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Added 9 mins ago
Senior Data Scientist
TripleLift
Toronto, ON
Added 24 mins ago
M
Senior Java Full Stack Developer
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- Full-time
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Java or Golang (Go)
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Added 54 mins ago
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- $140,000 to $180,000 CAD / year
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Added 8 hours ago
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Miratech
Toronto, ON · Greater Toronto Area, Canada
- Full-time
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Added 10 hours ago
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Senior Java Full Stack Developer
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- Full-time
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Java Full Stack with React Developer
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JBT Marel

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: Nov 25, 2026
Posting language: English
Posted: Oct 26, 2026

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

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.

Qualifications

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.

Knowledge And Skills

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.

What´s in it for you?

13th salary
Home office
Flexible working hours
Contribution to Pension Funds
Contribution to workforce regeneration
Rich social program and company activities

Basic wage is from 2250 EUR + 13th salary. A higher salary may be agreed based on the candidate’s skills and experience.

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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

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

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