Description
PointClickCare'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.
Key Responsibilities:
- Design, build, and maintain data pipelines connecting Salesforce, Marketo, and the data warehouse to support marketing performance reporting.
- Automate recurring campaign reporting workflows and write/optimize SQL to build reusable datasets, views, and queries that power dashboards and leadership reporting.
- Strengthen campaign attribution logic and monitor, troubleshoot, and improve data quality across Marketo, Salesforce, and downstream reporting tables.
- Apply AI tools to accelerate data exploration, documentation, and query development.
- Support backend administration and configuration in Salesforce and Marketo.
Required Skills & Qualifications:
- Bachelor's degree in Software Engineering, Computer Science, Data Engineering, or a related technical field.
- 0 – 2 years of applicable experience.
- Strong SQL skills.
- Working knowledge of at least one programming language used in data work (e.g., Python).
- Understanding of relational data models and how CRM/marketing-automation data is structured.
Preferred Skills & Experience:
- Hands-on exposure to Salesforce or Marketo.
- Experience with a cloud data warehouse and BI tools.
- Familiarity with AI-assisted development or analytics tools.
- Exposure to ETL/ELT tooling, APIs, or workflow orchestration.
- Familiarity with marketing funnel metrics or B2B demand generation.
Benefits & Perks:
- Benefits starting from Day 1!
- Retirement Plan Matching
- Flexible Paid Time Off
- Wellness Support Programs and Resources
- Parental & Caregiver Leaves
- Fertility & Adoption Support
- Continuous Development Support Program
- Employee Assistance Program
- Allyship and Inclusion Communities
- Employee Recognition