Hybrid Data Analyst - Enterprise Data & Insights

Connor, Clark & Lunn group; Vancouver; Hybrid; CAD 110,000 - 130,000; Full time

Job summary

Connor, Clark & Lunn group is seeking a Data Analyst to join the Enterprise Data Solutions team in Vancouver. You will help build integrated, reliable data solutions that support decision-making across the organization, working with Salesforce, Dayforce, Greenhouse, and other enterprise platforms.

The role blends business, data, and technology, requires 3–5 years in data analysis, strong SQL, and experience with data modeling, REST APIs, and BI tools like Power BI.

Qualifications

• 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 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 with testing REST APIs, including JSON and API testing tools like 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.

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 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.

Skills

Analytical thinking

Problem solving

Communication

Stakeholder management

Documentation

Agile familiarity

Tools

Salesforce

Dayforce

Greenhouse

Postman

Power BI

Python

Job description

Connor, Clark & Lunn group is seeking a Data Analyst to join the Enterprise Data Solutions team in Vancouver. You will help build integrated, reliable data solutions that support decision-making across the organization, working with Salesforce, Dayforce, Greenhouse, and other enterprise platforms.

The role blends business, data, and technology, requires 3–5 years in data analysis, strong SQL, and experience with data modeling, REST APIs, and BI tools like Power BI.