Job description

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 with semantic layers, data catalogs, or AI-readable metadata frameworks Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Ericsson uses a merit-based hiring approach that values people with different experiences, perspectives and skillsets. We truly believe this approach drives innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity employer, learn more. If you need assistance or to request an accommodation due to a disability, please contact Ericsson at hr.direct.americas@ericsson.com. DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned. Primary country and city: United States (US) || Hybrid: Plano, Texas or Boise, Idaho Job details: IT Data Engineer Compensation and Benefits at Ericsson At Ericsson, we know that our people are the key to our success. We offer a competitive package to help with your individual needs and goals. Your Pay The salary range for this position is dependent on various factors including, but not limited to, location, and the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience. Short-Term Variable Compensation Plan :  Your pay also includes the opportunity for an annual bonus. Actual bonus payouts are based on performance of the business against the unit’s objectives, individual performance, and the individual bonus target. Certain eligibility and pro-ration rules apply.  Your Health Ericsson Enterprise Wireless Solutions offers excellent, competitive employee benefits, such as: 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. Your Financial Security We invest in both your short and long-term financial wellbeing. Our 401(k) plan has a 4% company match and immediate vesting. Employees will also receive company-paid employee basic life and AD&D insurance and company-paid disability benefits. Your Time Your work-life balance is important to us. New employees are provided a minimum of 15 days of accrued vacation, up to 3 personal days per year, 11 annual holidays, 8 hours of volunteer time, and 80 hours of sick time annually. Please note paid time off is pro-rated based on the employee’s start date. Furthermore, Ericsson provides up to 16 weeks of paid maternity leave and 6 weeks of parental or adoption leave at 100% of pay. Additional Benefits Ericsson Enterprise Wireless Solutions offers other company-paid benefits such as a comprehensive Employee Assistance Program, mobile therapy, and volunteer paid time off.

Requirements

Must-haves

Grow with us
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.
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
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
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)

Nice-to-haves

Experience building and maintaining dashboards (Power BI preferred)

Application prep

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Keywords to mirror

aisqlllmpythonci/cdgo

Platform: eightfold
Effort: medium

Benefits

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Dental

Vision

401(K)

Paid Time Off