The Job

Marketing Analytics Engineer

Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Business Intelligence

Join for updates

In short

Ericsson seeks a Marketing Analytics Engineer to build next-generation marketing data, AI, and analytics capabilities. This hybrid role involves maintaining and extending marketing data models in Snowflake and dbt, building dashboards in Power BI, and collaborating with stakeholders to ensure data accuracy and trusted definitions for AI agents and reporting.

Responsibilities

  • Maintain and extend marketing data models in Snowflake, ensuring consistent definitions for lifecycle, attribution, and account-level fields.
  • Work within a 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.
  • Support the KPI and scorecard framework, ensuring metric consistency across funnel, attribution, and ROI reporting.
  • Review marketing AI agent outputs against source data for accuracy and hallucination risk.
  • Define and document AI agent capabilities and escalation paths.
  • Partner with Marketing Technology & Automation to assess platform changes' impact on models and agent accuracy.
  • Translate stakeholder reporting and forecasting needs into 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.

Desired Qualifications

  • 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

  • Annual bonus opportunity based on business and individual performance.
  • Subsidized, nationwide PPO medical benefit options.
  • Subsidized dental and vision coverage.
  • 401(k) plan with a 4% company match and immediate vesting.
  • Company-paid employee basic life and AD&D insurance.
  • Company-paid disability benefits.
  • Minimum of 15 days of accrued vacation.
  • Up to 3 personal days per year.
  • 11 annual holidays.
  • 8 hours of volunteer time annually.
  • 80 hours of sick time annually.
  • Up to 16 weeks of paid maternity leave.
  • 6 weeks of parental or adoption leave at 100% of pay.
  • Comprehensive Employee Assistance Program.
  • Mobile therapy.
  • Volunteer paid time off.
#Marketing Analytics#Data Engineering#AI#Analytics
Ericsson Logo

Company

Ericsson

Job Posted

2 weeks ago

Employment Type

Full Time

WorkMode

Hybrid

Experience Level

Mid-Senior

Locations

Plano, United States

Boise, United States

Qualification

Bachelor

Applicants

Be an early applicant