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Snap Inc.

Manager, Advertising Data Science & Insights

Posted Yesterday
Hybrid
4 Locations
195K-343K Annually
Senior level
Hybrid
4 Locations
195K-343K Annually
Senior level
Manage a team of data scientists to drive analytics for advertiser success, deepen advertiser understanding, and support sales initiatives.
The summary above was generated by AI

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.

The Product team uses creativity, insights, and operational excellence to steer our product vision across Snap Inc. This team of designers, scientists, and product managers work in a highly collaborative environment to build the products and experiences that bring our community together in new and special ways.

We’re looking for a Manager, Advertising Data Science & Insights to join Team Snapchat! 

What you’ll do

  • Build and manage an experienced team of data scientists and analysts aimed at distinguishing Snap from other ad platforms, enabling sales initiatives, and growing advertiser success through the combination of compelling insights, technical capabilities, strategic data analysis, and fast paced execution.

  • Establish a positive, mutually supportive, and inclusive team environment where each team member can generate outsize impact. 

  • Responsible for ongoing team member development and growth, providing continuous growth-oriented development feedback.

  • Work cross-functionally and partner with sales leaders, data science teams, product marketing teams, and researchers to solve problems, and conduct analytics to support deep advertiser understanding for sales enablement and advertiser success.

  • Create and lead in-depth analysis and drive cross-functional, high impact data projects, asking the right questions, testing hypotheses, identifying patterns and providing the necessary business context to translate data findings into actionable insights.

  • Build data-driven sales narratives grounded in rigorous data insights and analytics, partnering closely with sales leadership and product teams to support advertiser success.

  • Lead the development & promotion of data insights with leadership that level up sales efforts and in-market strategies throughout the sales organization.

  • Develop & oversee an effective analytics roadmap, managing cross-functional priorities and ensuring timely delivery of high-caliber work.

  • Provide strategic direction, project clarity, methodological consultation and deliver results both individually and through managing a high performing team.

Knowledge, Skills, Abilities:

  • Experience in applied data analytics and statistical analytics, including insights generation, experimentation, and statistical measurement.

  • Expertise in data workflows and pipelines, and leading a team responsible for data capture, measurement, and optimization capability management.

  • Expertise using SQL and Python.

  • Excellent verbal and written communication skills, with high attention to detail.

  • Experience working in a sales-facing data role, developing analytics for use in client growth.

  • Experience developing in-market insights and data-driven, sales-facing materials.

  • Ability to initiate and drive projects to completion with minimal guidance.

  • Ability to balance practical business needs and scientific rigor.

Minimum Requirements

  • Bachelor’s degree in a quantitative field such as math, statistics, economics, and computer science, or equivalent years of experience.

  • 7+ years of experience in data science or analytics doing quantitative analysis and insights generation at a technology company.

  • 3+ years experience in a leadership role within a data organization.

Preferred qualifications

  • Advanced degree in a quantitative field (Economics, Computer Science, Physics).

  • Prior experience working in digital ads or monetization.

  • Experience forming partnerships with cross-functional leaders in sales, marketing, product, research, etc.

  • Proven track record in transforming data into meaningful insights and opportunities to drive growth and performance.

If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.

"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week. 

At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.

Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!

Compensation

In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.

Zone A (CA, WA, NYC):

The base salary range for this position is $229,000-$343,000 annually.


 

Zone B:

The base salary range for this position is $218,000-$326,000 annually.

Zone C:

The base salary range for this position is $195,000-$292,000 annually.

This position is eligible for equity in the form of RSUs.

Top Skills

Python
SQL

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