7 results for It Business Intelligence Analyst in Ajax, ON

IT Asset Management Analyst

Thornhill, ON
onsite
Permanent
40000 - 65000 CAD / Yearly
We are looking for an IT Asset Management Analyst to join a service-focused team in Thornhill, Ontario. This position blends IT asset management with hands-on desktop support, requiring someone who can oversee equipment throughout its lifecycle while also assisting end users with device setup and technical issues. The successful candidate will help maintain accurate inventory data, support hardware deployment and recovery, and contribute to a reliable and well-organized IT environment. Responsibilities: • Oversee the full lifecycle of IT equipment, including acquisition, identification, documentation, reassignment, and secure retirement of assets. • Prepare, image, configure, and deploy desktop and laptop systems, as well as virtual machines, in line with service requests and project timelines. • Work closely with suppliers and service providers to manage ordering, delivery, repairs, maintenance activities, and end-of-life disposal for devices and peripherals. • Maintain current and accurate asset information using enterprise tracking platforms and endpoint management tools such as Intune and asset discovery solutions. • Monitor device locations, status, and condition across the main office and additional sites to support visibility and control of inventory. • Perform scheduled inventory reviews and audits to verify records, resolve discrepancies, and improve overall asset accuracy. • Administer software entitlement records by tracking licence allocation and removal to support compliance with vendor terms and internal standards. • Respond to asset-related tickets and user support requests, including hardware troubleshooting, re-imaging returned devices, and preparing equipment for reuse. • Assist with device provisioning and collection during employee onboarding, offboarding, and other staffing changes. • Use Power BI reporting to review asset health, inventory trends, and software usage data to support informed decision-making.
2026-06-23T00:00:00Z

Risk Analyst

Toronto, ON
remote
Permanent
60000 - 90000 CAD / Yearly
Our client a major financial services company based in Central GTA has a current opening for a Fraud Analyst. Reporting to the Manager, Fraud Analytics, this role supports fraud prevention and detection strategy by delivering analysis, insights, and reporting. The Analyst enhances controls, monitors fraud trends, and supports continuous improvement across Fraud Management & Corporate Security programs. Key Responsibilities<ul><li>Analyze fraud data and monitor effectiveness of detection strategies; recommend enhancements</li><li>Support development of controls, policies, dashboards, and reporting frameworks</li><li>Perform quality control reviews to ensure compliance and audit readiness</li><li>Conduct root cause and trend analysis on fraud losses and emerging risks</li><li>Enhance and automate reporting (Power BI, dashboards, scorecards)</li><li>Partner with business and technology teams to implement system improvements</li><li>Support fraud investigations and complex case analysis</li><li>Identify and integrate new data sources for reporting and analytics</li><li>Contribute to fraud strategy, tools evaluation, and industry research</li><li>Prepare regular and ad-hoc reporting on fraud metrics and performance</li></ul>
2026-06-17T00:00:00Z

Risk Analyst

North York, ON
onsite
Permanent
60000 - 80000 CAD / Yearly
Robert Half Canada is seeking a Risk Analyst on behalf of our client, a purpose-driven, member-focused organization in the insurance and services sector.This opportunity is suited for a detail-oriented professional who is interested in enterprise risk management, cross-functional collaboration, and supporting effective risk practices across a complex organization. The successful candidate will help coordinate risk programs, support governance activities, contribute to policy and framework updates, and assist in enhancing risk reporting and monitoring processes. Key Responsibilities<ul><li>Support the implementation of enterprise risk management tools, practices, and techniques</li><li>Coordinate risk-related programs and initiatives from initiation through completion, ensuring deadlines and deliverables are met</li><li>Manage team schedules and calendars, including meetings, deadlines, and task coordination</li><li>Use technology tools such as dashboards and task management platforms to monitor progress and support accountability</li><li>Identify opportunities to improve processes and team efficiency through technology and workflow enhancements</li><li>Provide administrative and organizational support for quarterly executive risk committee activities, including scheduling, agenda preparation, documentation, and follow-up items</li><li>Coordinate with internal stakeholders to support the timely submission and review of committee materials</li><li>Develop an understanding of the organization’s operating environment to support risk identification, assessment, and monitoring activities</li><li>Collaborate across teams to update and maintain risk-related policies, frameworks, and procedures in alignment with internal standards and regulatory requirements</li><li>Assist in the development and ongoing enhancement of key risk indicators</li><li>Promote risk awareness and support the continuous improvement of risk management capabilities across the organization</li><li>Support business partners by sharing risk management best practices, including policy and guideline development</li><li>Contribute to the enhancement of risk appetite frameworks, including risk exposure metrics, monitoring approaches, and escalation processes</li><li>Support the administration of technology used for signature management on contracts and policies</li></ul>
2026-06-12T00:00:00Z

Data Scientist

North York, ON
onsite
Permanent
100000 - 120000 CAD / Yearly
This job posting is for a current vacancy with our client. We are seeking an experienced Data Scientist for our client's growing Analytics team. The Data Scientist will be based in Toronto, Ontario, where they will turn complex data into practical insights that support business decisions. A core focus of this role includes machine learning expertise, data engineering capability, and analytical thinking to develop scalable solutions in a Databricks environment. You will work closely with technical and business teams to build reliable models, improve data workflows, and communicate findings in a clear and meaningful way. Key Responsibilities:• Develop, implement, and operationalize machine learning models and analytical solutions within Databricks to address business needs.• Create and support scalable data pipelines using Apache Spark, including PySpark or Scala, to process large and diverse datasets efficiently.• Examine both structured and unstructured data sources to identify trends, generate forecasts, and support data-driven decision-making.• Partner with engineers, analysts, and business stakeholders to define objectives and translate them into practical data science solutions.• Use Lakehouse principles in Databricks to manage data ingestion, transformation, storage, and model deployment in a streamlined manner.• Apply disciplined machine learning practices across feature creation, model training, testing, deployment, and ongoing performance monitoring.• Produce dashboards, visual summaries, and reports that present analytical results clearly for technical and non-technical audiences.• Maintain strong standards for data accuracy, governance, security, and compliance throughout analytics and machine learning workflows.• Improve the performance, scalability, and cost effectiveness of Databricks processing and model execution environments.
2026-06-07T00:00:00Z

Financial Analyst

Markham, ON
onsite
Permanent
60000 - 75000 CAD / Yearly
Position Summary The Accounting Analyst / Financial Analyst will support accurate and timely financial processing with a primary focus on retailer deductions, accounts receivable reconciliations, accruals, customer chargebacks, and month-end support. The role requires strong analytical judgment, disciplined follow-through, and the ability to work with internal teams, retailers, and principals to investigate discrepancies and resolve account issues efficiently. Key Responsibilities • Process retailer deductions in accordance with customer agreements, company financial policies, and established procedures. • Reconcile retailer deductions and customer account balances by verifying transactions, reviewing supporting documentation, and comparing system reports to the general ledger. • Prepare and maintain standard monthly accruals, reconciliations, and related supporting schedules. • Assist with month-end principal statements and respond professionally to internal and external inquiries regarding deductions, accruals, reconciliations, and account balances. • Investigate freight discrepancies, pricing issues, deductions, and customer chargebacks; identify root causes and coordinate with internal departments and customers to resolve disputed claims. • Perform day-to-day accounting transactions, including verifying, classifying, coding, and recording transactions accurately and on a timely basis. • Provide backup support to the Accounts Payable team, including invoice processing, coding, and payment preparation during absences and peak workload periods. • Support interim and year-end audit processes by preparing schedules, compiling documentation, and responding to audit information requests. • Maintain accurate financial records and ensure compliance with company policies, accounting standards, and internal control expectations. • Participate in process improvement initiatives to improve accuracy, efficiency, documentation quality, and issue-resolution turnaround times. • Perform other accounting and finance duties as assigned.
2026-07-06T00:00:00Z

Financial Analyst

North York, ON
onsite
Permanent
75000 - 100000 CAD / Yearly
We are looking for a Financial Analyst to support financial planning, reporting, and analysis activities for a growing team in Toronto, Ontario. In this role, you will turn financial and operational data into clear insights that help guide business decisions, improve reporting accuracy, and strengthen day-to-day accounting support. The ideal candidate brings strong analytical ability, comfort with financial systems, and a practical approach to working across finance-related functions. Responsibilities: • Analyze financial and operational information to identify trends, variances, and opportunities that support business planning and decision-making. • Prepare recurring and on-demand financial reports, ensuring findings are presented clearly for internal stakeholders. • Contribute to budgeting and forecasting activities by gathering inputs, reviewing assumptions, and monitoring results against plan. • Use accounting and financial software tools to maintain data accuracy, support reporting processes, and improve efficiency in analysis workflows. • Develop meaningful insights from large data sets through data mining techniques and structured financial review. • Create and refine report outputs using tools such as Crystal Reports to meet business and finance reporting needs. • Support accounting operations by assisting with reconciliations, financial records review, and other core finance-related tasks. • Collaborate with cross-functional teams to collect information, respond to ad hoc financial requests, and ensure timely delivery of analysis. • Assist with updates or changes to reporting systems and processes when required, while maintaining continuity and data integrity.
2026-07-06T00:00:00Z

Data Engineer

Toronto, ON
onsite
Permanent
100000 - 120000 CAD / Yearly
Robert Half is working with a global, consumer‑facing organization that’s scaling its data platform to better support marketing, sales, and customer analytics. They’ve recently invested heavily in their data stack and are growing their Data Engineering team to meet rising demand from the business.This is an intermediate‑level role where you’ll work closely with marketing stakeholders, BI, and software engineering to deliver trusted, analytics‑ready data. What you’ll be doing<ul><li>Partner directly with Marketing and Sales teams to understand data requirements</li><li>Design and build data models that power dashboards and analysis</li><li>Build and maintain data pipelines end‑to‑end</li><li>Work with cloud data platforms to ensure performance and reliability</li><li>Collaborate closely with BI and software engineering teams</li></ul>Tech environment<ul><li>Cloud data warehouse (AWS‑based, Redshift‑style)</li><li>SQL & Python</li><li>dbt for data modelling</li><li>Fivetran (or similar) for ingestion</li><li>Airflow for orchestration</li><li>BI tooling (Looker‑type stack)</li><li>Strong Salesforce / marketing data footprint</li><li>(Marketing Cloud / CRM / customer data experience is highly relevant)</li></ul>
2026-06-25T00:00:00Z