Location: Toronto, ON, Hybrid, 2 days on-site
Language: English, fluent in both written and spoken communication
Background Check Requirement: Successful completion of a criminal background check
About the Opportunity
This is an exciting opportunity to join a member-focused, national professional institute during a pivotal stage of its digital transformation. As the Data & Analytics Specialist, you’ll play a key role in turning data into insight, insight into action, and action into meaningful impact for members and internal teams alike.
Working closely with IT, leadership, and cross-functional stakeholders, you’ll help embed a data-driven culture across the organization. Your work will directly support smarter decision-making, stronger member engagement, and the responsible use of data as a strategic asset within a complex, mission-driven environment.
What’s in it for You
You’ll join a collaborative, purpose-driven workplace that values curiosity, accountability, and continuous learning. This organization is committed to modern tools, ethical data practices, and creating space for innovation. You’ll have the opportunity to influence strategy, build enterprise-wide solutions, and grow your skills in analytics, governance, and emerging technologies, all within a culture that supports balance and professional development.
Your Responsibilities
You’ll design and maintain scalable data pipelines, environments, and automated workflows that support analytics and reporting needs.
In this role, you’ll develop dashboards, reports, and predictive models that enable data-driven decision-making across departments.
You’ll help shape and enhance data governance frameworks, ensuring data quality, privacy, and regulatory compliance.
You’ll partner with business teams to understand data needs and translate them into actionable solutions.
You’ll support data literacy by delivering training, documentation, and guidance to staff across the organization.
Skills and Qualifications
3+ years of experience in data analytics, business intelligence, or data engineering
Strong hands-on experience with SQL and BI tools such as Power BI or Tableau
Experience designing data pipelines, data models, and scalable analytics solutions
Working knowledge of data governance, privacy, and compliance standards
Proficiency with Python, R, or similar analytics or automation tools
Strong communication skills, with the ability to translate insights for diverse audiences
Note from the Hiring Manager
“We’re looking for someone who’s curious about data, thoughtful about impact, and excited to help our organization make smarter decisions together. If you enjoy collaborating and building solutions that matter, we’d love to meet you.”
Why Partner with Altis
If you’ve never worked with a staffing agency before, we make it easy. We work with top employers across Canada who have great jobs to fill, each vetted and verified by our team. When you apply for a job with Altis, we get to know you as a candidate and learn what your strengths are. Then, if you’re a solid match, we handle all the logistics, advocating for you as a candidate for the role, providing access to coaching and connecting you directly with the hiring manager. And rest assured, all our services are free of cost for candidates.
We appreciate the time and effort all applicants invest in their submissions. Please note that only candidates shortlisted for this role will be contacted directly. However, your profile will remain under consideration for future opportunities that align with your experience and career goals. All qualified applicants will receive fair consideration for employment. We welcome individuals of all backgrounds, experiences, and identities including those who identify as women, members of racialized groups, Indigenous Peoples, persons with disabilities, and 2SLGBTQIA+ communities. If you require an accommodation, please review our
accessibility policy and reach out to our accessibility officer with any questions. Our human recruiters review all applications and always make the final hiring decision. On occasion, we also use AI-assisted tools to help review applications.