A strong proficiency in querying and manipulating large data sets for analytical purposes using SQL-like languages
(Hive / Impala experience preferred)
Advanced Excel and PowerPoint Skills, including use of the PowerPivot add-in
Familiarity with big data platforms such as Hadoop and Amazon Redshift
Experience with data visualization tools such as Tableau
Good attention to detail and ability to QA multiple data sources
Desired experience in developing and implementing a full range of analytic techniques resulting from the application of business analytics, statistical models, segmentation techniques, and optimization techniques
Requirements
Help define and drive roadmap for delivery of usage analytics to business stakeholders
Work with product and business teams to understand data needs, provide in-depth analysis support and share associated business insights
Perform regular ad-hoc data querying and analysis to better understand customer behaviors including acquisition, engagement, conversion and retention
Gather, synthesize and interpret disparate quantitative information sources, develop meaningful insights and clearly disseminating to key stakeholders
Create and update regular reporting based on a variety of data sources
Understand, monitor, QA, translate, collaborate with business stakeholders to ensure on-going data quality
