Design, build, and maintain metrics, dashboards, and data pipelines to support client warehouse operations. You will also configure client solutions, troubleshoot data issues, and provide technical training to ensure successful implementation.
Systems Analyst
Rebus is an end-to-end warehousing strategy company that uses real-time data to manage people, processes, and warehouses through The Rebus® Platform and WMS consulting services purpose-built to expand and enhance warehouse technologies.
We take a holistic approach to warehousing strategy, understanding that technology is only one piece in the solution process. Our warehouse experts work with customers to understand challenges and goals, developing a recommendation that’s aligned to the customer’s business objectives and supply chain initiatives.
What to expect!
As a Systems Analyst, you'll design, build, and maintain the metrics, dashboards, and data pipelines that power our clients' warehouse operations.
You'll work directly with client data: writing and optimizing SQL, configuring solutions, and troubleshooting across relational and non-relational systems, to turn raw data into decisions clients can act on.
This role is Remote in Canada.
Once you join our team, you will…
Design and implement metrics and dashboards based on client requirements, leading configuration end to end
Build data extractions through data mining and analysis; write, optimize, and troubleshoot SQL queries across relational (SQL Server, Oracle, MySQL) and NoSQL (e.g., MongoDB) systems
Configure client solutions and lead quality assurance to ensure implementations meet requirements and drive user adoption
Participate in peer review of queries, metrics, and visualizations; give feedback and maintain clear documentation
Troubleshoot data issues and resolve architecture problems across relational and non-relational databases
Provide technical training to clients as needed
Maintain the team's code repository, including documentation of customer setups, metric design, and SQL development
Retrieve, clean, and manage client data throughout implementation
Collaborate with team members to scope and implement client requirements
Comply with Rebus SOC2 policies and practices
What You'll Bring…
Bachelor's degree in Computer Science, Business Analytics, or a related field
3+ years of experience with SQL Server, Oracle, or MySQL
Experience with MongoDB (aggregation pipeline) or another NoSQL database
Experience working with APIs
Knowledge of at least one major supply chain/WMS platform (Blue Yonder/JDA, HighJump, Manhattan, SAP, etc.)
Knowledge of supply chain and distribution/warehousing processes
Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude) to speed up SQL writing, debugging, and documentation
Nice to have: experience building or configuring automation workflows that incorporate AI/LLM tools for data extraction, cleansing, or documentation
Comfortable working in both Windows and UNIX environments, and with the Microsoft Office suite
Strong problem-solving and analytical skills, with the ability to quickly translate ambiguous requirements into design and implementation
Self-starter who can work independently, multitask, and stay effective under pressure with flexible hours/shifts
Strong written and spoken English
Genuine passion for customer success
Up to 30% travel to customer sites
Why Join Rebus?
Supportive work environment
Work/life balance
Competitive Salary
4-weeks of paid vacation
6 paid sick days, 2 paid personal days per year
Excellent health and dental benefits, eligible as of your first day!
Group RRSP/401k Matching
Work from Home
Rebus is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
We are not able to assist with relocation or work permit applications for this role.
All your information will be kept confidential according to EEO guidelines.
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