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Marketing Data Analytics Engineer
PointClickCare. Build and maintain data infrastructure behind marketing analytics and pipeline reporting .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Proficient in building and maintaining data infrastructure for marketing analytics, with strong SQL skills for data manipulation and reporting. Familiar with Salesforce and Marketo for backend administration and data pipeline integration.
Highest-signal resume keywords
Strong SQL SkillsData Pipeline DevelopmentSalesforce AdministrationMarketo IntegrationAI Tools Application
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonData Pipeline DevelopmentETLData ModelingData Quality MonitoringCampaign Attribution LogicRelational Data ModelsWorkflow AutomationBI Tools
Tools & Technologies
SalesforceMarketoCloud Data WarehouseAI ToolsAPIs
Industry Keywords
Marketing AnalyticsB2B Demand GenerationCampaign ReportingData ExplorationLead-to-Opportunity Linkage
Tech Stack
Tools & technologiesCloudETLPythonSQL
About the role
Key responsibilities & impact- Build and maintain data infrastructure behind marketing analytics and pipeline reporting
- Design, build, and maintain data pipelines connecting Salesforce, Marketo, and the data warehouse
- Automate recurring campaign reporting workflows
- Write and optimize SQL for reusable datasets, views, queries, dashboards, and leadership reporting
- Strengthen campaign attribution logic, including campaign codes, UTM/campaign member data, and lead-to-opportunity linkage
- Monitor, troubleshoot, and improve data quality across Marketo, Salesforce, and downstream reporting tables
- Apply AI tools such as Claude to accelerate data exploration, documentation, and query development
- Support backend administration and configuration in Salesforce and Marketo
- Document data models, definitions, and processes
- Partner with Marketing Analytics, Demand Generation, and Marketing Operations to support executive-level reporting on marketing-sourced pipeline across Senior Care and Acute & Payer businesses
Requirements
What you’ll need- Bachelor's degree (completed or in final year) in Software Engineering, Computer Science, Data Engineering, or a related technical field
- 0–2 years of applicable experience
- Strong SQL skills, including joins, aggregations, and window functions against large relational datasets
- Working knowledge of at least one programming language used in data work, such as Python, for scripting, automation, or ETL
- Understanding of relational data models and CRM/marketing-automation data structures
- Hands-on exposure to Salesforce or Marketo preferred
- Experience with a cloud data warehouse and BI tools preferred
- Familiarity with AI-assisted development or analytics tools preferred
- Exposure to ETL/ELT tooling, APIs, or workflow orchestration preferred
- Familiarity with marketing funnel metrics or B2B demand generation preferred
- Co-op, internship, or project experience in a data engineering, analytics engineering, or revenue operations context preferred
Benefits
Comp & 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
- In-office events including onboarding, team events, and semi-annual and annual team meetings