OneDigitalHiring

Analytics Engineer II, Marketing Technology

  • Remote, United States
  • Mid-level
  • Posted 3 weeks ago
In one line

Analytics engineering role on a marketing technology team, building SQL models in Snowflake and dashboards in Domo and Power BI for marketing and growth reporting. Remote in the US.

About the role

Someone who likes turning messy marketing and sales data into trusted datasets and reliable pipelines fits well here. You work with the senior growth analytics manager and use AI-assisted tools to speed up development while keeping judgment on data quality and governance.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Mid-level
Skills
SQL, Snowflake, ETL, Salesforce, HubSpot, Microsoft Dynamics, Domo, Power BI
Visa
No sponsorship
Posted
6 Oct 2026
Last checked
27 Oct 2026

What you will do

  • Monitor data quality, investigate discrepancies and set up automated validation and reconciliation
  • Create and maintain dashboards and semantic models in Domo and Power BI
  • Follow CI/CD practices, run test cases and troubleshoot scheduled jobs in production

What they look for

  • Hands-on SQL and data modeling experience, ideally with Snowflake
  • Experience with ETL/ELT pipelines and integrations such as Salesforce, HubSpot or Microsoft Dynamics
  • Business intelligence work in Domo or Power BI
  • Care with data governance, access controls and PII/PHI handling
  • Eligibility to work in the United States without visa or residency sponsorship

Nice to have

  • Comfort using AI-assisted tools for pipeline development, testing and documentation

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Connector URL
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Connector URL
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Questions about this job

Can I do this job remotely, and from which countries?

The posting lists it as remote for people in the United States.

What does this job pay?

The posting does not state a salary, so there is no figure to quote.

What experience is needed?

It is a mid-level role. The posting asks for: hands-on SQL and data modeling experience, ideally with Snowflake; experience with ETL/ELT pipelines and integrations such as Salesforce, HubSpot or Microsoft Dynamics; business intelligence work in Domo or Power BI. Skills it names include SQL, Snowflake, ETL, Salesforce.

How do I apply with Keywordise AI?

Click Apply with Keywordise AI, create an account and upload your CV. Your CV and cover letter are written for this job from what you have really done, then Keywordise applies for you. Trial: 7 days, no card.

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