Data Analyst

Interested in joining one of Canadas top performing asset managers We are looking for a Data Analyst to join our Enterprise Data Solutions this role youll help build integrated reliable and scalable data solutions that support business decision-making across the organization. Working with enterprise platforms such as Salesforce Greenhouse and Dayforce youll collaborate with business and technology partners to analyze data support system integrations improve data quality and contribute to impactful enterprise-wide data initiatives. If youre curious analytical and enjoy working at the intersection of business data and technology this could be an exciting next step in your career. Our offices operate on a hybrid model with three days per week in-office to support team collaboration.

What You Will Do

• Analyze and profile data across enterprise systems to identify trends issues and opportunities for improvement.
• Partner with business and technology stakeholders to gather requirements and translate them into data solutions.
• Support the design and development of scalable data models and data structures for reporting analytics and integrations.
• Collaborate with data engineers and application teams to define and validate data transformation rules.
• Test and validate REST APIs integrations and data flows between business applications and data platforms.
• Perform data quality reconciliation and validation activities to ensure accuracy and completeness of information.
• Develop and execute test cases for data mappings APIs and end-to-end integration processes.
• Document data models mappings integration requirements and technical processes.
• Participate in Agile delivery activities including testing defect resolution and release validation.
• Help identify opportunities to improve data usability consistency and operational efficiency across the organization.

What You Bring

• 3-5 years of experience in data analysis business systems analysis data integration or a related technology role.
• Strong SQL skills with experience querying and analyzing relational data.
• Experience working with enterprise applications such as Salesforce Dayforce Greenhouse or similar CRM ATS HRIS or SaaS platforms.
• Knowledge of relational data modelling concepts and data integration principles.
• Experience working with and testing REST APIs including JSON and API testing tools such as Postman.
• Strong experience in data validation reconciliation and data quality analysis.
• Excellent analytical problem-solving and troubleshooting skills.
• Ability to document requirements data mappings testing activities and technical processes.
• Strong communication and stakeholder management skills with the ability to work across technical and non-technical teams.
• Familiarity with Agile delivery practices and software development lifecycles.

• Experience with Power BI or other reporting and analytics platforms.
• Experience with Python or another scripting language.
• Exposure to cloud-based data platforms data warehouses or modern data technologies.
• Experience working with HR recruiting CRM finance or other enterprise business data.
• Financial services or other regulated industry experience.

The starting salary for this position is $110000 - $130000. The starting salary provided reflects the base salary for this position as required by addition there is an annual performance bonus which contributes to the total compensation of this position. Further questions may be directed to the HR team during the interview process.

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For a closer look at how you can build your career with us we invite you to explore .

We are committed to providing an inclusive accessible recruitment and selection process. We welcome and encourage applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the recruitment and selection process. Please contact if you require accommodation.

AI may be used to support certain stages of our screening & recruitment process. These tools support but do not replace human judgment and decision-making.