Zynga has one of the richest and most complex datasets in the tech industry, and we’re seeking a Senior Data Analyst to help us drive key product insights that will have big impacts to our games and company! The successful candidate will enjoy combining analytic skills with business acumen to provide our game studios with the data and insights that will drive our continued success.
The Senior Data Analyst works closely with product leaders as a data-driven advisor and partner on strategic issues. The candidate should enjoy both working with people and undertaking rigorous statistical analyses.
Execute quantitative analyses that translate data into actionable insights. Provide analytical and data-driven decision-making support for key projects.
Develop new insights and analyses that inform decisions and help us continue to delight the people playing our games
Provide reporting and performance monitoring to game studios using data drawn from diverse sources
Comfortable manipulating, transforming, and analyzing complex, high-volume, high-dimensionality data from varying sources
Good understanding of statistical analysis, and preferred experience with statistical packages such as R, MATLAB, SPSS, SAS, Stata, etc.
5+ years of experience performing quantitative analysis, preferably for a gaming or technology company
Strong hands-on experience with SQL, data warehousing, data modeling, dashboarding and reporting, involving very large datasets and multiple data sources, with ability to interpret data and produce meaningful insights
Excellent SQL skills: extensive experience querying large, complex data sets
Ability to execute research projects, and generate practical results and recommendations
Good client management skills with a strong grasp of both technical and business perspectives
Proven ability to work in a fast-paced environment, and to meet changing deadlines and priorities on multiple simultaneous projects
Excellent organizational, communication and interpersonal skills
Enjoy working in both individual and team settings
B.S. or B.A. in Math, Statistics, Comp Sci, Engineering, or other technical field required; advanced degrees strongly preferred