Partner closely with cross functional teams to provide data-driven solutions and recommendations.
Design and develop data preparation components and processes that extract and transform data across disparate database tables (structured and unstructured data) by creating aggregates tables for reporting and analytics, ensuring integrity of analysis data.
Gather and process raw data at scale – advanced proficiency in writing scripts
Designing, integrating and documenting technical components for seamless data extraction and analysis on data platform
Deliver ad-hoc analysis to support business decisions.
Qualifications:
Bachelor’s degree in a quantitative field - Computer Science, Mathematics, Engineering or related fields; Master’s preferred.
4-7 years of work experience involving quantitative data analysis.
Database experience with advanced SQL or SQL-like skills (Hadoop-Hive); experience researching and manipulating complex and large data sets;
Working knowledge of data and statistical analysis (eg. Cohorted analysis, Campaign Analysis, A/B tests)
Experience with AWS cloud and data visualization tools like Tableau
Ability to communicate information effectively to a variety of groups at different le