We are seeking a highly accomplished Data Analyst IV for an enterprise-level contract opportunity. In this role, you will take on a premier data analytics, process automation, and artificial intelligence capacity, specializing in designing, prototyping, and deploying cutting-edge AI-enabled solutions and workflow automations.
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As a principal data analyst, you will bridge the gap between complex business requirements, raw data streams, and modern generative AI frameworks. Operating in a fully remote environment, you will evaluate use-case feasibility, build automated workflows, leverage Large Language Models (LLMs), and generate actionable insights to drive business decision-making. This position is ideal for an analytical authority with strong Python and SQL skills who can engineer AI agents, track experiment outcomes, and engage cross-functional stakeholders while enforcing strict data governance and privacy baselines.
Location: Remote (Canada)
Assignment Type: Fully Remote
Contract Duration: 1-year contract (Possibility for extension and permanent conversion)
Advantages
Cutting-Edge AI & Automation Stack: Direct experience developing with generative AI, agent technologies, LLMs, Microsoft 365 Copilot, Copilot Studio, and Power Automate.
Forefront of Analytics Innovation: Work on high-impact, forward-thinking analytics and insights initiatives using modern tools.
End-to-End Solution Ownership: Lead initiatives independently from initial feasibility assessment and prototyping to deployment, documentation, and user adoption.
Fully Remote Flexibility: Enjoy the convenience and balance of a 100% remote working model.
Responsibilities
Partner closely with business stakeholders to identify, evaluate, and prioritize opportunities for AI, process automation, and advanced data analytics.
Design, prototype, test, and implement automated workflows and decision-support solutions using Microsoft 365 Copilot, Copilot Studio, Power Automate, and approved AI technologies.
Translate complex business requirements and manual operational processes into AI-enabled agents, prompt engineering pipelines, and automated solution patterns.
Conduct process and data exploration using Python and SQL to assess use-case feasibility, data readiness, integration requirements, risks, and expected value.
Independently manage assigned analytics initiatives across all phases, including requirements gathering, technical design, testing, user adoption, and documentation.
Extract, analyze, and interpret high-volume datasets to provide actionable business insights in response to ongoing and ad-hoc requests.
Collaborate with control partners to ensure all deployed analytics and AI solutions comply with corporate risk, privacy, governance, and data security standards.
Create reusable solution templates, technical runbooks, and documentation to support scalable and responsible adoption of AI and automation tools.
Qualifications
Core Technical & AI Capabilities
Analytics & Insights Tenure: Minimum 5 years of progressive experience in advanced data analytics, insights generation, and business process optimization.
Programming & LLM Expertise: 5 years of hands-on experience using Python, SQL, Large Language Models (LLMs), and prompt engineering techniques.
AI Automation & Agent Tech: 5 years of experience building AI automation workflows, including hands-on experience with generative AI solutions, agent tech, Microsoft 365 Copilot, Copilot Studio, or Power Automate.
Stakeholder Management: Proven track record of managing stakeholder relationships, gathering requirements, and communicating quantitative insights effectively.
Education: Post-secondary degree or diploma in Data Science, Computer Science, Statistics, Mathematics, Finance, Business Administration, or a related discipline.
Preferred Assets
Financial Services Context: Prior data analytics or AI experience within a bank, financial institution, or regulated corporate environment is preferred.
Soft Skills & Delivery Attributes
Communication Skills: Excellent oral and written communication skills to articulate complex technical and AI concepts clearly.
Organization & Detail: Exceptional attention to detail, time management, and organizational skills with a strong sense of urgency in delivering results.
Summary
If you're interested in the "Data Analyst IV" role based in Toronto, we encourage you to apply online at www.randstad.ca.
Only qualified candidates will be contacted for the next steps. We look forward to hearing from you!
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
This posting is for existing and upcoming vacancies.
show more
We are seeking a highly accomplished Data Analyst IV for an enterprise-level contract opportunity. In this role, you will take on a premier data analytics, process automation, and artificial intelligence capacity, specializing in designing, prototyping, and deploying cutting-edge AI-enabled solutions and workflow automations.
As a principal data analyst, you will bridge the gap between complex business requirements, raw data streams, and modern generative AI frameworks. Operating in a fully remote environment, you will evaluate use-case feasibility, build automated workflows, leverage Large Language Models (LLMs), and generate actionable insights to drive business decision-making. This position is ideal for an analytical authority with strong Python and SQL skills who can engineer AI agents, track experiment outcomes, and engage cross-functional stakeholders while enforcing strict data governance and privacy baselines.
Location: Remote (Canada)
Assignment Type: Fully Remote
Contract Duration: 1-year contract (Possibility for extension and permanent conversion)
Advantages
...
Cutting-Edge AI & Automation Stack: Direct experience developing with generative AI, agent technologies, LLMs, Microsoft 365 Copilot, Copilot Studio, and Power Automate.
Forefront of Analytics Innovation: Work on high-impact, forward-thinking analytics and insights initiatives using modern tools.
End-to-End Solution Ownership: Lead initiatives independently from initial feasibility assessment and prototyping to deployment, documentation, and user adoption.
Fully Remote Flexibility: Enjoy the convenience and balance of a 100% remote working model.
Responsibilities
Partner closely with business stakeholders to identify, evaluate, and prioritize opportunities for AI, process automation, and advanced data analytics.
Design, prototype, test, and implement automated workflows and decision-support solutions using Microsoft 365 Copilot, Copilot Studio, Power Automate, and approved AI technologies.
Translate complex business requirements and manual operational processes into AI-enabled agents, prompt engineering pipelines, and automated solution patterns.
Conduct process and data exploration using Python and SQL to assess use-case feasibility, data readiness, integration requirements, risks, and expected value.
Independently manage assigned analytics initiatives across all phases, including requirements gathering, technical design, testing, user adoption, and documentation.
Extract, analyze, and interpret high-volume datasets to provide actionable business insights in response to ongoing and ad-hoc requests.
Collaborate with control partners to ensure all deployed analytics and AI solutions comply with corporate risk, privacy, governance, and data security standards.
Create reusable solution templates, technical runbooks, and documentation to support scalable and responsible adoption of AI and automation tools.
Qualifications
Core Technical & AI Capabilities
Analytics & Insights Tenure: Minimum 5 years of progressive experience in advanced data analytics, insights generation, and business process optimization.
Programming & LLM Expertise: 5 years of hands-on experience using Python, SQL, Large Language Models (LLMs), and prompt engineering techniques.
AI Automation & Agent Tech: 5 years of experience building AI automation workflows, including hands-on experience with generative AI solutions, agent tech, Microsoft 365 Copilot, Copilot Studio, or Power Automate.
Stakeholder Management: Proven track record of managing stakeholder relationships, gathering requirements, and communicating quantitative insights effectively.
Education: Post-secondary degree or diploma in Data Science, Computer Science, Statistics, Mathematics, Finance, Business Administration, or a related discipline.
Preferred Assets
Financial Services Context: Prior data analytics or AI experience within a bank, financial institution, or regulated corporate environment is preferred.
Soft Skills & Delivery Attributes
Communication Skills: Excellent oral and written communication skills to articulate complex technical and AI concepts clearly.
Organization & Detail: Exceptional attention to detail, time management, and organizational skills with a strong sense of urgency in delivering results.
Summary
If you're interested in the "Data Analyst IV" role based in Toronto, we encourage you to apply online at www.randstad.ca.
Only qualified candidates will be contacted for the next steps. We look forward to hearing from you!
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
This posting is for existing and upcoming vacancies.
show more
