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Marketing Data Analytics Engineer

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Logoslabs
Full Time position
Listed on 2026-10-22
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering
Salary/Wage Range or Industry Benchmark: 85000 - 125000 USD Yearly USD 85000.00 125000.00 YEAR
Job Description & How to Apply Below

At Point Click Care  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 Point Click Care , 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 Point Click Care , check out Life at Point Click Care  and connect with us on Glassdoor and Linked In.

Position Summary:

Point Click Care 's Marketing organization is hiring a Marketing Data Analytics Engineer to build and maintain the data infrastructure behind marketing analytics and pipeline reporting. This hands-on, backend-focused role works across Salesforce, Marketo, and the data warehouse, increasingly leveraging AI-assisted analytics tools such as Claude, to streamline how campaign performance data is captured, connected, and reported. The role partners closely with Marketing Analytics, Demand Generation, and Marketing Operations to turn recurring reporting needs into automated, trustworthy data flows that directly support executive-level reporting on marketing-sourced pipeline across the Senior Care and Acute & Payer businesses.

Key Responsibilities:
  • Data Pipelines & Integrations: Design, build, and maintain data pipelines connecting Salesforce, Marketo, and the data warehouse (e.g., Big Query) 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.

Required Skills &

Qualifications:
  • Bachelor's degree (completed or in final year) in Software Engineering, Computer Science, Data Engineering, or a related…

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