The will be responsible for a blend of technical data analysis and strategic business thinking to optimize Ritual's marketing spend and customer acquisition on the Direct to Consumer (DTC) team. This role will partner closely with the growth marketing team on to drive data-driven decision-making and optimize multi-million dollar marketing spend to drive efficient ROAS and LTV:CAC.

Core Functions

Marketing Funnel Analysis: In-depth analysis of performance trends across each

platform and funnel, down to the granular campaign level.

Build & Maintain Marketing Data Infrastructure: Ongoing maintenance of channel classification using SQL to bucket spend, traffic, orders, and net revenue by UTM parameters.
Automate Existing Manual Reporting: Replace manual data pulls with automated dashboards and workflows, ensuring accuracy, consistency, and real-time insights. Improve efficiency by identifying reporting gaps and implementing scalable solutions.
Ongoing Performance Deep Dives: Real-time and retrospective identification of

performance, collaborating with relevant teams to troubleshoot and resolve. Enable continuous monitoring and analysis of marketing channel performance

Media Measurement Effectiveness: Leading the analysis of media measurement effectiveness across growth marketing, utilizing advanced techniques such as:

○ Attribution modeling: Understanding the impact of different touchpoints in the customer journey and assigning value to each. Incrementality experimentation: Working with marketing leads to develop and implement a testing roadmap to measure incremental lift across channels, then calibrate MMM with incrementality factors (IF) and confidence intervals (CI).

Media mix modeling: Optimizing the allocation of marketing budget across different

media channels.

Strategic Project Execution: Support executive-level team with models, reports, and

analyses that focus on improving marketing effectiveness and efficiency.

Who You Are:

You have a bachelor's or master's degree in a quantitative field.
You've spent at least two years as a Data or Business Analyst, ideally working for an e-commerce company that deals with tons of data.
You're fluent in English.
You're highly analytical and can collect, analyze and interpret large datasets.
You're a pro when it comes to using data analysis tools and techniques.
You're business savvy and understand marketing principles and business objectives.
You're a proactive problem-solver.
You have advanced proficiency with querying data warehouses (SQL), analyzing data,

and using qualitative techniques to find insights; data modelling capacity in platforms like dbt a big plus.