Manager, Analytics

New York City, NY (On-site)

$89K/yr – $142K/yrManager3+ years expFull time

Posted 4 weeks ago

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Job Summary

Own audience modeling and data insights with end-to-end support for creating custom segments, validating 1P data, and guiding client-ready decisions through test-and-learn and clear storytelling.

  • Audience and QA ownership: prop model development, 1P data validation, and activation roadmaps.
  • Collaboration and storytelling: partner with design and analytics teams to define audience attributes and present findings to non-technical stakeholders.
  • Decision driving: translate analyses into actionable media recommendations and measurable outcomes.

Job Description

Responsibilities

  • Assist clients in implementing clean room strategies and leveraging new technologies
  • Under the guidance of the Associate Director, assist the development and implementation of propensity models using machine learning for net new audiences and audience refreshes
  • With the help of the Audience Design team, assist in identifying the attributes for custom audience creation
  • Perform QA and troubleshooting on 1P onboarded data to ensure match rate alignment with client systems
  • Contribute to the improvement of internal modeling practices for more efficient core hour usage and activation
  • Conduct audience analysis on 1P customer segments and collaborate with internal teams to present findings
  • Maintain and execute Python scripts to organize data for more streamlined analysis
  • Translate technical concepts into actionable strategies for non-technical stakeholders in presentations
  • Support the design of statistically sound tests to minimize bias and ensure reliable results
  • Contribute to the development and implementation of a test-and-learn roadmap to enhance strategies and drive data-driven decision-making

Requirements

  • 3–5 years of experience in advertising, marketing, or data science field
  • Media agency experience preferred
  • Proficiency in SQL, Python, and statistical modeling techniques
  • Familiarity with experimental design, statistical significance, and machine learning concepts
  • Understanding digital media buying, KPI development, and programmatic audience buying
  • Strong analytical and critical thinking skills with a track record of actionable insights
  • Excellent written and verbal communication skills, with the ability to present to both technical and non-technical audiences
  • Experience working with cloud-based data services (e.g., AWS, Redshift)
  • Proven ability to manage deadlines and collaborate within cross-functional teams

Preferred

  • Quantitative educational background (degree in Statistics, Data Science, or related field nice to have)

Benefits

  • medical coverage
  • dental
  • vision
  • disability
  • 401K
  • parential and family care leave
  • family forming assistance
  • tuition reimbursement
  • flexible time off
Spark Foundry logo

Spark Foundry

3.9 Glassdoor

As one of the fastest-growing global media agency networks, Spark Foundry is not beholden to legacy.We embrace nimbleness, agility and open-mindedness as part of our Startup Spirit. But as part of Publicis Media, we tap into a Powerhouse Soul, gaining access to first-mover opportunities alongside market-shaping clout, plus leading-edge AI and technology.Together, our Startup Spirit and Powerhouse Soul allow us to innovate and iterate faster than any other agency, bringing clients a distinct competitive advantage. Our innovative experiences have been recognized by Cannes Lions, Effies, Shortys and Webbys, all delivered by best-in-class talent across more than 70 global offices. Spark Foundry is part of the global Publicis Media agency network, a key division of Publicis Groupe [Euronext Paris FR0000130577, CAC 40].

Founded in 2016
New York, New York, USA
3.1K employees (807 in marketing)
78% recommend to a friend
81% CEO approval

Traffic Signals

Monthly Visitors
14.2K
Traffic Source Mix
Search
41.9%
Direct
42.1%
Referral
8.8%
Social
5.4%
Paid
1.2%

Headcount Trend

Current headcount: ~3.1K

Marketing Team

Marketing Team Size
759 (24% of company)
Median Career Experience
10 years
Median Tenure
5 years
Marketing Roles Posted (Last 30 Days)
40

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