Insights Manager

PebblePost is a leading performance marketing company specializing in programmatic direct mail and CTV. Our proprietary technology leverages online and offline data to drive measurable, incremental outcomes at scale for the world’s top brands. With the ability to identify and reach nearly every U.S. household, and exclusive access to $100B+ in annual transactions and hundreds of billions of real-time intent signals, PebblePost delivers unparalleled precision, scale, and performance for marketing campaigns.

As an Insights Manager, you will be responsible for extracting insights from complex data sets, strategizing with brands on optimization approaches, and delivering your findings to stakeholders. Partnering with cross-functional teams to drive data-driven marketing initiatives is critical to our success. 

You will report to the Sr. Director of Analytics and Insights.

• Analyze data sets to identify trends, patterns, and insights relevant to marketing performance
• Interpret data and present actionable insights to internal and external stakeholders
• Use statistical methods and run predictive modeling analysis to forecast marketing trends and outcomes
• Lead brands through insight and strategy sessions
• Recommend strategies for optimizing campaigns based on data analysis, A/B testing, and market research
• Provide customized testing plans to brands based on their specific and unique market challenges
• Collaborate with account management teams and clients to implement data-driven decisions and improve campaign performance
• Travel approximately 20 days per year

• 5+ years of experience in marketing analytics, data analysis, or a similar role in a digital marketing environment
• Strong understanding of performance marketing and measurement concepts, digital marketing channels and customer behavioral analytics
• Translated data into actionable insights for clients and internal partners
• Presented insights to both technical and non-technical stakeholders
• Interacted with client interactions both in-person and virtually;, specifically senior level executives, and the technical knowledge to also work with business intelligence and data science experts
• Experience with data visualization tools such as Domo, Tableau, or Power BI
• Experience with statistical analysis tools such as R, Python, or SQL