BinSentry Logo

BinSentry

ERP Data Specialist (6 -Month Contract)

Posted One Month Ago
Be an Early Applicant
Hybrid
Kitchener, ON, CAN
Mid level
Hybrid
Kitchener, ON, CAN
Mid level
Lead data stewardship for NetSuite ERP migration: cleanse, validate, reconcile master and financial data; design data governance and quality processes; support UAT and final migration to ensure accurate, reconciled go-live data.
The summary above was generated by AI

About BinSentry

BinSentry is an extremely fast-growing ag-tech company started here in KW.
BinSentry is focused on providing solutions for the agriculture supply chain that help increase efficiency, reduce costs, and enhance profitability. As a leader in the use of artificial intelligence, BinSentry offers technology solutions that pair best-in-class optical sensors with user-friendly software to provide our customers with enhanced forecasting and decision-making capabilities.

With our technology, feed mills and protein producers are enhancing feed ordering efficiency, raising healthier animals, improving employee safety, reducing their environmental footprint and - most significantly - uncovering new savings. Today, BinSentry is monitoring more than 50,000 bins in real time across North America. When it comes to the future of agricultural supply chain management, BinSentry is leading the way. For more information visit www.binsentry.com.

The Role

BinSentry is seeking a Data Steward to help drive our ERP implementation forward and own the integrity of our data through migration. This is a hands-on role combining data stewardship with project coordination — you'll keep the implementation on track while making sure the master and financial data we bring into NetSuite is clean, accurate, and trustworthy from day one.

Key Responsibilities

  • Data stewardship & migration : Analyze, cleanse, validate, and reconcile master data (customers, vendors, items, chart of accounts) and financial data ahead of migration into NetSuite.
  • Data quality processes : Design and document repeatable processes and standards to create and maintain high-quality data post go-live, including data governance, validation rules, and ownership
  • Validation & reconciliation : Verify migrated data against source systems; identify, investigate, and resolve discrepancies; and support user acceptance testing.

What Success Looks Like

  • Successfully support trial data loads into the sandbox environment, identifying and resolving validation errors quickly.
  • Partner with Finance stakeholders during UAT to ensure trial trial balances, AR/AP subledgers, and item catalogs tie back to the exact penny.
  • Support the execution of the final migration of master and opening balances with 100% data reconciliation.
  • Zero business disruption caused by bad data post go-live (e.g., no delayed customer invoicing, misallocated inventory, or broken GL accounts).
  • Deliver documented Data Governance SOPs so the team can maintain high data quality long-term.

Qualifications

Required

  • Bachelor’s degree (or equivalent) in Data Analytics, Accounting or Finance.
  • 3+ years of progressive work experience - including ERP implementations, ideally as a data lead, data steward, or migration analyst.
  • Strong data cleansing, validation, and reconciliation skills; comfort working with large datasets (Excel, CSV, SQL a plus).
  • Solid understanding of master data and financial/accounting data (GL, AP, AR, chart of accounts).
  • Experience defining data governance / data quality processes.
  • Excellent communication and documentation skills; able to work independently in a contract capacity.
  • Organized, detail-oriented, and able to keep multiple workstreams and stakeholders aligned.

Preferred

  • Experience with NetSuite.
  • Prior project coordination experience.

Why Join BinSentry

  • Gain direct exposure to senior Finance leadership and cross-functional teams.
  • Opportunity to develop new skills as the company continues its fast-paced growth trajectory.
  • Mission-driven work: Our technology supports the people and operations that feed the world.

We use artificial intelligence tools to support parts of our recruitment process, such as screening or assessing applications. Final hiring decisions are made by our hiring team.

This posting is for an existing vacancy.

HQ

BinSentry Kitchener, Ontario, CAN Office

121 Charles St W, Kitchener, Ontario, Canada, N2G 1H6

Similar Jobs

42 Minutes Ago
Hybrid
Expert/Leader
Expert/Leader
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Leads the technical strategy, roadmap, architecture, and global delivery of cloud-native Core Network User Plane sub-services. Oversees engineering practices including CI/CD, SRE, DevOps, security, compliance, scalability, reliability, and cost efficiency across incubation, trials, commercial deployment, and scale-up. Builds engineering culture, establishes ways of working and performance metrics, and collaborates with global leadership, architects, engineers, and SRE teams to deliver customer-centric telecommunications products.
Top Skills: 3Gpp4G/5G Core NetworksAgileAWSAzureCi/CdCloud-Native ArchitectureDevOpsDistributed CloudDpdkEbpfEdge ComputingGCPHyperscalersPublic CloudSite Reliability Engineering (Sre)Sr-IovTraffic SteeringUpf
8 Hours Ago
Hybrid
Mississauga, ON, CAN
Entry level
Entry level
eCommerce • Fashion • Retail • Sales • Wearables • Design
Leads store operations for Kate Spade New York, supporting sales performance, customer experience, team development, and achievement of business goals. The role requires strong interpersonal skills, strategic agility, creativity, customer focus, and the ability to provide feedback and build effective teams. Candidates must regularly lift 25 pounds, occasionally lift up to 50 pounds, and maneuver throughout the sales floor and stockroom.
Yesterday
Hybrid
Toronto, ON, CAN
Entry level
Entry level
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Lead Data Scientist analyzing global fraud data to identify patterns, develop predictive models, and prevent payment fraud. The role builds fraud-related products and services, extracts insights from large datasets, collaborates with stakeholders, and presents findings to management and clients. Required skills include Python, Spark, complex data queries, and advanced data analysis. Experience with agentic AI systems and Unix is preferred, along with payments or fraud expertise.
Top Skills: SparkLlm-Based AgentsPythonUnix

What you need to know about the Toronto Tech Scene

Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account