- Job type
- Not listed
- Work mode
- Remote
- Level
- Not listed
- Department
- Data and Analytics
- Experience
- 2+ years experience
- Posted
- Sep 17, 2026
About the role
Duties:
Guide data analysts focused on marketing performance, attribution, and optimization across multiple media channels; develop and refine media mix models using open-source and proprietary frameworks to assess media contribution and guide budget allocation; conduct testing and experiment design to isolate the causal impact of specific campaigns or media types; build and maintain automated ETL pipelines and workflows to integrate data from media platforms, intake systems, and TV spend platforms; manage the intake, transformation, and validation of media, spend, and case data from multiple sources to ensure accurate performance reporting; develop forecasting models for key performance metrics such as CPI, lead volume, and conversion rates; create dashboards to communicate insights to marketing, finance, and executive stakeholders; partner with Media and Finance teams to ensure alignment on performance KPIs, campaign goals, and media planning; and monitor data pipelines and model performance, iterate based on campaign outcomes and evolving media mix.
Job Requirements:
Must have a Bachelor's Degree, or foreign equivalent, in Data Science, Statistics, or Financial Management, plus 2 years of experience in a data analyst position, and 2 years using Python, R-Studio, Sisense Cloud Data, PowerBI, and Tableau.
Salary Range:
Salary Offered: $100,000 to $119,000 per year; telecommuting permitted.