Marketing Data Analytics Engineer (CA)

Remote

Posted 1 day ago

PointClickCare

AI summary

The Marketing Data Analytics Engineer will develop and maintain data infrastructure for marketing analytics, focusing on automation of reporting and data flows related to marketing performance using tools like Salesforce and Marketo.

Eligible from: US and Canada

Job Description

Position Summary:

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. 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.

Responsibilities

Key Responsibilities:

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.

Preferred Skills & Experience:

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.

Requirements

Required Skills & Qualifications:

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.

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About the job

Posted on: Oct 9, 2026
Job type: Full-time
Location: Remote or MississaugaRemote

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AI summary

Job Description

Position Summary:

Responsibilities

Key Responsibilities:

Preferred Skills & Experience:

Requirements

Required Skills & Qualifications:

Ready to Apply?

About the job

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