Associate, Economic Graph Analytics
Posted: January 22, 2017
Reference ID: 1111240731
LinkedIn's vision is to create economic opportunity for every member of the global workforce. The Economic Graph team mission is to reach that vision by bringing to life data and pilot projects that help leaders address the challenges of the modern workforce and help members outside of LinkedIn's core navigate their education and employment challenges.
The Analytics team is looking for a talented and driven Analytics Associate to join our team to support projects partnering with governments, NGOs, and think tanks. Projects range from understanding talent migration to computing the relative supply and demand of skills on a local, national, and international level. We are looking for an individual passionate about mining big data, turning data into insights, and making an impact through rigorous analysis, creative storytelling, and timely actions. This highly-visible role requires an adaptable analytics professional that can turn broad, ambiguous questions into tangible insights communicated clearly to partners.
Responsibilities Analyze large datasets to investigate key regional trends, behaviors and metrics Act at Economic Graph scale; take customized one-off analyses and scale them to represent millions of members Brainstorm creative solutions to economic problems, and support solutions with hypothesis-based analytical evidence Build reports, dashboards, models and tools to help our policy team communicate the value of LinkedIn to external stakeholders Perform external research to refine hypotheses and cross-validate results Consult and communicate with LinkedIn's policy team and external policy leaders to showcase Economic Graph insights Stay up to date on economic theories that can inform new intellectual property/research projects Assist with developing strategy and managing operational metrics for various initiatives Coordinate cross-functionally including engineering, PR, marketing, product and sales to drive business objectives
Bachelor's degree in a quantitative or social sciences field of study such as Computer Science, Engineering, Statistics, Economics, and Public Policy Experience with R, Python, or other scripting languages for data prep, analysis, and machine learning 2+ years of experience with SQL analyzing large datasets using databases such as Teradata, Oracle, and MySQL 3+ years of analytics experience within a relevant industry or organization (Ex. tech, social media, finance, retail, research institutes). Analytics experience include functions such as data science, data analysis, and statistical/predictive modeling
Strong oral and written communication skills. Strong ability to communicate findings clearly to both technical and non-technical audiences. This individual must be able to interact internally and externally to drive business and technical discussions Experience with Hadoop (Hive, Pig, or MapReduce) Familiarity with data visualization and/or BI tools (Ex. Tableau) Experience in ETL processes and tools Background and experience in statistics, predictive modeling, and machine learning Experience with applied social science research or familiarity with publicly-available government data sets such as those provided by the BLS, Census Bureau, and the Department of Labor Experience using scripting languages such as Unix shell, PHP, and Python Experience working in the internet industry, on social impact, public policy or consulting a plus