

EPITEC
Senior Analytics Manager
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Analytics Manager in Englewood Cliffs, NJ, on a 12-month contract with a pay rate of "pay rate." Requires 8+ years in media analytics, expertise in MMM/MTA frameworks, and strong data visualization skills.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
December 27, 2025
π - Duration
More than 6 months
-
ποΈ - Location
On-site
-
π - Contract
W2 Contractor
-
π - Security
Unknown
-
π - Location detailed
Englewood Cliffs, NJ
-
π§ - Skills detailed
#Storytelling #Leadership #Data Integration #Big Data #Visualization
Role description
Job Title
Senior Analytics & Paid Media Manager
Location
Englewood Cliffs, New Jersey 07632
Schedule
Onsite
Type
Full-Time Ongoing Contract (12 Months, Likely Extension)
Summary
Join client's team as a Paid Media Analytics & Insights Manager and play a critical role in shaping data-driven marketing strategies. This position focuses on defining and managing paid media analytics, insights, and reporting to optimize performance across full-funnel campaigns. You will partner with cross-functional teams to deliver actionable insights, develop robust measurement frameworks, and drive sophisticated analyses that inform executive decision-making.
Key Responsibilities
β’ Define and manage paid media analytics, insights, and reporting to support marketing objectives and enable timely, informed decisions.
β’ Lead the development of executive-friendly reports highlighting campaign performance, market share, and paid media impact across HE LOB (full-funnel digital media) and Performance Marketing (PLA and text search).
β’ Coordinate monthly retail media trackers for accounts and regional partners.
β’ Provide actionable insights across awareness, consideration, and conversion strategies to improve customer acquisition, brand health, and S.com traffic/revenue.
β’ Develop automated, systemized reporting methods to streamline data integration into management decks.
β’ Drive advanced analyses and storytelling using metrics such as SOV, Market Share/Spend, Paid Media Conversion, MMM/MTA.
β’ Create and maintain a robust measurement framework to track campaign effectiveness, ROI, and revenue impact.
β’ Partner with IM Paid Media and Paid Media AOR to align on targets and integrate product investments into performance reporting.
β’ Collaborate with PCG Analytics and Big Data teams to ensure proper tagging strategies and KPI tracking.
β’ Lead MMM/MTA requirements, reporting, and optimizations; apply findings to business planning and champion insights internally.
Required Qualifications
β’ Bachelorβs degree in Marketing or related field.
β’ Minimum 8+ years of experience in media data, analytics, and insights across paid search, social, display, affiliate marketing, and e-commerce/CPG.
β’ Proven experience developing reporting, measurement, and insights for full-funnel media campaigns.
β’ Hands-on experience with MMM/MTA measurement frameworks and related metrics.
β’ Strong analytical and problem-solving skills with the ability to interpret and visualize complex data.
β’ Excellent communication skills for presenting insights to leadership.
Preferred Qualifications
β’ Advanced knowledge of paid media analytics tools and methodologies.
β’ Experience in retail media reporting and optimization.
β’ Familiarity with automated reporting systems and data visualization techniques.
Job Title
Senior Analytics & Paid Media Manager
Location
Englewood Cliffs, New Jersey 07632
Schedule
Onsite
Type
Full-Time Ongoing Contract (12 Months, Likely Extension)
Summary
Join client's team as a Paid Media Analytics & Insights Manager and play a critical role in shaping data-driven marketing strategies. This position focuses on defining and managing paid media analytics, insights, and reporting to optimize performance across full-funnel campaigns. You will partner with cross-functional teams to deliver actionable insights, develop robust measurement frameworks, and drive sophisticated analyses that inform executive decision-making.
Key Responsibilities
β’ Define and manage paid media analytics, insights, and reporting to support marketing objectives and enable timely, informed decisions.
β’ Lead the development of executive-friendly reports highlighting campaign performance, market share, and paid media impact across HE LOB (full-funnel digital media) and Performance Marketing (PLA and text search).
β’ Coordinate monthly retail media trackers for accounts and regional partners.
β’ Provide actionable insights across awareness, consideration, and conversion strategies to improve customer acquisition, brand health, and S.com traffic/revenue.
β’ Develop automated, systemized reporting methods to streamline data integration into management decks.
β’ Drive advanced analyses and storytelling using metrics such as SOV, Market Share/Spend, Paid Media Conversion, MMM/MTA.
β’ Create and maintain a robust measurement framework to track campaign effectiveness, ROI, and revenue impact.
β’ Partner with IM Paid Media and Paid Media AOR to align on targets and integrate product investments into performance reporting.
β’ Collaborate with PCG Analytics and Big Data teams to ensure proper tagging strategies and KPI tracking.
β’ Lead MMM/MTA requirements, reporting, and optimizations; apply findings to business planning and champion insights internally.
Required Qualifications
β’ Bachelorβs degree in Marketing or related field.
β’ Minimum 8+ years of experience in media data, analytics, and insights across paid search, social, display, affiliate marketing, and e-commerce/CPG.
β’ Proven experience developing reporting, measurement, and insights for full-funnel media campaigns.
β’ Hands-on experience with MMM/MTA measurement frameworks and related metrics.
β’ Strong analytical and problem-solving skills with the ability to interpret and visualize complex data.
β’ Excellent communication skills for presenting insights to leadership.
Preferred Qualifications
β’ Advanced knowledge of paid media analytics tools and methodologies.
β’ Experience in retail media reporting and optimization.
β’ Familiarity with automated reporting systems and data visualization techniques.






