Responsibilities
Leverage tools like SQL, Hadoop, R, PHP, Python, Oracle, Java, and Excel to drive efficient analytics and reporting or performing data extraction from mySQL/oracle/hive leveraging an extremely large data set
Focus on collecting, parsing, managing, analyzing and visualizing large sets of data to turn information into insights using multiple platforms
Work with internal technical operations teams to define metrics, automate data collection, synthesize relevant data, build analytical models and forecasts
Create and manage failure and/or trend analysis
Create and/or assist in the development of tools or data dashboards that drive efficiency
Requirements
BA/BS degree
Strong in statistics fundamentals, set theory and relational algebra
Experience of 4+ years of programming (C++, JAVA, PHP, PERL, PYTHON etc.)
Proficiency in SQL is required
Demonstrated problem solving ability with experience providing practical business insights from large, complex data sets
Understanding Data warehousing concepts: ETL, OLAP vs. OLTP, Slowly Changing Dimensions, is a plus
Reporting / dashboarding with any BI tool (Microstrategy, Tableau, Business Objects etc.) is desired
Basic knowledge (college level or hands-on) of stats modeling: classification, logistic regression, decision trees, clustering, k-fold cross validation, etc. required
Provide strong interpersonal skills while acting under diverse roles
Liaison, consultant, leader, peer, owner, customer, etc.
Experience in technical operations or hardware that supports a large scale website beneficial
Able to work in an extremely high volume, high energy environment