Job Description
Job Description: • 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. • Create predictive and econometric models to forecast performance and support a company-wide goal to scale advertising by 100% this year.
• Audit and improve tracking infrastructure, ensuring data accuracy and consistency across platforms. • Deliver clear, data-backed recommendations to leadership on how to optimize spend and drive incremental growth. • Stay current on digital marketing analytics trends, measurement frameworks, and attribution tools. 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 bolthires 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 bolthires Ads, bolthires 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. Benefits: • Competitive salary • Competitive bonus structure • Medical, vision, and dental coverages • Virtual position with Flexible Schedule and freedom.
• Special pricing on all our commercial kitchen equipment and supplies. • Expert trainings and company paid continual education offerings. Apply tot his job
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