◆ BA/BS in Computer Science, Math, Physics, Engineering, Statistics or other technical field.
◆ Experience in product analytics. Examples of relevant experience include: funnel optimization, user segmentation, retention analyses, churn modeling, forecasting, regression models, Customer Lifetime Value etc.
◆ Experience with SQL
◆ Experience in Python, R, Perl or other scripting language
◆ Experience with building reporting systems and data pipeline architecture
◆ Ability to work in a fast-paced, dynamic environment based on the needs of internal teams
◆ Experience creating and telling stories from data
◆ Bonus Point
◆ Experience with building ML models such as neural networks, logistic regression, etc.