Data Business Analyst

Data Business Analyst, Data Governance

Location: Toronto, ON (Hybrid, 1 day onsite per week, Thursdays)
Language: Strong written and verbal English communication skills
Duration: Contract, with potential for extension or permanent conversion

About the Opportunity
We are seeking a Data Business Analyst to join a global Data & AI team within a leading professional services organization. This is an exciting opportunity to contribute to an enterprise-wide data transformation, helping build the foundational data models, governance frameworks, and processes that support a modern, connected data platform.

Reporting to the Director of Data Governance, you'll collaborate with data engineers, architects, product teams, and business stakeholders across a growing global team. This role is ideal for someone with a strong foundation in data governance who enjoys translating business needs into meaningful technical solutions.

What's In It for You
• Contribute to a high-impact global data transformation initiative.
• Work alongside experienced data governance, architecture, and engineering professionals.
• Gain exposure to enterprise data platforms, cloud technologies, and AI-readiness initiatives.
• Enjoy a collaborative team environment with a flexible hybrid schedule.
• Opportunity for contract extension or potential permanent conversion.

Your Responsibilities
• Partner with business stakeholders to gather requirements and translate them into technical data specifications.
• Develop conceptual and logical data models that support enterprise data integration and business objectives.
• Support the development of data governance frameworks, policies, and data quality standards.
• Define and maintain metadata structures, business glossaries, data definitions, and data lineage.
• Collaborate with engineering and architecture teams on data mapping and integration across multiple systems.
• Identify opportunities to improve data quality, governance processes, and overall data maturity.

Skills and Qualifications
• 2–5 years of experience in data governance, data management, or a related data-focused business analysis role.
• Strong hands-on SQL skills for data querying, analysis, and validation.
• Proven ability to translate business requirements into technical specifications and data modelling requirements.
• Experience developing conceptual and logical data models, including source-to-target mapping and SQL/NoSQL data structures.
• Knowledge of metadata management, data stewardship, data quality frameworks, and enterprise data governance practices.
• Familiarity with cloud data platforms, data warehousing, ETL/ELT processes, and DAMA-DMBOK principles is an asset.
• Bachelor's degree in a related field; CBAP or a similar certification is considered an asset.

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.