plus. Build software application in embedded device or server, including but not……
Implement robust data quality & governance practices, with automated validation and comprehensive technical documentation across pipelines, transformations and……
Personal data of unsuccessful applicants will be retained for a maximum period of 6 months. Manage build/release of all Dev, Test, Production environment.…
Expert in data architecture, data modelling and design, data pipeline and data integration. Ensure that data is highly available and reusable for enabling data……
3 to 5 years’ experience in business process re-engineering, data analytics, software engineering or enterprise automation roles hands-on experience with low/no……
Translate complex business needs into technical requirements and functional specifications that are comprehensible to engineers and data specialists.…
Collaborate with data engineers to align BI models with backend data structures. Optimize semantic data models to improve report performance and responsiveness.…
Support our ability to deliver new data and analytics products to customers and partners. Our software platform provides monitoring data to both customers and……
Partner with our client’s leadership teams, engineers, program managers and data analysts to understand data needs. Fluency in English and Cantonese is a must.…
Adapts departmental plans and priorities to address resource and operational challenges. Proven experience leading AI, automation, or advanced analytics……
Engage clients to translate their business problem statements to outcome-driven enterprise data analytics solutions and strategy and ensure delivery excellence……
Has pulled data from SAP or comparable ERP into a warehouse and survived upstream failures without silent data loss. Decisions take hours, not weeks.…
Architect & Implement: Design and actively build scalable cloud data platforms, data lakes, and modern data warehouses. Cantonese/Mandarin is a strong plus.…
Experience using analytics data to inform design decisions. Participate in the definition and maintenance of user interface guidelines and design patterns with……
Work with a team of designers and engineers to understand clients’ requirements, to propose and create remarkable digital solutions that deliver both business……
You will work closely with blockchain researchers, data engineers, and backend teams to deliver low-latency APIs and large-scale data insights powering our DeFi……
Able to read trading logs, execution data, and on-chain analytics. Experience with API/Websocket data pipelines and real-time monitoring systems.…
Solid technical experience in datalake, data warehouse and data mart design, batch/real-time data integration (ETL/ELT), data visualization, and data analytics.…
Build and maintain the end-to-end analytics data pipeline, ensuring data flows smoothly from source systems through transformation to dashboards and reports
Develop and manage ETL / ELT processes to collect, transform, and prepare data from multiple systems for analytics and reporting use
Design and maintain data storage structures that are reliable, easy to maintain, and optimized for reporting performance
Create and maintain data transformations, queries, and logic to ensure data is structured, accurate, and ready for business analysis
Ensure the accuracy, consistency, and reliability of data by performing validation checks, monitoring data quality, and maintaining clear definitions of metrics and KPIs
Work closely with business stakeholders to understand reporting needs, define key measures, and translate business requirements into practical data solutions
Design, build, and maintain dashboards and reports that provide clear insights and support both operational needs and management decision-making
Apply sound data visualization principles to ensure dashboards are easy to understand, consistent, and user-friendly
Document data models, transformation logic, and reporting definitions to support transparency, knowledge sharing, and ongoing maintenance
Requirements
Bachelor’s degree in Information Systems, Computer Science, Data Analytics, or a related discipline
At least 3 years of relevant experience in data analytics, business intelligence, analytics engineering, or a similar role
Experience developing data pipelines and ETL processes using tools such as Azure Data Factory, Azure Synapse, Microsoft Fabric, Databricks, and SQL
Strong proficiency in SQL, with solid experience using Power BI DAX
Experience working with large data models and datasets, including both structured and semi-structured data, for reporting and analysis purposes
Hands-on experience designing, developing, and maintaining dashboards and reports using Power BI, Tableau, or similar BI tools
Ability to work closely with business users to understand reporting requirements and translate them into data solutions and dashboards
Strong attention to data accuracy and data quality, with a well-organized and detail-oriented approach
Good communication skills and the ability to work collaboratively with cross-functional teams
Gleneagles always prioritizes staff’s well-being and work-life balance. Join us now to enjoy our enhanced leave package with Family Care Leave, Birthday Leave, etc! We also offers Voluntary Provident Fund Scheme - employer's contributions including MPF equal to 8% of employee's basic salary, with no cap. Join us and let us be your long-term partner through your journey of career development!