Marketing Data Analytics Engineer (CA)

At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.

With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.

At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.

Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.

Travel to Office expectations For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.

For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.

Data Pipelines & Integrations: Design, build, and maintain data pipelines connecting Salesforce, Marketo, and the data warehouse (e.g., BigQuery) to support marketing performance reporting. Reporting Automation & Analytics Enablement: Automate recurring campaign reporting workflows and write/optimize SQL to build reusable datasets, views, and queries that power dashboards and leadership reporting. Campaign Attribution & Data Quality: Strengthen campaign attribution logic (campaign codes, UTM/campaign member data, lead-to-opportunity linkage) and monitor, troubleshoot, and improve data quality across Marketo, Salesforce, and downstream reporting tables. AI-Enabled Analytics Workflows: Apply AI tools such as Claude to accelerate data exploration, documentation, and query development, while maintaining rigor and accuracy in production reporting. Systems Support & Documentation: Support backend administration and configuration in Salesforce and Marketo (fields, objects, sync rules, campaign structures), and document data models, definitions, and processes so metrics stay consistent and self-serve for marketing stakeholders.

Bachelor's degree (completed or in final year) in Software Engineering, Computer Science, Data Engineering, or a related technical field. New graduates are encouraged to apply. 0 – 2 years of applicable experience. Strong SQL skills: comfortable writing joins, aggregations, and window functions against large relational datasets. Working knowledge of at least one programming language used in data work (e.g., Python) for scripting, automation, or ETL. Understanding of relational data models and how CRM/marketing-automation data is structured (leads, contacts, accounts, campaigns, opportunities). Highly analytical and detail-oriented, with a strong bias toward automating repetitive work. Intellectually curious and open-minded, with a genuine thirst to learn new tools, systems, and business context.

Hands-on exposure to Salesforce (SOQL, reports, campaign objects, admin concepts) or Marketo (programs, smart campaigns, field sync). Experience with a cloud data warehouse (BigQuery, Snowflake, Redshift) and BI tools (Power BI, Looker, Tableau). Familiarity with AI-assisted development or analytics tools, such as Claude or similar large language model platforms. Exposure to ETL/ELT tooling, APIs, or workflow orchestration (e.g., dbt, Airflow, Fivetran, or equivalent scripting). Familiarity with marketing funnel metrics (MQLs, opportunities, pipeline) or B2B demand generation. Co-op, internship, or project experience in a data engineering, analytics engineering, or revenue operations context.