Marketing Data Analytics Engineer

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

📋 Description

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

• Create, construct, and uphold data pipelines that integrate Salesforce, Marketo, and the data warehouse.

• Streamline recurring campaign reporting processes through automation.

• Compose and enhance SQL for reusable datasets, views, queries, dashboards, and reports for leadership.

• Refine campaign attribution logic, which includes campaign codes, UTM/campaign member data, and the linkage from lead to opportunity.

• Oversee, diagnose, and enhance data quality within Marketo, Salesforce, and subsequent reporting tables.

• Utilize AI tools like Claude to expedite data exploration, documentation, and the development of queries.

• Assist with backend administration and configuration within Salesforce and Marketo.

• Create documentation for data models, definitions, and processes.

• Collaborate with Marketing Analytics, Demand Generation, and Marketing Operations to facilitate executive-level reporting on marketing-generated pipeline across Senior Care and Acute & Payer sectors.

⛳️ Requirements

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

• 0–2 years of relevant experience.

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

• Familiarity with at least one programming language relevant to data tasks, such as Python, for scripting, automation, or ETL processes.

• Comprehension of relational data models and CRM/marketing-automation data architectures.

• Practical experience with Salesforce or Marketo is preferred.

• Experience with cloud data warehouses and BI tools is preferred.

• Acquaintance with AI-assisted development or analytics tools is preferred.

• Exposure to ETL/ELT tools, APIs, or workflow orchestration is preferred.

• Understanding of marketing funnel metrics or B2B demand generation is preferred.

• Co-op, internship, or project experience in data engineering, analytics engineering, or revenue operations is preferred.

🏝️ Benefits

• Benefits begin on 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 such as onboarding, team gatherings, and semi-annual and annual team meetings.