The Role:

• Track and optimize performance of growth initiatives across outbound and on app channels

• Analyze large datasets using SQL and Python to extract valuable insights and trends.

• Create insightful dashboard to enable business team with easy access to actionable data.

• Design, develop, and automate data pipelines using Python scripts and SQL to support customer engagement initiatives

• Collaborate with data science team to develop ML models for personalization and automation initiatives

• Design and oversee A/B tests using their knowledge of statistical methods (t-tests, chi-squared etc.)

What we are looking for:

• Bachelor's degree in Computer Science, Data Science, Statistics, or related field.

• Experience in data engineering, data analysis, or related roles.

• Intermediate to proficient SQL skills to perform data analysis

• Experienced in Scripting and automation of tasks using Python(Pandas, Numpy, Requests, JSON) preferred 

• Fluent in Statistical concepts including A/B testing, uplift calculation, p-test, t-test, statistical significance 

• Good understanding of statistics and its application to data analysis.

• Basic understanding of data science concepts and methodologies.

• Experience in the consumer internet industry is a plus.

• Experience of working with dashboarding tools like Tableau, Power BI, Superset..

• 5 years  of prior experience in Product Analytics or other forms of data analysis in a high-tech company.

• Preferred to have an experience working in a fast-paced environment, multitasking and working under tight deadlines.