Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
Apply technical expertise with quantitative analysis, experimentation, data mining, forecasting and the presentation of data to identify trends and patterns that can inform decision-making.
Collaborate closely with Product, Engineering, Finance, Operations, Data Science, Advanced Analytics, Product Insights Analysts, Data and Analytical Engineering, Capacity Planning and other cross-functional teams to provide actionable insights.
Develop and implement advanced forecasting models to not only predict key performance metrics but also understand the metric’s actual performance.
Design, execute, and analyze experiments to measure feature impact and guide product iterations. Leverage causal methods when traditional randomized trials aren’t available.
Design and build metrics / dimensions to monitor product and business performance.
Build sophisticated reporting and analytical tools that empower stakeholders to make data-driven decisions.
Present findings and recommendations to stakeholders, including senior leadership, in a clear and concise manner.
Stay up-to-date with the latest industry trends and advancements in quantitative and qualitative data analysis techniques.
Your Expertise:
A quantitative undergraduate degree with a strong preference for candidates holding an MBA or equivalent advanced degree, with 9+ years of industry experience in a Data Science, Analytics, Investment Banking or equivalent role.
Deep technical expertise in data and statistical analysis, experimentation, causal inference, forecasting methods, and familiarity with LLMs.
Proficiency in programming languages such as Python or R for data analysis and modeling.
Experience working with large datasets and SQL for data extraction and manipulation.
Self-starter, thrives in ambiguity, and has an investigator mindset of wanting to get to the bottom of problems.
Strong problem-solving and critical thinking abilities, with a keen attention to detail.
Excellent communication and presentation skills, with the ability to effectively communicate complex concepts to both technical and non-technical stakeholders.
Exceptional stakeholder management skills, with a proven ability to collaborate and influence across functions.
An agile, growth-minded approach, demonstrated through a history of driving projects from ideation to impact.
Robust business acumen, strategic thinking skills, and the ability to make informed judgments.
Prior experience in the technology industry or a fast-paced, data-driven environment is preferred.