To succeed in this role, you must have strong analytical skills and be able to collect and process large amounts of data from various sources.

• Apply your expertise in quantitative analysis, data mining, and presentation of data to see beyond the numbers and understand how users interact with our products.
• Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
• Inform, influence, support, and execute product decisions.

• A minimum of 3-5 years of experience in quantitative analysis, data mining, and presentation of data.
• Bachelor's degree in Math, Statistics, Economics, Computer Science, or other quantitative field. Advanced degrees preferred but not required.
• Experience in collecting and processing data from various resources using SQL, R/Python, or other scripting and statistics tools.
• Familiarity with data analytics, machine learning frameworks, and statistical analysis (e.g., hypothesis testing, experimentation, regression).

• HR Interview
• Assignment
• User Interview
• Psychological Assessment