Website Drizly Drizly

Who we are 

Drizly is the world’s largest alcohol marketplace and the best way to shop beer, wine and spirits. Our customers trust us to be part of their lives – their celebrations, parties, dinners and quiet nights at home. We are there when it matters – committed to life’s moments and the people who create them. We partner with the best retail stores in over 1300 cities across North America to serve up the best buying experience. Drizly offers a huge selection and competitive pricing with a side of personalized content. That is what we do. Who we are is a different story.

We are more than just another tech company. There is an intellectual curiosity that occurs at Drizly. We have a desire to question, to understand, to figure it out. Bottom line, we solve it. We value not just the truth but the process to get to the truth, to deliberate, decide and then act. Most importantly, we care. We care about our customer. We care about our company. We care about our team. There will be long days and incredible challenges.

We are blazing a trail in an industry that hasn’t changed in nearly a century, and that doesn’t scare us (well, not all the time) -and even when it does, it doesn’t stop us, it energizes us.

Do you see yourself here? Read on.

Who you are

You are at the intersection of analytics and marketing, and you want to dive deeper into both worlds. You have the experience to lead Drizly’s current marketing reporting + processes, plus the strategic vision and execution ability to build Drizly’s roadmap. You know how to build, test, deploy, monitor, and evaluate a set of marketing strategies across a variety of channels, whether it be for acquisition or retention purposes. You have a technical base that mirrors that of a seasoned analyst (SQL, python+scikit, git, visualization tools, etc). Most importantly, you are a talented mentor that is excited to develop, coach, and manage a data team.

You are familiar with the massive marketing ecosystem of tools and vendors, understand the nuances of different channels, have a perspective on when to build vs. buy, and know how to think about evaluating and implementing solutions. You know about IDFAs, MMPs, DSPs, CDPs, SDKs, deeplinks, pixels, and have an opinion on both where the future of attribution is going in the “walled garden” era and how to design experiments subject to channel-level constraints. Modeling CAC vs. LTV is intuitive to you, and you have moved companies away from CPC and towards incrementality or payback period.

You love working with teams like Data Engineering and Data Science to transform raw data into highly actionable business insights, as well as partnering with Marketing and Product teams to turn those insights into action. You have a proven track record designing, implementing, and measuring solutions in the analytics space.

You thrive in a fast-paced, constantly improving, start-up environment that focuses on real-world, customer-centric problems with iterative technical solutions.

We’d be really impressed if you have experience in eCommerce environments with massive amounts of semi-structured and eventstream data, and have worked on problems involving marketplace dynamics, uplift modeling, or LTV prediction. We’d also love it if you had experience with managing a BI team and weighing complex technical decisions against a limited set of engineering resources.

What the role is

We are looking for someone to lead the future of marketing analytics at Drizly. This person will own the roadmap for reporting, attribution, experimental design, and be responsible for building the platforms and services necessary to support a best-in-class marketing analytics org . They will partner closely with the marketing team to improve the allocation of marketing acquisition spend, accelerate the pace of iteration on marketing automation and retention efforts, and leverage predictive modeling to ensure growth is balanced with efficiency.

They will be responsible for managing and accelerating the careers of the current team, while also recruiting and hiring candidates that raise the standard. This role will be responsible for resource allocation within marketing analytics, and will prioritize projects and hiring needs in collaboration with senior leadership.

The Marketing Sr. BI Manager is a critical member of the Analytics organization, and will work closely with Data Engineering, Data Science, and BI. They will certainly be responsible for supporting individual DS models and solutions, but also for the larger vision of how experimental design, codebases, and best practices should grow with Drizly over time.

In this role you will:

  • Lead, develop, mentor, and manage the marketing analytics team, and hire against future marketing BI and DS roles
  • Drive the experimental design, testing agenda, and best practices of marketing analytics. Prioritize highest impact channels and marketing automations for experimentation
  • Manage the upstream and downstream relationships and SLAs with frequent collaborators: Data Engineering, Marketing, Product
  • Engineering, as well as third party vendors and software providers
  • Evaluate, delegate, and communicate on the work that the team chooses to prioritize and the results of those project

The Other Stuff

  • Competitive salary
  • One-on-one professional coaching with an external expert
  • Health, Dental and Vision Insurance
  • Flexible vacation policy
  • 401(K) Plan
  • Added perks

You do you.

Drizly is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status

BEFORE YOU APPLY…

We ask that you please remove all identifying information from your resume before you upload it on the next page in an effort to help us remove unconscious bias from our resume review process. Drizly is committed to cultivating an inclusive environment where a diverse group of people can and want to do their best work, and that starts with our hiring practices.

Identifying information includes your name, photos, LinkedIn URL, email address and more.

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