Marketing Data & Attribution Analyst

MarketingMarketingFull TimeRemoteTeam 51-200Since 1999Company Site LinkedIn

Location

United States

Posted

78 days ago

Salary

$160K - $220K / year

Bachelor Degree5 yrs expExperience acceptedEnglishBig QueryERPOraclePythonSQL

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.

Job 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.