Marketing Data Analytics Engineer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Develop and sustain data infrastructure that underpins marketing analytics and pipeline reporting.

• Create, implement, and uphold data pipelines that link Salesforce, Marketo, and the data warehouse.

• Streamline recurring campaign reporting workflows through automation.

• Author and refine SQL for reusable datasets, views, and queries that drive dashboards and executive reporting.

• Enhance campaign attribution logic, which includes campaign codes, UTM/campaign member data, and lead-to-opportunity connections.

• Oversee, diagnose, and enhance data quality across Marketo, Salesforce, and related reporting tables.

• Utilize AI tools such as Claude to expedite data exploration, documentation, and query creation.

• Assist with backend administration and setup in Salesforce and Marketo.

• Document data models, definitions, and processes to ensure consistent self-service marketing metrics.

• Collaborate with Marketing Analytics, Demand Generation, and Marketing Operations teams.

• Facilitate executive-level reporting on marketing-sourced pipeline for Senior Care and Acute & Payer sectors.

⛳️ Requirements

• Bachelor's degree (completed or in final year) in Software Engineering, Computer Science, Data Engineering, or a closely related technical field.

• 0–2 years of relevant experience.

• Proficient SQL skills, including joins, aggregations, and window functions applied to large relational datasets.

• Basic knowledge of at least one programming language used in data tasks, such as Python, for scripting, automation, or ETL processes.

• Familiarity with relational data models and CRM/marketing-automation data architectures.

• Hands-on experience with Salesforce or Marketo.

• Background in cloud data warehousing and BI tools.

• Knowledge of AI-assisted development or analytics tools such as Claude.

• Familiarity with ETL/ELT tools, APIs, or workflow orchestration.

• Understanding of marketing funnel metrics or B2B demand generation.

• Relevant co-op, internship, or project experience in data engineering, analytics engineering, or revenue operations.

• Strong analytical skills and attention to detail.

• Willingness to learn new tools, systems, and business contexts.

🏝️ Benefits

• Benefits commencing 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.

• Bonus opportunities.

• In-office events, including onboarding, team activities, and semi-annual and annual gatherings.