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Yahoo

Senior Manager, Data Science & Analytics (Revenue & Growth), Yahoo Mail

Reposted 10 Days Ago
Remote
Hiring Remotely in United States of America
144K-299K Annually
Senior level
Remote
Hiring Remotely in United States of America
144K-299K Annually
Senior level
The Senior Manager, Data Science & Analytics will lead a team to drive analytics and experimentation strategies for Yahoo Mail's growth and monetization, engaging with product, finance, and marketing to transform data insights into actionable strategies for success.
The summary above was generated by AI
Yahoo Mail is the ultimate consumer inbox with hundreds of millions of users. It’s the best way to access your email and stay organized from a computer, phone or tablet. With its beautiful design and lightning fast speed, Yahoo Mail makes reading, organizing, and sending emails easier than ever.

About The Organization

Yahoo, with a strong foundation of 900 million monthly users, is in the midst of a renaissance—backed by substantial investment to drive meaningful, long-term growth, led by great products. Are you up for the challenge of writing the story of one of the biggest consumer product success stories in history? This won’t be easy, but if you’re motivated by huge opportunities, backed by an organization ready to invest in bold initiatives, and can’t wait to start building, Yahoo is the place for you.

Yahoo is composed of organizations, each led by a GM, driving key product lines. This role sits within the Yahoo Mail group, home to one of the largest consumer email platforms in the world, serving over 200 million monthly users. You’ll be part of the team shaping the next phase of growth—building smarter, data-driven products and experiences that deepen engagement and expand revenue.

Position Overview
Reporting to the Senior Director, Strategy & Analytics, the Senior Manager, Data Science & Analytics (Revenue & Growth) will lead the analytics and experimentation strategy that powers Yahoo Mail’s growth and monetization engine.

You will oversee a team of data scientists supporting Ads, Commerce, Subscriptions, and User Growth squads. This is a highly visible, impact-oriented role for a technically strong, hands-on leader who thrives at the intersection of product, data, and business.

You’ll operate as a player-coach, guiding your team strategically while remaining close to the data. Expect to spend roughly 20% of your time coding, diving deep into complex analyses, validating models, and shaping the technical standards for the broader analytics organization.

Responsibilities
Revenue & Growth Analytics Leadership

  • Own the analytics roadmap for Yahoo Mail’s revenue and growth squads, driving clarity around key performance metrics and success criteria.

  • Partner with Product, Finance, and Marketing to quantify opportunities, evaluate trade-offs, and connect product outcomes to business results.

  • Develop models and frameworks that quantify ROI, forecast growth, and identify levers to accelerate performance across Ads, Commerce, and Subscription products.

Experimentation & Advanced Analytics

  • Design, implement, and evolve a rigorous experimentation framework across monetization and growth initiatives.

  • Be hands-on in Python and SQL—diving deep into data to validate hypotheses, uncover drivers of performance, and ensure statistical integrity of experiments.

  • Develop scalable pipelines and reusable analytical tools that enable faster test iteration and decision-making across teams.

Cross-Functional Partnership & Stakeholder Management

  • Work closely with Finance to align product metrics with financial impact—bridging the gap between user engagement, monetization, and P&L outcomes.

  • Serve as a trusted thought partner to Product and Engineering leaders, translating data insights into strategic product direction.

  • Communicate insights clearly and persuasively to senior leadership, turning analysis into actionable business narratives.

Team Leadership & Development

  • Lead, mentor, and develop a team of five analysts—cultivating technical depth, business acumen, and ownership.

  • Operate as a player-coach: set direction, unblock execution, and jump in hands-on when necessary.

  • Foster a culture of curiosity, rigor, and scrappiness—driving high output with a lean, high-performing team.
     

Qualifications

  • Experience: 8+ years in data science, analytics, or product analytics, with 3+ years of people management.

  • Technical Expertise:

    • Advanced proficiency in Python and SQL; strong applied statistics and experimentation design skills.

    • Deep understanding of A/B testing methodologies, causal inference, and metric design.

    • Experience with modern data stacks (e.g., Snowflake, BigQuery) and visualization tools (e.g., Tableau, Looker)

  • Business Acumen: Proven ability to tie analytical findings to business results and drive data-informed product strategy.

  • Leadership: Demonstrated success managing small, agile analytics teams; ability to inspire, coach, and deliver results through others.

  • Communication: Excellent storytelling and presentation skills, with the ability to distill complex analyses into clear business recommendations.

  • Mindset: Scrappy, pragmatic problem solver who thrives in ambiguity and balances technical depth with strategic thinking

  • Education: Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Computer Science, Economics, Data Science, Engineering)

The material job duties and responsibilities of this role include those listed above as well as adhering to Yahoo policies; exercising sound judgment; working effectively, safely and inclusively with others; exhibiting trustworthiness and meeting expectations; and safeguarding business operations and brand integrity.

At Yahoo, we offer flexible hybrid work options that our employees love! While most roles don’t require regular office attendance, you may occasionally be asked to attend in-person events or team sessions. You’ll always get notice to make arrangements. Your recruiter will let you know if a specific job requires regular attendance at a Yahoo office or facility. If you have any questions about how this applies to the role, just ask the recruiter!

Yahoo is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. Yahoo will consider for employment qualified applicants with criminal histories in a manner consistent with applicable law. Yahoo is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. If you need accessibility assistance and/or a reasonable accommodation due to a disability, please submit a request via the Accommodation Request Form (www.yahooinc.com/careers/contact-us.html) or call +1.866.772.3182. Requests and calls received for non-disability related issues, such as following up on an application, will not receive a response.

We believe that a diverse and inclusive workplace strengthens Yahoo and deepens our relationships. When you support everyone to be their best selves, they spark discovery, innovation and creativity. Among other efforts, our 11 employee resource groups (ERGs) enhance a culture of belonging with programs, events and fellowship that help educate, support and create a workplace where all feel welcome.

The compensation for this position ranges from $143,625.00 - $299,375.00/yr and will vary depending on factors such as your location, skills and experience.The compensation package may also include incentive compensation opportunities in the form of discretionary annual bonus or commissions. Our comprehensive benefits include healthcare, a great 401k, backup childcare, education stipends and much (much) more.

Currently work for Yahoo? Please apply on our internal career site.

Top Skills

BigQuery
Looker
Python
Snowflake
SQL
Tableau

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