Business Intelligence & Digital Solutions Manager
Job in
Toronto, Ontario, C6A, Canada
Listed on 2026-07-07
Listing for:
Midea America Canada
Full Time
position Listed on 2026-07-07
Job specializations:
-
IT/Tech
Data Analyst, Business Intelligence, Business Systems/ Tech Analyst
Job Description & How to Apply Below
About Midea America Canada Corporation (MACC):
Midea America Canada Corporation (MACC) is a global leader in home appliances manufacturing, dedicated to improving the lives of consumers through innovative, high-quality products. At MACC, we pride ourselves on fostering creativity and excellence in every aspect of our work.
- Lead the development and maintenance of Power BI dashboards, KPI scorecards, and management reporting.
- Provide business insights and analysis to support strategic and operational decision‑making.
- Ensure reporting accuracy, consistency, and data governance standards across the organization.
- Partner with business teams to improve visibility into sales performance, inventory, forecasting, pricing, and operational metrics.
- Design, develop, and maintain OLAP/analytical data models and reporting structures that support cross‑functional decision‑making.
- Develop and maintain data warehousing solutions, including ETL processes that integrate data from ERP, CRM, and operational sources.
- Implement data quality checks and validation procedures to ensure data accuracy, completeness, and consistency across reporting platforms.
- Monitor and optimize the performance of data solutions to ensure they meet business requirements and service‑level standards.
- Identify opportunities to simplify, standardize, and improve business processes.
- Lead process improvement initiatives that increase efficiency, accountability, and execution effectiveness.
- Support the development of scalable workflows and business procedures.
- Drive continuous improvement initiatives across commercial and operational functions.
- Identify opportunities to automate manual processes through digital tools and technology solutions.
- Lead implementation of reporting automation, workflow automation, and productivity improvement initiatives.
- Evaluate emerging technologies, AI tools, and digital solutions that can improve business performance.
- Support adoption of digital tools across the organization.
- Collaborate closely with Sales, Product Management, Operations, Finance, and Marketing teams to understand business requirements.
- Translate business challenges into reporting, process, and technology solutions.
- Support forecasting, NPI tracking, pricing analysis, promotional analysis, and business reviews.
- Act as a trusted advisor on reporting, analytics, and process improvement opportunities.
- Lead, coach, and develop Business Intelligence team members.
- Set priorities, allocate resources, and ensure timely execution of team deliverables.
- Build organizational capability in reporting, analytics, and digital solutions.
- Foster a culture of ownership, continuous improvement, and customer‑focused problem solving.
- Coordinate internal resources, external consultants, contractors, and shared service support when required.
- Ensure appropriate allocation of resources between routine data management activities and higher‑value business enablement initiatives.
- Drive automation and process improvements to reduce manual reporting and data maintenance efforts.
- Improved reporting quality and business visibility.
- Increased automation and reduction of manual processes.
- Improved forecast reporting and business performance tracking.
- Successful delivery of process improvement and digital transformation initiatives.
- Effective development and utilization of BI team resources.
- Advanced Power BI development and dashboard design, including data modelling, DAX, and report publishing via Power BI Service.
- Solid SQL and data analysis capabilities, including proficiency in T‑SQL, query optimization, and stored procedure development.
- Experience with SQL Server and SSAS cube/OLAP development.
- Experience designing and implementing ETL processes to integrate data from multiple sources into centralized data warehouses.
- Advanced Microsoft Excel skills, including Power Query, pivot tables, and financial modelling.
- Intermediate Python skills for data processing, automation scripting, and analytics; experience with…
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