A Data Analytics Manager leads and develops a team of data analysts. They select, configure and implement analytic solutions; create strategies for effective data analysis and reporting; and build systems to transform raw data into actionable business insights.
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 Hisense USA is an equal opportunity employer and does not discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, disability, or genetic information. We comply with all applicable laws regarding equal employment opportunity and affirmatively seek to recruit, develop, and promote qualified individuals from diverse backgrounds. Our company is committed to providing a work environment that is free from discrimination, harassment, and retaliation. We encourage applicants of all ages, races, ethnicities, religions, genders, sexual orientations, and abilities to apply for employment with our company.
