Marketing Analytics Engineer — Hybrid, Data & AI Impact

Ericsson GmbH; Plano, Northern (TX, KY); Hybrid; USD 95,000 - 145,000; Full time

Benefits offered by this job

Health benefits

401(k)

Vacation days

Parental leave

Job summary

Ericsson Enterprise Wireless Solutions Inc. is seeking a Marketing Analytics Engineer to build marketing data, AI, and analytics capabilities. You will strengthen the data foundation powering AI-assisted answers and maintain models for lifecycle, attribution, and funnel metrics.

You will collaborate with marketing, sales, IT, and finance to align data and AI outputs with a single source of truth, while ensuring data quality and scalable, self-service data structures.

Qualifications

• 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.

Responsibilities

• Maintain and extend marketing data models in Snowflake, ensuring consistent definitions for lifecycle, attribution, and account-level fields.
• Work within an established layered dbt project, following 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.

Skills

SQL

Snowflake

dbt

Power BI

Data modeling

Analytics engineering

Education

Bachelor's degree or equivalent

Tools

dbt

Airflow

Salesforce

Marketo

Job description

Ericsson Enterprise Wireless Solutions Inc. is seeking a Marketing Analytics Engineer to build marketing data, AI, and analytics capabilities. You will strengthen the data foundation powering AI-assisted answers and maintain models for lifecycle, attribution, and funnel metrics.

You will collaborate with marketing, sales, IT, and finance to align data and AI outputs with a single source of truth, while ensuring data quality and scalable, self-service data structures.