This person will lead and oversee campaign strategy and development, audience creation, campaign launch, optimization and reporting, test and learn analysis, and use case development, and the development of actionable recommendations across channels including paid social, programmatic, display, video, connected television, and other digital and offline media.
Key responsibilities:
- Lead measurement and analytics strategies for digital media and performance marketing campaigns.
- Analyze cross-channel campaign performance (Paid Social, Programmatic, Display, Video, CTV, etc.) and identify optimization opportunities.
- Develop measurement frameworks, KPI structures, and test-and-learn programs.
- Translate complex data into actionable insights and business recommendations.
- Problem-solving using SQL and Python to support analysis and reporting.
- Partner with marketing, media, analytics, and client stakeholders to drive decision-making.
- Support the launch of new audience and media products.
- Mentor and guide analysts while ensuring high-quality analytical deliverables.
- interpret MMM outputs and leverage findings to support media investment, budget allocation, and campaign optimization decisions.
- Strong experience analyzing performance across multiple digital media channels.
- Deep understanding of media metrics, campaign optimization, and performance measurement.
- Experience developing measurement plans, KPI frameworks, and executive-level reporting.
- Ability to translate business questions into analytical solutions and actionable recommendations.
- Intermediate SQL skills with the ability to query, transform, and analyze large datasets from multiple sources.
- Proficiency in Python for data analysis, automation, reporting, and campaign performance evaluation.
- Strong client-facing communication and stakeholder management skills.
- Experience leading projects and/or managing analytics teams.
- Proficiency with Media platforms such as Google Ads, DV360, CM360, Meta Ads, LinkedIn Ads, Amazon Ads, and The Trade Desk.
- Web analytics tools such as Google Analytics 4 (GA4) and Adobe Analytics.
- Data visualization tools including Tableau, Power BI, or Looker.
- Experience working with marketing effectiveness measurement frameworks, including attribution and Marketing Mix Modeling (MMM).
- Familiarity with testing and measurement methodologies, including A/B testing, Conversion Lift, Brand Lift, Geo Testing, Attribution, and Marketing Mix Modeling.
What about languages?
Advanced English proficiency is required for effective communication with international teams and stakeholders.
How much experience must I have?
5–8 years of experience in Media Analytics, Marketing Analytics, Performance Marketing, or a related field.