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Data Analyst

Job in Kelowna, BC, Canada
Listing for: Canadian Cancer Society
Full Time position
Listed on 2026-08-20
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Business Systems & Technology Analysis, Business Intelligence
Salary/Wage Range or Industry Benchmark: 70000 - 75000 CAD Yearly CAD 70000.00 75000.00 YEAR
Job Description & How to Apply Below
Job Title:

Data Analyst

Job Title:

Data Analyst
Vacancies:  This posting is for (1) new role

Location:

Toronto, ON | Vancouver, BC | Ottawa, ON | Calgary, AB | Halifax, NS | St John's, NL | Kelowna, BC| Prince George, BC | Montreal, QC | Québec, QC (Detailed office location information can be found by visiting this link: )
Work Model:  Hybrid Work Model
Salary Band:  5 ($70,000 - $75,000 CAD)
HELP SHAPE THE FUTURE OF CANCER CARE IN CANADA  The Canadian Cancer Society works tirelessly to save lives, improve lives and drive collective action against cancer. Together with patients, volunteers, donors and communities across the country, we raise funds to invest in transformative cancer research, we provide a caring support system for everyone affected by cancer and we advocate to governments to create a healthier future for all.

It takes a society to take on cancer - and the Canadian Cancer Society is leading the way
Join an exceptional team of Digital Strategy & Technology professionals helping to power the Canadian Cancer Society’s (CCS) operations and fuel our mission through innovative digital solutions. The Digital Strategy & Technology team is at the forefront of CCS’s digital transformation. Together, they are harnessing digital tools, data and technology to boost fundraising capabilities and enhance the experience of everyone who interacts with us online.

With a passion for continuous improvement and a commitment to making an impact, the team ensures CCS’s digital presence is strategic and engaging, helping us inspire and empower more Canadians who care about cancer every day.
MAKING AN IMPACT   Leverage SQL, scripting, and modern analytics platforms to extract, transform, and analyze complex datasets, delivering actionable insights and recommendations that align with business goals
Partner with business and technical teams to translate business requirements into scalable, reliable, and well-governed analytics solutions
Support a culture of data-driven decision-making by applying automation, engineering best practices, and modern design patterns to improve how data is analyzed, visualized, and utilized across the organization
What You’ll Be Doing   Analytics & Reporting Development
Report & Dashboard Development   Design, develop, and maintain reports and dashboards using Salesforce CRM Analytics, Salesforce Reporting, and Power BI to support organization teams
Build and optimize semantic models and datasets to support business reporting and analytics needs
Optimize reporting and dashboard assets for usability, performance and accessibility
Analytics & Insights   Perform exploratory data analysis to identify trends, patterns, and opportunities across business functions
Translate complex data into clear, actionable insights and recommendations for business teams
Use predictive models and statistical analyses to support donor segmentation, campaign targeting, and fundraising forecasting
Leverage advanced analytics techniques including propensity scoring, trend analysis, and cohort modeling to inform business strategy
Collaboration & Engagement   Partner with cross-functional teams including business partners, data engineers, and digital teams
Provide guidance and support to business users on reporting and analytics tools
Data Development & Transformation
Data Preparation & Processing   Extract, transform, and prepare analytical datasets using SQL, Python and scripting languages
Build and maintain reporting datasets, dataflows, and curated data assets incorporating key metrics and business data
Utilize enterprise data platforms (e.g., Microsoft Fabric) as supporting data sources where required
Data Modeling & Documentation   Contribute to the design and optimization of data models that support reporting and analytics platforms
Develop and maintain documentation for datasets, data definitions, and analytical processes
Operational Excellence
Automation   Automate repetitive reporting, data preparation, and analytics workflows using Python and scripting
Dev Ops   Utilize version control practices for analytics assets, reports, and code
Contribute to CI/CD processes for analytics solution deployment using Azure Dev Ops
Qualit…
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