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Connor, Clark & Lunn Financial Group

Data Analyst

Data ManagementConfirmed live in the last 24 hours
Full-timeVancouver, BC, Canada

About the Job

Requirements

  • The role requires 3–5 years of experience in data analysis, business systems analysis, data integration, or a related technology role.
  • Strong SQL skills and experience querying and analyzing relational data are required.
  • Experience with enterprise applications such as Salesforce, Dayforce, Greenhouse, or similar customer relationship management, applicant tracking, human resources information systems, or software-as-a-service platforms is required.
  • Knowledge of relational data modelling concepts and data integration principles is required.
  • Experience working with and testing REST APIs, including JSON and API testing tools such as Postman, is required.
  • Strong experience in data validation, reconciliation, and data quality analysis is required.
  • The candidate must be able to document requirements, data mappings, testing activities, and technical processes.
  • Familiarity with Agile delivery practices and software development lifecycles is required.
  • Strong analytical, problem-solving, and troubleshooting skills are required.
  • The candidate must be able to work across technical and non-technical teams, with strong communication and stakeholder management skills.

Responsibilities

  • 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 information accuracy and completeness.
  • 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.
  • Identify opportunities to improve data usability, consistency, and operational efficiency across the organization.

Desired Qualifications

  • 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 human resources, recruiting, customer relationship management, finance, or other enterprise business data.
  • Financial services or other regulated industry experience.

About the Company

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