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🧭 Full-Time
💸 110000 - 150000 USD per year
🔍 Mental Health Care
- BSc/MA in a quantitative discipline such as Statistics, Math, Economics, Computer Science, Operations Research, or Engineering.
- At least 3-5 years of experience in a quantitative data analysis role involving user behavior (e.g. marketing, product, UI/UX) and large data sets.
- Expertise in statistics, especially as it relates to hypothesis testing and experiment design.
- Experience analyzing A/B tests as well as experiments with more advanced statistical methods like difference-in-difference, regression discontinuity, or other methods that deal with network effects or panel data.
- Experience building predictive models and causal inference models.
- Expertise in using tools like R and Python for data analysis.
- Proven success supporting or making business decisions based on your data analysis.
- Excellent communication skills, with experience simplifying complex topics for non-technical audiences.
- Advanced experience with SQL.
- Get insight from an enormous amount of data, and take a proactive role partnering with the marketing team in finding and testing data-driven ideas for improving our efficiency.
- Contribute to the development, implementation, and maintenance of our marketing models, including a Bayesian Marketing Mix Model and a Data-Driven Attribution model.
- Monitor and analyze marketing uplift tests with statistical rigor, present the data and insights to the team, and drive marketing decisions.
- Look at complex problems and come up with testable models and algorithms that have measurable business impact.
- Enjoy great teamwork and take pride in building a world-class product that makes a difference in people's lives.
PythonSQLData AnalysisStrategyAlgorithmsData analysisGoCommunication Skills
Posted 2024-10-16
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