Data Analytics Engineer - Shenzhen

Purpose of Position The Data Analytics Engineer will be responsible for designing, building, and maintaining scalable analytics data solutions that support CASETiFY’s business intelligence, KPI reporting, dashboarding, and insight generation across the organization. The incumbent will work closely with BI, Data Engineering, product, business, and operations teams to ensure analytics data is trusted, structured, and readily available for decision-making. The incumbent is expected to bring solid hands-on experience in analytics engineering, data modeling, metric definition, data transformation, and report development, with practical understanding of how to bridge raw data and business reporting needs. This role will contribute to building strong semantic foundations, consistent KPI logic, scalable datasets, and high-quality reporting outputs using BI tools such as Tableau and Power BI in a fast-paced and dynamic environment. Job Description Design, build, and maintain analytics-ready datasets, transformation logic, and semantic models to support dashboards, KPI reporting, and business analysis, Work closely with BI, Data Engineering, and business stakeholders to understand reporting requirements and translate them into scalable analytics data solutions, Develop and maintain curated data models, reusable metrics, and governed datasets that support management reporting, self-service analytics, and insight generation, Develop and enhance reports, dashboards, and visualization outputs using reporting tools such as Tableau or Power BI to support recurring and ad hoc business reporting, Define and implement transformation logic, business rules, and data mappings to ensure consistency and trust in analytics outputs across functions, Support KPI setup and metric governance by aligning definitions, calculation logic, metadata, and reporting standards across different business domains, Ensure dashboards and reports are supported by reliable, efficient, and well-structured data