Senior Manager, Marketing Analytics

Company Description

Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee whether a team member of Etsy, Reverb, or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.

Job Description

What’s the role? 

We are looking for a Senior Analytics Manager to lead an analytics team supporting our Marketing Organization. In this position, you and your team will employ sophisticated analysis and industry-leading measurement techniques to inform Etsy’s marketing strategy. Our mission is to demystify marketing with insights grounded in data, telling the story of how we can most effectively attract and retain our buyers and sellers.

As a Senior Analytics Manager, you will work to ensure your team is consistently delivering clear insights while providing access to metrics, data, and tools needed for decision-making and optimization at all levels of the Marketing Organization. Your team encompasses two critical areas: Above-The-Line advertising and cross--channel measurement. The team’s analyses will help Etsy tackle complex challenges like understanding the long-term impact of marketing campaigns, modeling channel interactions and marginal return, and predicting customer behavior. Do you find joy in leading analytics teams and creating innovative frameworks to interpret and solve complex marketing problems? If so, this could be the perfect match!

This is a full-time position reporting to the Director of Marketing Analytics and the base salary range will be $176,000 - $228,000 USD per year. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy. This role requires your presence in Etsy’s Brooklyn office in an in-person or flex capacity. Candidates living within commutable distance of the Brooklyn Hub, may be the first to be considered. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our Flex and Office-based work modes and workplace safety policies here.

What does the day-to-day look like?

• Lead a team of data scientists, providing guidance on specific analyses, career development, and novel analytical techniques

• Work closely and collaboratively with marketing leadership to develop strategies that balance short and long-term goals as the opportunities facing our marketplace evolve, and we continue to innovate and grow at a rapid pace

• Develop new analytical frameworks, data science techniques, and predictive analytics to better understand our users and the impact of our marketing investments, including attribution, media mix modeling, churn prediction, lifetime value modeling, experimentation, and segmentation

• Elevate the level of your team and your partners by bringing in external examples and industry perspective and ensuring we are continually refining our analytical toolkit

• Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.

Qualifications

Qualities that will help you thrive in this role are:

• 3+ years of proven experience leading Analytics or Data Science teams with a focus on marketing dynamics in a retail/marketplace setting 

• Experience building effective teams through active development / coaching and recruiting strong talent

• Substantial experience guiding and scaling marketing efforts and a deep understanding of marketing theory and practice, particularly for upper funnel and above-the-line marketing. This includes but is not limited to experience with measurement techniques, such as customer lifetime value, attribution models, marketing mix models, and experimental design.

• Successful track record of distilling highly complex problems into narratives that are concise, action focused, and memorable, and expressing your recommendations with both conviction and finesse

• High proficiency wi