•3+ years of experience in data management and data analytics;
•Proficiency in math, statistics, and probability theory;
•Strong systemic and algorithmic thinking;
•Experience with SQL and schema-design;
•Knowledge of A/B testing concepts and tools;
•Strong data munging/processing skills;
•Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
•Strong data modeling skills;
•Professional experience using Python for purposes of model development model implementation in production;
•Experience with BI tools: Google Data Studio/ Microsoft PowerBI / Tableau etc.
•Experience with Data Science and Machine Learning;
•Experience managing Data Analytics team.
•Conduct fast search for data-driven insights;
•Perform complex analytics requests;
•Conduct large-scale data analysis to make business recommendations (e.g. what-if, cost-benefit, impact analysis);
•Own the monitoring of business metrics, product/launch performance and proactively communicate findings to help business focus on key decisions to improve products and services;
•Present findings and recommendations to multiple levels of stakeholders, by creating visualizations of quantitative information;
•Perform exploratory data analysis to find product improvement features that can drive additional value for users;
•Develop and automate reports, iteratively build and prototype dashboards to provide insights at scale;
•Provide result interpretations;
Manage stakeholder request queue;
Manage and execute the process of A/B testing.