Who We Are
Drizly, an Uber company, is an energetic start-up within the New Verticals and Delivery Team. We are one of North America’s largest alcohol e-commerce, on-demand delivery platform, and the best way to browse and buy beer, wine, and spirits. Drizly helps our customers savor life’s moments – their celebrations, parties, dinners and quiet nights at home. We partner with the best retail stores in over 1,700 cities across North America to serve up an unrivaled selection, convenient delivery options, and a delightful shopping experience that helps customers find the best drinks for the moment.
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 customers. We care about our team, and we care about our mission.
The Head of Drizly Analytics will own, shape and implement the analytics agenda for the Drizly brand, spearheading work across multiple subject areas and strategic imperatives. You are the intersection of analytics and marketing, and you want to dive deeper into both worlds. You have the experience to lead Drizly’s marketing reporting and process, and the strategic vision to help elevate Drizly’s paid and organic marketing efforts. You know how to build, test, deploy, monitor and evaluate marketing campaigns to determine ROAS and incrementality, whether it be for acquisition or retention purposes. In addition, you are familiar with designing and deploying foundational analytics work that fuels pricing strategy, marketing mix modeling and measurement of local marketing efforts (i.e. match market tests).
You are familiar with the marketing ecosystem of tools and vendors, understand the nuances of different channels – paid and organic – and have a perspective on when to build vs. buy. You know about IDFAs, MMPs, DSPs, CDPs, SDKs, deeplinks, pixels, and how to determine attribution in a ‘walled garden’ and iOS challenged world. You know how to model CAC, LTV and have experience with MTA modeling to drive marketing strategy and growth.
You love working with teams like Data Engineering and Data Science to transform raw data into highly concrete business insights and turn them into action, as well as creating easy to digest reporting dashboards to help cross functional teams understand where to take action.
Key Responsibilities:
– Marketing Campaign Performance across paid and organic channels such as:
– Designing necessary tests to resolve incrementality
– ROAs across acquisition and retention targets
– Market tests across key DMAs
– Foundational analytics work, including:
– Pricing and Fees Analysis
– Persona development
– Marketing Mix Modeling evolution
– MTA
– Develop data dashboards that allow for swift decision making and provide insights to fuel weekly and monthly business performance reviews. Partner with Data Engineering to investigate any data inconsistencies and anomalies to ensure reporting remains stable and accurate
– Handle and develop a Data Science lead across critical projects
– Own vendor relationships (i.e. Live Ramp) and support agencies (Performance Media Agency)
– Coordinate the upstream and downstream relationships and SLAs with frequent collaborators: Data Engineering, Product Engineering, as well as third party software vendors (e.g. Live Ramp) and agencies
Basic Qualifications
– Authority in SQL and python, strong familiarity on integrations with DSPs, MMPs, CDPs (i.e. Snowflake), and more. They must know what a pixel and SDK is, and knowledge of how to measure attribution in a post iOS 14 update / ATT world
– Deep experience in experimental design across multiple marketing fields – e.g. media (incrementality, ROAS) , pricing / fees, market tests
– Deep knowledge of Marketing Mix Modeling, MTA and LTV
– Building dashboards in conjunction with Data Engineering and Marketing leads
– Familiar with industry standard analytics toolkit, as well as familiar with marketing specific infrastructure for supervising and communicating with 3rd parties (pixels, SDKs, MMPs, IDFAs, etc.)
– Informed and outspoken on the wide variety of marketing technology vendors, and able to source, evaluate, and implement service, software and infrastructure solutions
For Chicago, IL-based roles: The base salary range for this role is $149,000 per year – $165,000 per year.
For Dallas, TX-based roles: The base salary range for this role is $149,000 per year – $165,000 per year.
For Houston, TX-based roles: The base salary range for this role is $149,000 per year – $165,000 per year.
For Los Angeles, CA-based roles: The base salary range for this role is $149,000 per year – $165,000 per year.
For Miami, FL-based roles: The base salary range for this role is $149,000 per year – $165,000 per year.
For New York, NY-based roles: The base salary range for this role is $165,000 per year – $183,000 per year.
For San Francisco, CA-based roles: The base salary range for this role is $165,000 per year – $183,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is $165,000 per year – $183,000 per year.
For all US locations, you will be eligible to participate in Uber’s bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [https://www.uber.com/careers/benefits](https://www.uber.com/careers/benefits).
Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](https://forms.gle/aDWTk9k6xtMU25Y5A).
Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.