Bilingual Data Analytics Manager
Hisense USA · Alpharetta, GA · 1 mo ago
On-siteAnalystFull-time
Job Summary
Lead the U.S. enterprise data analytics framework, BI reporting, AI-enabled analytics, data governance, and knowledge governance. Support management decision-making by delivering standardized, intelligent, and business-driven analytics capabilities. Ensure alignment with Global Headquarters' data standards while meeting U.S. business needs.
Responsibilities
- Plan and continuously improve the U.S. enterprise analytics framework and KPI system across Sales, Service, Supply Chain, Finance, and Operations.
- Design, develop, maintain, and optimize Power BI dashboards, executive dashboards, and standardized reporting solutions.
- Drive AI + BI integration, including intelligent insights, anomaly detection, forecasting, and natural language analytics.
- Lead data governance, master data management, data quality improvement, metadata, lineage, and knowledge governance.
- Support executive management with monthly, quarterly, annual, and ad-hoc business analysis and root cause analysis.
- Build reusable KPI dictionaries, semantic models, certified datasets, and self-service BI capabilities.
- Collaborate with Global Headquarters to ensure KPI definitions, reporting structures, and governance standards remain consistent.
- Provide user training and promote enterprise-wide data literacy.
Qualifications
- Bachelor's degree or above in Statistics, Mathematics, Computer Science, Business Analytics, Finance, or a related field.
- 5+ years of experience in BI, business analytics, or data governance.
- Strong Power BI, DAX, Power Query, and semantic modeling skills.
- Experience with enterprise KPI design, executive reporting, and cross-functional stakeholder management.
- Knowledge of AI-powered analytics, RAG, and modern BI platforms is preferred.
- Fluency in both spoken and written English and Mandarin is required.
Preferred Qualifications
- Experience in enterprise digital transformation and Microsoft Fabric.
- Experience with SAP, supply chain, retail, or consumer electronics industries.
- Professional certifications in Data Analytics, BI, or Data Governance.