Marketing Data Analytics Engineer (US)
Marketing & Communications, Data Science · Full-time
Remote
USD 87k-97k / year
Position Summary:
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.
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.
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.
87000 - 97000 USD a year
At PointClickCare, base salary is one of the many components that make up our total rewards package. The US base salary range for this position is $87,000 - $97,000 + bonus + benefits, non-overtime eligible. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all US locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.
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