Marketing Data Analytics Engineer (US)

PointClickCare

5d•$87,000 - $97,000•Remote

About The Position

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.

Requirements

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.

Nice To Haves

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.

Responsibilities

Design, build, and maintain data pipelines connecting Salesforce, Marketo, and the data warehouse (e.g., BigQuery) to support marketing performance reporting.
Automate recurring campaign reporting workflows and write/optimize SQL to build reusable datasets, views, and queries that power dashboards and leadership reporting.
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.
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 (fields, objects, sync rules, campaign structures), and document data models, definitions, and processes so metrics stay consistent and self-serve for marketing stakeholders.