Business Intelligence Specialist
- Invermay, SK, Canada
Basic wage is from 2250 EUR + 13th salary. · Full-time
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Job details
- Pay
- Basic wage is from 2250 EUR + 13th salary.
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
This role works closely with global sourcing, supply chain, plant operations, quality assurance, finance, and leadership teams to turn operational data into actionable insights that improve manufacturing performance and support strategic decision-making.
Responsibilities
Responsibilities
- Develop, maintain, and enhance analytical solutions using Microsoft Fabric, Power BI, and Databricks to support supply chain and operational performance.
- Build scalable data models, dimensional structures, and automated data pipelines that integrate information from enterprise systems and manufacturing environments.
- Support new acquisitions by mapping, validating, and standardizing operational and supply chain data during onboarding.
- Investigate data quality issues that affect production planning, scheduling accuracy, material availability, safety reporting, and quality management.
- Analyze performance data to reveal trends in equipment reliability, throughput efficiency, downtime, scrap, labor utilization, safety incidents, and customer delivery.
- Create dashboards and performance indicators covering production efficiency, labor productivity, inventory integrity, order fulfillment, supplier performance, and operational cost.
- Support continuous improvement efforts by identifying waste, inefficiencies, bottlenecks, and opportunities for automation or process redesign.
- Provide reporting that strengthens decisions related to demand alignment, capacity planning, scheduling, procurement optimization, and manufacturing stability.
- Bachelor’s degree in Computer Science, Information Systems, Supply Chain Management, Operations Management, Engineering, Finance, or a related field.
- A minimum of two years of hands-on experience with Power BI and Microsoft Fabric (preferred), including advanced data modeling and analytical development.
- Experience working with Databricks, data lakes, and large-scale data integration is strongly preferred.
- Understanding of operational and manufacturing processes, production planning, workflow efficiency, quality management, safety practices, and plant performance.
- Knowledge of supply chain principles, procurement, sourcing, inventory management, and total cost considerations.
- Experience working with enterprise resource planning systems; familiarity with systems such as SAP, Infor Syteline, or JD Edwards is beneficial.
- Proficiency in SQL, data modeling, transformation logic, and enterprise data architecture concepts.
- Strong analytical abilities with the capacity to interpret complex operational and supply chain information.
- Ability to identify root causes, diagnose operational inefficiencies, and recommend data-driven solutions.
- Effective communicator capable of working across technical and non-technical teams, including plant managers and senior leadership.
- Strong organizational and project management abilities with the capacity to support multiple initiatives across global sites.
- 13th salary
- Home office
- Flexible working hours
- Contribution to Pension Funds
- Contribution to workforce regeneration
- Rich social program and company activities
More about this job
Responsibilities
Develop and maintain data models, pipelines, dashboards, and analytical solutions to monitor manufacturing, supply chain, and operational performance. Investigate data quality issues, identify inefficiencies and trends, and provide insights that support planning, procurement, continuous improvement, and strategic decisions.
Requirements
A bachelor’s degree in a relevant field and at least two years of hands-on Power BI and Microsoft Fabric experience are specified, with Databricks, data lakes, and large-scale integration strongly preferred. Candidates should have SQL and data modeling proficiency, knowledge of manufacturing and supply chain operations, and strong analytical, communication, and project management abilities.
Skills
- Power BI
- Microsoft Fabric
- Databricks
- SQL
- Data Modeling
- Data Integration
- Data Pipelines
- Supply Chain Analytics
- Manufacturing Analytics
- Operational Performance Analysis
- Dashboard Development
- Data Quality Management
- Root Cause Analysis
- ERP Systems
- Process Improvement
- Stakeholder Communication
Benefits
- 13th Salary
- Home Office
- Flexible Working Hours
- Pension Fund Contribution
- Social Program and Company Activities
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Manufacturing
- Logistics
- Technology
- Management & Leadership
Keywords
- Microsoft Fabric
- Power BI
- Databricks
- SQL
- Data Lakes
- Data Modeling
- Dimensional Modeling
- Data Pipelines
- Data Integration
- Enterprise Data Architecture
- Enterprise Resource Planning
- SAP
- Infor Syteline
- JD Edwards
- Supply Chain
- Global Sourcing
- Procurement
- Inventory Management
- Manufacturing Operations
- Production Planning
- Capacity Planning
- Quality Management
- Safety Reporting
- Performance Indicators
- Dashboard Development
- Data Quality
- Continuous Improvement
- Root Cause Analysis
- Process Redesign
- Operational Efficiency