Marketing Analytics Engineer

Grow with us 
 Ericsson Enterprise Wireless Solutions Inc. does not sponsor U.S work authorizations for this job position including U.S. immigration filings for initial and/or change of employer paperwork for H-1’s, H-1B1’s, E-3’s, O-1’s, and TN’s. Ericsson also does not hire F-1’s working on CPT or EAD for this position.   Note: This role is a hybrid position with the expectation to work onsite (3) three days a week in the Ericsson office located in Plano, TX or Boise, ID.  Relocation is not offered for this position. About this opportunity 
 We are looking for a Marketing Analytics Engineer to help build the next generation of marketing data, AI, and analytics capabilities. In this role, you’ll strengthen the data foundation that powers AI-assisted answers to everyday marketing questions. You’ll maintain and expand the marketing data models behind our dashboards and AI agents, while helping validate that these agents deliver accurate, well-grounded responses before they reach stakeholders.   Our marketing data is modeled in Snowflake through a layered dbt project. You’ll help evolve and govern the canonical data objects that underpin marketing decisions—including lifecycle, attribution touchpoints, campaign engagement, and funnel conversion—ensuring consistent, trusted definitions power our dashboards, KPI reporting, and AI agents.   This role collaborates closely with the Director of Marketing Intelligence & AI Transformation and partners across marketing, sales, IT, and finance to keep data and AI agent outputs aligned to a single source of truth. What you will do 
 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   Location: Plano, TX or Boise, ID.  No sponsorship or relocation offered for this role. The skills you bring 
 You must have: 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   It would be nice if you also have: 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