Digital Marketing Analytics Engineer

Role Overview

• Design, implement, and QA event tracking solutions using Tealium IQ and/or Google Tag Manager, including data layer architecture and variable configuration
• Conduct analytics audits on client properties to identify tracking gaps, data quality issues, and opportunities for improved instrumentation
• Collaborate with web development teams and client stakeholders to define tracking requirements and ensure implementation fidelity
• Build and maintain ETL pipelines using Adverity and DBT to ingest, transform, and model marketing data from paid and organic channels
• Manage data flows into Amazon Redshift; ensure data integrity, freshness, and documentation across all pipeline stages
• Support QA processes to validate data accuracy from source platforms through to reporting outputs
• Develop and maintain client-facing dashboards and internal reports in Amazon QuickSight (primary BI tool of record)
• Manage and update legacy reporting in Power BI, and client-owned reports in Looker Studio and Tableau as needed
• Leverage Amazon QuickSight's AI/ML capabilities to deliver automated and narrative-driven insights at scale
• Analyze digital marketing performance data across Paid Search, Paid Social, SEO, and Content channels to identify trends, opportunities, and areas for improvement
• Partner with Digital Advertising and Digital Strategy teams to build performance narratives for MBRs and Annual Strategy Reviews
• Participate in live client calls and review sessions to present findings, respond to questions, and gather evolving analytical requirements
• Develop forecasts, budget planning models, and ad hoc analyses to support client decision-making

Requirements

• 3–6+ years of experience in web analytics, data engineering, or business intelligence — agency or AdTech background strongly preferred
• Hands-on tag management experience with Tealium IQ, Google Tag Manager, or equivalent platforms
• Proficiency with ETL tooling: Adverity, DBT, Fivetran, or Supermetrics
• Experience with cloud data warehouses: Amazon Redshift, BigQuery, or Snowflake
• Strong SQL skills; ability to write complex queries against large, multi-source datasets
• Experience with two or more BI/visualization tools: Amazon QuickSight, Power BI, Looker Studio, Tableau
• Deep familiarity with digital marketing KPIs across Paid Search, Paid Social, SEO, Display, and Content
• Proven ability to communicate complex analytical findings clearly and persuasively to non-technical audiences
• Strong organizational and project management skills; comfortable managing multiple client workstreams simultaneously

Tech Stack

• Amazon Redshift
• BigQuery
• Cloud
• ETL
• SQL
• Tableau

Benefits

• A passionate, joyful, values-driven company with a remote-first culture.
• An exciting, creative, and fast-paced atmosphere
• Competitive salary with semi-annual review processes
• Company-sponsored Medical, Dental and Vision coverage for the employee and their dependents
• Short Term Disability, Long Term Disability, Life Insurance and AD&D Benefits
• Access to the Company's Employee Assistance Program
• Quarterly volunteering and donation match
• $50 monthly Wellness stipend
• $1000 annual Professional Development & Education credit
• Joy Fund of $50 per month that can be spent on anything that brings joy to a Wheelhouse employee or client
• Unlimited PTO
• Generous Company Holidays
• Monthly Mental Health Days for employees to rest and recharge
• 3 months of 100% paid parental leave
• Participation in the Wheelhouse 401k program, including 100% match up to 4% of salary
• Participation in a Student Loan Assistance program