Marketing Data & Attribution Analyst - Remote Position (Must be based in US)
$160,000 – $220,000 USD per year
Description:
Our mission is to help customers save time and money when purchasing commercial kitchen equipment and supplies by providing a customer-centric shopping experience and through leveraging our industry buying power.
We are seeking an experienced Marketing Data & Attribution Analyst to join our team and play a key role in scaling our advertising efforts and optimizing marketing performance across all paid and organic channels. The ideal candidate has worked with data sets valued $300+ million in revenue, thrives in a data-driven environment, and is skilled at connecting marketing performance with financial and operational outcomes.
Skills and Requirements:
- Minimum 5+ years of experience in digital marketing analytics, paid media optimization, and attribution modeling.
- Proven track record of managing or analyzing campaigns totaling at a minimum of $300 million in revenue, ideally $1 billion+ across Google Ads, Meta, and other major networks.
- Deep understanding of multi-touch attribution, data modeling, and channel-level performance tracking and the impacts on ROAS.
- Expertise in Google Ads, Google Analytics 4, Tag Manager, BigQuery, and Looker Studio, with experience integrating data from multiple ad and CRM platforms,
- Strong analytical and quantitative skills, with proficiency in SQL, Excel, and at least one analytics or data science language (Python or R preferred).
- Experience with Oracle NetSuite or other enterprise ERP systems for connecting marketing performance to revenue and operations.
- Demonstrated ability to translate data into actionable insights that drive growth, efficiency, and ROI.
- Excellent communication skills and the ability to collaborate cross-functionally with marketing, finance, and executive teams.
- Bachelor’s degree in Marketing, Data Science, Economics, or a related field preferred; equivalent experience considered.
Responsibilities and Duties:
- Analyze and interpret performance across all paid and owned marketing channels, including search, shopping, display, and social.
- Develop and maintain cross-channel attribution models to identify true return on ad spend (ROAS) and improve media allocation.
- Collaborate with internal teams to design and implement data pipelines and dashboards that connect marketing and financial data through NetSuite.