- Using quantitative background to dive into large datasets to guide decision-making.
- This individual will drive scaling adoption of platform usage through experimentation, identifying opportunities through exploratory analysis and measuring incremental impact.
- This individual will be driving the efforts on the Growth team, which enables our client to seamlessly talk to its users to maximize the long-term impact. We build features that help scale how we communicate and target users across different user lifecycles.
- You will have to work closely with cross functional teams (like product and engineering) and if you enjoy finding patterns amidst chaos, and have experience using analytics to affect revenue, growth, marketing or beyond,
Required Experience and Skills:
- A degree in Math, Physics, Statistics, Economics, Computer Science, or similar domain
- 6 to 9 years of experience in data analytics, consulting, or related quantitative role
- Expertise with SQL, A/B Testing & Experimentation
- statistical analysis (e.g. hypothesis testing, experimentation, regressions)
- using tools like R or Python Understanding of causal inference methodologies (e.g. match markets, synthetic control) and other experimentation/quasi-experimentation methods preferred
- Basic understanding of brand marketing, marketing channels and metrics would be preferred Proficiency in one or more analytics & visualization tools (e.g. Sigma, Looker, Tableau)
- The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
- The determination to initiate and lead projects to completion in a scrappy environment with good communication skills
- Able to work in a fast-paced work environment, detail oriented and can independently deal with ambiguous issues on your own