3 results for It Business Intelligence Analyst in Ajax, ON

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

Data Engineer

Toronto, ON
onsite
Permanent
100000 - 120000 CAD / Yearly
Robert Half is working with a global, consumer‑facing organisation 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>
2026-05-14T00:00:00Z