Marketing Analytics Engineer

Responsibilities

• Maintain and extend marketing data models in Snowflake, ensuring consistent, well-documented definitions for lifecycle, attribution, and account-level fields
• Work within an established layered dbt project, following existing conventions for model structure, testing, documentation, and code review
• Build and maintain self-service dashboards and semantic models in Power BI and Snowflake Intelligence/Cortex
• Investigate and resolve data quality issues at the model level to prevent recurring downstream problems
• Support the KPI and scorecard framework, keeping metric definitions consistent across funnel, attribution, and ROI reporting
• Review marketing AI agent outputs against source data, flagging accuracy and hallucination risk before insights reach stakeholders
• Define and document what AI agents can answer autonomously versus what requires analyst review, including escalation paths
• Partner with Marketing Technology & Automation to assess how platform changes affect downstream models and agent accuracy
• Translate stakeholder reporting and forecasting needs into durable, self-service-ready data structures

Requirements

• At least 4 years in data/BI, marketing analytics, or analytics engineering with hands-on ownership of data models or metric definitions
• Advanced SQL and experience building reusable data models in Snowflake or a comparable cloud data warehouse
• Bachelor’s degree in marketing, IT, Engineering, Mathematics, Computer Science, Statistics, or a related field
• Experience extending an existing modular transformation codebase (dbt or comparable)
• Working understanding of B2B marketing data — campaign metadata, lead lifecycle, attribution, CRM outcomes, and funnel conversion
• Experience building and maintaining dashboards (Power BI preferred)
• Comfort evaluating AI/LLM-generated output against source data
• Strong diagnostic and critical thinking skills; ability to collaborate across technical and non-technical teams

Preferred

• Python for data transformation, validation, and automation
• Familiarity with dbt, version control, CI/CD, and orchestration tooling (Airflow or comparable)
• Working knowledge of Salesforce CRM and marketing automation platforms (Marketo or comparable)
• Experience with semantic layers, data catalogs, or AI-readable metadata frameworks

Benefits

• subsidized, nationwide PPO medical benefit options including a low-deductible Point of Service Plan and a qualifying High Deductible Health Plan (HDHP), with a generous company-provided HSA contribution. For California employees, we offer a subsidized HMO option through Kaiser. Ericsson Enterprise Wireless Solutions also offers subsidized dental and vision coverage.