Description

You will use large-scale datasets to drive insights into customer behavior, product performance, and marketing effectiveness.

Responsibilities

• Evaluate program feature and marketing content performance using customer response, conversion, and retention metrics.
• Execute statistical testing for A/B and multivariate experiments.
• Design, build, and maintain metrics and reports to monitor program health.
• Perform deep-dive exploratory data analysis and hypothesis-based univariate/bivariate analyses to investigate unusual patterns.
• Develop new metrics and studies to quantify customer behavior and trends.
• Collaborate with finance teams to conduct business and financial analysis, including forecasting.

Required Skills

• 7+ years of experience working with large-scale, complex datasets.
• Advanced SQL proficiency for data extraction and manipulation.
• Experience with scripting languages including Python and PySpark.
• Strong knowledge of A/B testing and statistical methodologies.
• Proficiency in data visualization and analytical problem-solving.
• Ability to decompose business requirements into actionable analytical plans.
• Background in statistics, programming, or marketing.
• Graduate degree in math, statistics, computer science, or marketing is highly desirable.

Preferred Skills

• Experience with SAS.

Key Skills

Education

Any Graduate