Who we are
Drizly is the world's largest alcohol marketplace & the best way to shop beer, wine & spirits. Our customers trust us to be part of their lives - their celebrations, parties, dinners & quiet nights at home. We are there when it matters - committed to life's moments & the people who create them. We partner with the best retail stores in over 1650 cities across North America to serve up the best buying experience. Drizly offers a huge selection & 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 & 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 & incredible challenges.
We are blazing a trail in an industry that hasn't changed in nearly a century, & 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 & marketing, & you want to dive deeper into both worlds. You have the experience to lead Drizly's current marketing reporting + processes, plus the strategic vision & execution ability to build Drizly's roadmap. You know clearly how to build, test, deploy, monitor, & evaluate a set of marketing strategies across a variety of channels, whether it be for acquisition or retention purposes. You have built 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, & manage a data team.
You are familiar with the massive marketing ecosystem of tools & vendors, understand the nuances of different channels, & have a perspective on when to build vs. buy, & know how to think about evaluating & implementing solutions. You know about IDFAs, MMPs, DSPs, CDPs, SDKs, deeplinks, pixels, & have an opinion on both where our future of attribution is going in the walled garden” era & how to design experiments subject to channel-level constraints. Modeling CAC vs. LTV is intuitive to you, & you have moved companies away from CPC & towards incrementality or payback period.
You love working with teams like Data Engineering & Data Science to transform raw data into highly concrete business insights, as well as partnering with Marketing & Product teams to turn those insights into action. You have a proven track record designing, implementing, & 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 & eventstream data, & 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 & weighing complex technical decisions against a limited set of engineering resources.
What the role is
We are looking for someone to lead the future for marketing analytics at Drizly. This person will own the roadmap for reporting, attribution, experimental design, & be responsible for building the platforms & 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 & retention efforts, & leverage predictive modeling to ensure growth is balanced with efficiency.
They will be responsible for managing & accelerating the careers of the current team, while also recruiting & hiring candidates that raise the standard. This role will be responsible for resource allocation within marketing analytics, & will prioritize projects & hiring needs in collaboration with senior leadership.
The Marketing BI Manager is a critical member of the Analytics organization, & will work closely with Data Engineering, Data Science, & BI. They will certainly be responsible for supporting individual DS models & solutions, but also for the larger vision of how experimental design, codebases, & scalable standard methodologies should grow with Drizly over time.