Marketing Data Analytics Engineer
New
P
PointClickCareHealthcare technology
Remote, USAFull-TimeEntry
SalaryThe US base salary range for this position is $87,000 - $97,000 + bonus + benefits
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Job Details
- Experience
- 0 – 2 years of applicable experience.
- Required Skills
- PythonSQLMicrosoft Power BISalesforceSnowflakeBigQueryRedshiftLooker
Requirements
- Have a bachelor's degree, completed or in the final year, in Software Engineering, Computer Science, Data Engineering, or a related technical field.
- Have 0–2 years of applicable experience.
- Demonstrate strong SQL skills, including joins, aggregations, and window functions against large relational datasets.
- Have working knowledge of at least one programming language used in data work, such as Python, for scripting, automation, or ETL.
- Understand relational data models and how CRM/marketing-automation data is structured, including leads, contacts, accounts, campaigns, and opportunities.
- Have hands-on exposure to Salesforce or Marketo, or both.
- Have experience with a cloud data warehouse and BI tools.
- Be familiar with AI-assisted development or analytics tools, such as Claude or similar large language model platforms.
- Have exposure to ETL/ELT tooling, APIs, or workflow orchestration.
- Be familiar with marketing funnel metrics or B2B demand generation.
Responsibilities
- Design, build, and maintain data pipelines connecting Salesforce, Marketo, and the data warehouse, such as BigQuery.
- Automate recurring campaign reporting workflows.
- Write and optimize SQL to build reusable datasets, views, and queries for 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 while maintaining rigor and accuracy in production reporting.
- Support backend administration and configuration in Salesforce and Marketo, including fields, objects, sync rules, and campaign structures.
- Document data models, definitions, and processes for consistent metrics and self-serve marketing reporting.
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