Our GTA based client is looking to hire a Sr Product Data Analyst. This organization is redefining data management by building the cornerstone of modern data infrastructure. Their secure, structured platform serves as the data hub for personal, healthcare, and business applications. By eliminating inefficiencies, reducing errors, and enhancing collaboration, it empowers users to take control of their data in ways that transform both their daily lives and business operations.
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As they develop a new, cutting-edge platform leveraging advanced AI technologies, they need passionate professionals who are eager to build, innovate, and be part of a growing company. This is a foundational role, and selected candidates will be considered for equity in the company..
The Sr. Product Data Analyst will play a key role in both data engineering and product management, with a stronger emphasis on engineering and technical execution. The successful candidate will contribute to building a robust AI-driven platform and take ownership of product development. This role reports directly to the Chief Technology Officer.
Advantages
Join a team of high ownership caring individuals
Work on a high-impact AI-driven data platform that is transforming industries.
Join a startup culture with secured funding for the next three years.
Be a foundational team member with potential equity opportunities.
Collaborate with a passionate and innovative team that treats each other like family.
Focus on Professional Development
Responsibilities
Key Responsibilities
Conduct complex research and analysis to support business initiatives, projects, and product development.
Identify and implement strategies to improve data quality, integrity, and usability.
Define, document, and communicate analytical business requirements.
Extract meaningful insights from data and translate them into actionable recommendations.
Develop and execute data quality analysis plans, ensuring continuous monitoring and resolution of data discrepancies.
Work with internal stakeholders to extract maximum value from data.
Design, optimize, and maintain conceptual, logical, and physical data models.
Support setup and execution of data quality analysis frameworks.
Collaborate with teams to ensure compliance with governance standards.
Assist with overall project management and sprint planning.
Act as a primary liaison for clients, gathering business requirements and ensuring alignment between technical teams and stakeholders.
Lead product grooming sessions and collaborate across functional groups.
Conduct competitive analysis and contribute to product vision and roadmap planning.
Ensure clear, structured communication of findings and recommendations to key stakeholders.
Qualifications
Required Skills & Qualifications
12+ years of experience in data analysis, data management, and data engineering.
Proficiency in SQL programming and experience in data modeling (dimensional & relational).
Strong expertise in ETL development, data migration, and database administration.
Hands-on experience with data quality tools and frameworks.
Solid understanding of cloud-based data platforms (e.g., AWS, Azure, GCP) and AI technologies (training provided as needed).
Experience working in an Agile development environment.
Strong ability to communicate complex technical concepts to both technical and non-technical audiences.
Exceptional analytical skills, with the ability to derive insights and identify anomalies in large data sets.
Entrepreneurial mindset with a passion for innovation and problem-solving.
Soft Skills & Cultural Fit
The hiring manager places a strong emphasis on personality and cultural alignment. We are looking for:
Integrity and strong values – Trust is critical in this role.
Excellent communication skills – Clear articulation and active listening are essential.
Empathy and collaboration – This role is client-facing and requires strong interpersonal skills.
High ownership mindset – Someone who is proactive, solution-driven, and takes accountability.
Adaptability to a startup culture – Candidates must be excited about working in a fast-paced, evolving environment.
Summary
If you are excited about this opportunity and want to be part of an industry-defining journey, apply now!
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.
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Our GTA based client is looking to hire a Sr Product Data Analyst. This organization is redefining data management by building the cornerstone of modern data infrastructure. Their secure, structured platform serves as the data hub for personal, healthcare, and business applications. By eliminating inefficiencies, reducing errors, and enhancing collaboration, it empowers users to take control of their data in ways that transform both their daily lives and business operations.
As they develop a new, cutting-edge platform leveraging advanced AI technologies, they need passionate professionals who are eager to build, innovate, and be part of a growing company. This is a foundational role, and selected candidates will be considered for equity in the company..
The Sr. Product Data Analyst will play a key role in both data engineering and product management, with a stronger emphasis on engineering and technical execution. The successful candidate will contribute to building a robust AI-driven platform and take ownership of product development. This role reports directly to the Chief Technology Officer.
Advantages
Join a team of high ownership caring individuals
...
Work on a high-impact AI-driven data platform that is transforming industries.
Join a startup culture with secured funding for the next three years.
Be a foundational team member with potential equity opportunities.
Collaborate with a passionate and innovative team that treats each other like family.
Focus on Professional Development
Responsibilities
Key Responsibilities
Conduct complex research and analysis to support business initiatives, projects, and product development.
Identify and implement strategies to improve data quality, integrity, and usability.
Define, document, and communicate analytical business requirements.
Extract meaningful insights from data and translate them into actionable recommendations.
Develop and execute data quality analysis plans, ensuring continuous monitoring and resolution of data discrepancies.
Work with internal stakeholders to extract maximum value from data.
Design, optimize, and maintain conceptual, logical, and physical data models.
Support setup and execution of data quality analysis frameworks.
Collaborate with teams to ensure compliance with governance standards.
Assist with overall project management and sprint planning.
Act as a primary liaison for clients, gathering business requirements and ensuring alignment between technical teams and stakeholders.
Lead product grooming sessions and collaborate across functional groups.
Conduct competitive analysis and contribute to product vision and roadmap planning.
Ensure clear, structured communication of findings and recommendations to key stakeholders.
Qualifications
Required Skills & Qualifications
12+ years of experience in data analysis, data management, and data engineering.
Proficiency in SQL programming and experience in data modeling (dimensional & relational).
Strong expertise in ETL development, data migration, and database administration.
Hands-on experience with data quality tools and frameworks.
Solid understanding of cloud-based data platforms (e.g., AWS, Azure, GCP) and AI technologies (training provided as needed).
Experience working in an Agile development environment.
Strong ability to communicate complex technical concepts to both technical and non-technical audiences.
Exceptional analytical skills, with the ability to derive insights and identify anomalies in large data sets.
Entrepreneurial mindset with a passion for innovation and problem-solving.
Soft Skills & Cultural Fit
The hiring manager places a strong emphasis on personality and cultural alignment. We are looking for:
Integrity and strong values – Trust is critical in this role.
Excellent communication skills – Clear articulation and active listening are essential.
Empathy and collaboration – This role is client-facing and requires strong interpersonal skills.
High ownership mindset – Someone who is proactive, solution-driven, and takes accountability.
Adaptability to a startup culture – Candidates must be excited about working in a fast-paced, evolving environment.
Summary
If you are excited about this opportunity and want to be part of an industry-defining journey, apply now!
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.
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