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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong analytical skills and attention to detail in operations and quality assurance, with a focus on data quality and accuracy. Proficient in using APIs, structured data, and automation tools to enhance operational efficiency and maintain high standards in fleet monitoring and inventory management.
Highest-signal resume keywords
Data AnalysisQuality AssuranceInventory ManagementAPIs and Automation PlatformsProblem-Solving
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisQuality AssuranceInventory ManagementSQLScriptingAutomationTechnical SupportOperational Data ReviewPerformance InvestigationDocumentation
Soft Skills
Analytical SkillsAttention to DetailClear Written CommunicationOrganizational SkillsCollaboration Skills
Tools & Technologies
APIsDashboardsAutomation PlatformsBusiness-Intelligence ToolsAI-Enabled Tools
Industry Keywords
IoT DevicesFleet MonitoringIndustrial TechnologyAgricultureFeed OperationsGrain Operations
Tech Stack
Tools & technologiesIoTSQL
About the role
Key responsibilities & impact- Own recurring fleet-quality reviews using operational data and automated monitoring tools
- Investigate equipment performance, installation, configuration, data-quality, and operating-condition issues
- Document findings, track next steps, and escalate issues to appropriate teams
- Review customer inventory comparisons and validation tests
- Compare BinSentry results with inventory movements, weight records, inventory reports, automation data, and manual measurements
- Distinguish system-performance issues from configuration, operating-condition, or reference-information differences
- Summarize results, confidence levels, contributing factors, and recommended actions
- Maintain searchable records of fleet-quality reviews and accuracy tests
- Validate bin, site, sensor, installation, and survey information
- Correct or flag missing, inconsistent, or conflicting information
- Turn manual or loosely defined tasks into documented, repeatable workflows
- Use APIs, structured data, dashboards, automation platforms, and AI-enabled tools to improve efficiency while maintaining human quality control
- Partner with Product and Engineering on internal software or data-access improvements
Requirements
What you’ll need- At least 3 years of experience in operations, quality assurance, data analysis, technical support, inventory management, or a similar analytical environment
- Strong analytical and problem-solving skills
- Excellent attention to detail and commitment to data quality and accuracy
- Clear written communication, including the ability to turn detailed investigations into concise conclusions and recommended next steps
- Strong organizational and collaboration skills
- Confidence working with numerical data, spreadsheets, dashboards, and internal software
- Willingness to learn tools that improve and automate recurring work
- Ability to work in the Kitchener office most days of the week
- Preferred: experience with IoT devices, hardware-enabled software, fleet monitoring, industrial technology, or technical operations
- Preferred: experience using APIs, structured data, SQL, scripting, automation platforms, business-intelligence tools, or AI-enabled tools
- Preferred: experience in agriculture, feed or grain operations, inventory management, or another industrial environment
Benefits
Comp & perks- Work across operations, data, hardware, software, and AI with a collaborative team
- Work directly influencing product quality, customer trust, and sensor-fleet reliability
- Opportunity to shape operational processes and tools as the company grows
