The company is looking to solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives.
Requirements
- Significant experience with SQL and large unstructured datasets such as Hadoop
- Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
- Solid background in running multivariate experiments to optimize a product or revenue flow
- Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus
- Product analytics experience in a SAAS company
- Masters’ or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
- 3-5 years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting
Responsibilities
- Develop a deep understanding of customer journey phases and key business metrics
- Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments
- Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights
- Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes
- Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends.
- Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets
- Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments
Other
- Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
- Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction
- Strong verbal and written communication skills
- Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate
- Understand what matters most and prioritize ruthlessly
