LinkedIn's Analytics team uses data analysis to drive the company's social network monetization efforts. This award-winning innovative analytics team is rapidly reinventing the way data analysis can be leveraged in our data-centric world. Join the Analytics team if you are up to the challenge of delivering highly relevant business insights from big data.
A successful candidate will be both creative and technical, with a collaborative and resourceful style that's contagious. Our team is small, highly entrepreneurial, and business-focused.
Overall, a highly driven, results-oriented, creative and nimble problem solver with a willingness to do 'whatever it takes' to deliver business impact quickly. Ability to prioritize and set direction in a fast moving environment. Work with a team of high - performing analytics professionals and product/marketing managers to identify business opportunities and optimize product performance/engagement. Own end-to-end product/marketing analytics. Analyze and mine both structured and unstructured data to drive product centric as well as user-centric insights. Craft compelling stories; make logical recommendations; drive informed actions. Be thought partner to product/marketing managers in making data-driven business decisions. Create insightful automated dashboards and data visualizations to track key business metrics.
BS + 5 years of industry experience OR MS + 4 years of industry experience Degree in quantitative fields - Computer Science, Engineering, Mathematics, Operations Research, Statistics, Economics, or related fields. Experience with SQL (Teradata, Oracle, etc) and querying from Hadoop (Pig, Hive). Experience working with statistical analysis software such as R, SPSS, SAS, etc.
Experience with both Product and Marketing Analytics Degree in quantitative fields - Computer Science, Engineering, Mathematics, Operations Research, Statistics, Economics, or related fields. Strong technical skills in querying against and transforming big data within both Hadoop HDFS system and relational databases. Fluency in a statistical analysis software such as R, SPSS, SAS, etc. Fluency in a scripting language such as Python, PERL, RUBY, etc. Experience with Tableau or other data visualization and BI dashboarding tools. Excellent communications skills, with the ability to synthesize, simplify and explain complex problems to different types of audience.
A little about us:
LinkedIn's vision is to create economic opportunity for every member of the global workforce. Our employee talent is our #1 operating priority.