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5 results for Data Analyst Validation Migration in Etobicoke, ON

Business Analytics/Data Analyst
  • Toronto, ON
  • onsite
  • Temporary
  • 38 - 45 CAD / Hourly
  • <p><strong>Data Evaluation &amp; Impact Measurement Analyst</strong></p><p><strong>Onsite Downtown Toronto</strong></p><p><strong>Job Summary</strong></p><p>The Data Evaluation &amp; Impact Measurement Analyst leads the organization’s efforts to assess program effectiveness, measure social impact, and provide data-driven advice to leadership. This role is responsible for analysis, KPI development and tracking, impact reporting, and translating findings into recommendations for management and external stakeholders. The position also oversees data visualization and dashboard development to support clear communication, informed decision-making, and stakeholder engagement.</p><p><strong>Key Responsibilities</strong></p><ul><li>Develop and manage frameworks for <strong>monitoring, evaluation, and impact measurement</strong> across programs and initiatives</li><li>Analyze program and organizational data to assess outcomes, effectiveness, and opportunities for improvement</li><li>Define, track, and report on <strong>KPIs</strong>, performance indicators, and outcome metrics aligned with strategic goals</li><li>Provide <strong>advice to management</strong> by translating data findings into actionable recommendations</li><li>Lead impact analysis to demonstrate program value to leadership, funders, donors, and partners</li><li>Create and maintain <strong>dashboards, visual reports, and stakeholder-facing data interfaces</strong></li><li>Present findings in a clear, compelling way for both technical and non-technical audiences</li><li>Collaborate with program teams, leadership, fundraising, and external stakeholders to understand reporting and impact measurement needs</li><li>Ensure data quality, consistency, and integrity across systems and reporting processes</li><li>Support grant reporting, board reporting, strategic planning, and program improvement efforts</li><li>Identify trends, risks, gaps, and opportunities through ongoing analysis</li><li>Promote a culture of evidence-based decision-making across the organization</li></ul>
  • 2026-09-04T00:00:00Z
Data Engineer
  • Guelph, ON
  • onsite
  • Permanent
  • 90000 - 110000 CAD / Yearly
  • <p>Robert Half is looking to hire a Data Engineer for a current opening with an organization that is rapidly expanding. Please take a look at the summarized information below and apply if you are a good fit!</p><p><br></p><p>Role: Data Engineer</p><p>Location: KW Region</p><p>Industry: Confidential</p><p>Compensation: $90k to $110k + Bonus + Vacation / PTO + Strong Benefits + Great work culture!</p><p>Requirements:</p><p>• Data engineering and pipelines: Hands-on experience with Microsoft Fabric, Lakehouse, Data Factory, Dataflows Gen2, notebook development, enterprise data integration, pipeline orchestration, and cloud-based analytics architectures. </p><p>• SQL and data modelling: Proficiency in data transformation, dimensional models, KPI implementation, curated datasets, performance tuning, and optimization. </p><p>• Python-based development: Utilization of Python for data processing, workflow automation, validation, quality controls, and operational data engineering. </p><p>• Reporting and governance enablement: Support for Power BI semantic models, curated datasets, data governance, lineage, operational documentation, and reliable and auditable data operations. </p><p>• Strategic fit: Alignment with enterprise reporting modernization, Microsoft Fabric expansion, and stronger data governance and analytics capabilities. </p>
  • 2026-08-20T00:00:00Z
Data Scientist
  • North York, ON
  • onsite
  • Permanent
  • 100000 - 115000 CAD / Yearly
  • <p><strong><u>This job posting is for a current vacancy with our client.</u></strong></p><p><br></p><p>We are seeking an experienced Data Scientist for our client&#39;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. </p><p><br></p><p>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.</p><p><br></p><p>Key Responsibilities:</p><p>• Develop, implement, and operationalize machine learning models and analytical solutions within Databricks to address business needs.</p><p>• Create and support scalable data pipelines using Apache Spark, including PySpark or Scala, to process large and diverse datasets efficiently.</p><p>• Examine both structured and unstructured data sources to identify trends, generate forecasts, and support data-driven decision-making.</p><p>• Partner with engineers, analysts, and business stakeholders to define objectives and translate them into practical data science solutions.</p><p>• Use Lakehouse principles in Databricks to manage data ingestion, transformation, storage, and model deployment in a streamlined manner.</p><p>• Apply disciplined machine learning practices across feature creation, model training, testing, deployment, and ongoing performance monitoring.</p><p>• Produce dashboards, visual summaries, and reports that present analytical results clearly for technical and non-technical audiences.</p><p>• Maintain strong standards for data accuracy, governance, security, and compliance throughout analytics and machine learning workflows.</p><p>• Improve the performance, scalability, and cost effectiveness of Databricks processing and model execution environments.</p>
  • 2026-08-18T00:00:00Z
Business Analyst
  • Toronto, ON
  • onsite
  • Permanent
  • 85000 - 100000 CAD / Yearly
  • <p>Robert Half Canada is partnering with a confidential organization to hire a <strong>Business Analyst</strong>. This opportunity is suited to a thoughtful and detail-oriented professional who enjoys working with stakeholders to understand business needs, improve processes, and support practical, data-informed solutions.</p><p><strong> </strong></p><p><strong>Position Summary</strong></p><p> The Business Analyst will work closely with business and cross-functional teams to gather requirements, analyze processes, identify opportunities for improvement, and support the delivery of business and operational initiatives. The person in this role will help translate business needs into clear documentation and actionable recommendations while contributing to a collaborative and inclusive work environment.</p><p><strong> </strong></p><p><strong>Key Responsibilities</strong></p><ul><li>Collaborate with stakeholders to gather, document, and validate business requirements</li><li>Analyze current processes, workflows, and systems to identify gaps, risks, and improvement opportunities</li><li>Develop business requirements documents, process maps, user stories, and other project documentation</li><li>Support solution design, testing, implementation, and change management activities</li><li>Facilitate meetings, workshops, and discussions with internal stakeholders and project teams</li><li>Track project progress, action items, and deliverables to support timely execution</li><li>Assist in data analysis, reporting, and the development of business insights to support decision-making</li><li>Work with technical and non-technical teams to help ensure shared understanding of project goals and requirements</li><li>Contribute to process improvement initiatives and continuous improvement efforts</li><li>Maintain accurate records, documentation, and status updates throughout the project lifecycle</li></ul><p><br></p>
  • 2026-09-03T00:00:00Z
Business Systems Analyst
  • Toronto, ON
  • onsite
  • Permanent
  • 120000 - 130000 CAD / Yearly
  • <p>We are looking for an experienced Business Systems Analyst to support enterprise initiatives that connect business priorities with technology and data solutions in Toronto, Ontario. This role works closely with investment, operations, finance, risk, compliance, and technology teams to clarify needs, improve processes, and strengthen decision-making through well-defined requirements and analysis. The successful candidate will contribute to transformation efforts by examining current workflows, shaping future-state processes, and supporting data-focused solutions that enhance efficiency, governance, and reporting.</p><p><br></p><p><strong>Key areas of focus would be: </strong></p><ul><li>Business/Stakeholder Partnership &amp; Requirements Management</li><li>Process Mapping &amp; Business Transformation</li><li>Data Analysis &amp; Data Mapping </li><li>AI Integration &amp; Innovation/Enablement</li><li>Solution Delivery &amp; Implementation – includes the UAT process</li></ul><p><strong>Responsibilities:</strong></p><p>• Work with cross-functional stakeholders to gather objectives, identify operational needs, and convert business priorities into clear functional, technical, and data requirements.</p><p>• Lead discovery meetings and working sessions to assess existing processes and uncover opportunities for stronger efficiency, control, and scalability.</p><p>• Review and document present-state workflows, then help define improved future-state business processes across investment and operational functions.</p><p>• Perform data mapping across interconnected platforms, establishing source-to-target relationships, transformation logic, and business rules for downstream use.</p><p>• Trace data movement and dependencies between internal and external systems to support reporting accuracy and stronger information governance.</p><p>• Identify opportunities to reduce manual effort through technology-enabled improvements, including the responsible use of AI-driven capabilities where appropriate.</p><p>• Partner with project teams, architects, developers, product owners, and external vendors to support the delivery and implementation of business solutions.</p><p>• Contribute to organizational change and user adoption activities by helping teams understand new processes, tools, and data practices.</p>
  • 2026-09-02T00:00:00Z