Analytics Engineer II, Marketing Technology - Remote

OneDigital

29d • $95,000 - $130,000 • Remote

About The Position

The Analytics Engineer II sits on the Marketing Technology team and develops, maintains, and improves data solutions that support Marketing and growth reporting. The role combines data engineering, business intelligence, and analytics development to create trusted datasets, maintain reliable pipelines, and deliver operational reporting. Working closely with the Sr. Growth Analytics Manager, the engineer builds an understanding of OneDigital’s data ecosystem and helps improve its data products. AI-assisted tools are used to accelerate pipeline development, testing, and documentation, while the role retains accountability for governance decisions, data quality judgment, and business context.

The position develops and optimizes SQL transformations in Snowflake; builds and supports ETL/ELT pipelines and integrations; monitors scheduled jobs; and troubleshoots production issues. It also monitors data quality, documents datasets and data flows, follows privacy and access-control requirements, builds dashboards and reports in Domo and Power BI, and partners with business and cross-functional data owners to deliver and maintain useful reporting products. The typical nationwide base pay range is $95,000 to $130,000 per year. The role is remote and applicants must be eligible to work in the United States without work visa or residency sponsorship.

Requirements

• 2–4 years of experience in analytics engineering, business intelligence, or data engineering.
• Strong SQL skills and experience with cloud data warehouses; Snowflake preferred.
• Experience building ETL/ELT processes.
• Experience with Domo, Power BI, Tableau, or similar BI platforms.
• Understanding of dimensional modeling and relational databases.
• Experience with Git or version control.
• Working understanding of data security and privacy best practices.
• Strong written and verbal communication skills, including explaining findings to non-technical stakeholders.
• Strong prioritization skills and ability to manage multiple requests with minimal supervision.
• Must be eligible to work in the United States without the need for work visa or residency sponsorship.

Nice To Haves

• Marketing or sales analytics experience.
• Experience with Salesforce, HubSpot, Microsoft Dynamics, and API integrations.
• Experience with Azure Data Factory or Azure Blob Storage; Coalesce or similar tools.
• Experience with CI/CD and automated testing for data pipelines.
• Exposure to preparing datasets for ML/AI and familiarity with data governance frameworks.
• Bachelor’s degree in computer science, data science, information systems, or a related field; equivalent experience is considered.
• Curiosity about how data supports business decisions, initiative, methodical troubleshooting, appreciation for documentation and responsible data handling, and eagerness to grow technical, business, and AI/ML knowledge.

Responsibilities

• Develop, maintain, and optimize SQL transformations in Snowflake for Marketing and Sales reporting.
• Build and support ETL/ELT pipelines and integrations across Salesforce, HubSpot, Microsoft Dynamics, Azure, and APIs.
• Follow established CI/CD practices and execute test cases to validate changes before production.
• Monitor scheduled jobs and troubleshoot production issues.
• Monitor data quality, investigate discrepancies, and build automated validation and reconciliation processes.
• Maintain documentation for datasets, data flows, lineage, and transformation logic.
• Apply access controls and follow privacy and handling requirements for PII/PHI in accordance with company policy; escalate gaps or exceptions to the Sr. Growth Analytics Manager.
• Build and maintain dashboards and reports in Domo and Power BI based on business requirements.
• Develop reusable datasets and semantic models, including clean, structured datasets that support AI and predictive modeling.
• Optimize dashboard performance and usability.
• Partner with the Sr. Growth Analytics Manager to translate business requirements into technical solutions.
• Gather feedback, prioritize enhancements, and document intended use for recurring datasets and dashboards treated as products.
• Coordinate with cross-functional data owners when upstream changes could affect Marketing reporting.
• Support ad hoc analytical requests.

Benefits

• Health, wellbeing, retirement, and other financial benefits for eligible employees.
• Paid time off.
• Overtime pay for non-exempt employees.
• Learning and development programs.
• Reimbursement of job-related expenses per company policy.
• Employee perks and discounts.
• Some roles may be eligible for variable compensation, commission, and/or annual bonus based on individual and/or company performance.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed