Sr. Business Intelligence Analyst, Corp Strategy & Analytics
Core
Design and develop executive-level dashboards, reporting solutions, and automated analytics tools to support strategic, data-driven decision-making for senior leadership.
Role type
Senior Business Intelligence Analyst (Corporate Strategy & Analytics)
Builds
Executive dashboards, automated analytics tools, and self-service reporting solutions
Domain
Manufacturing / Corporate Strategy
Deliverable
dashboards & analysis
Required skills
Power BI, Excel, DAX, data modeling, data visualization, data governance, SQL, ERP integration, CRM integration, data pipeline development, KPI definition
Preferred skills
Master data management, external data source integration, root-cause analysis
Technologies
Power BI, Excel, SQL, ERP systems, CRM platforms
Responsibilities
Design, develop, and maintain scalable, automated, and user-friendly dashboards, reports, and analytics solutions to support executive decision-making. Define, standardize, and continuously improve key business metrics and KPIs in collaboration with functional leaders. Develop cross-functional reporting solutions, self-service analytics tools, and data visualizations that enable faster, data-driven decisions. Build and optimize Power BI semantic data models, including DAX measures, calculated columns, hierarchies, and relationships, ensuring accurate and reliable reporting. Research, acquire, and integrate external data sources to expand analytical capabilities and provide additional business context. Connect and integrate data from ERP systems, CRM platforms, manufacturing systems, SQL databases, spreadsheets, cloud applications, and third-party sources. Develop and maintain robust, automated data pipelines to support consistent data availability across reporting platforms. Establish and maintain enterprise-wide data definitions, KPI calculations, business rules, and master data standards. Monitor and improve data quality through governance processes, validation rules, exception reporting, and root-cause analysis. Contribute to master data management initiatives across enterprise systems, covering customers, products, suppliers, materials, chart of accounts, and other critical data domains. Partner with senior leadership and cross-functional stakeholders to translate business questions into meaningful analytical insights.