Data AnalystSilicon Valley R&D Center is looking for an experienced Data Analyst to join our Ads Technology team. The ideal candidate should have a deep understanding of the entire process of data collection, data analysis, and business intelligence (BI) reporting. The candidate will help optimizing operation rules based on big data analysis, select campaign audience, and monitor/optimize advertisement performance.
The candidate will also help analyze current product designs and recommend improvement in products and processes.Essential FunctionsDefine, measure and track metrics of key features like advertisement campaigns and audience targetingEvaluate the effectiveness and accuracy of 1st part and 3rd party data sources, and improve data gathering techniquesBuild qualitative and quantitative models to deepen understanding of business operations, root cause of changes and predict business and user trendsUse proper visualization techniques to tell data stories, make analysis results conducive to decision-making.Work on routine tasks both independently and with the multi-teams including PM/Engineering/Data ScientistJob Specifications (Education, Knowledge, Skills, and Abilities); (refers to job, not incumbent)Education: Minimum: Bachelor's Degree Preferred: Master's DegreeMajor/Discipline: Mathematics/Computer Science/StatisticsRelevant Work Experience Minimum: 5+ year of data analysis experience Preferred: 6+ years of data analysis experienceSkills & Abilities: (Technical or General)Minimum Requirements:4+ years' experience in Internet services industryHands-on experience with Big Data platform (Hadoop, Hive, etc), Databases (MySQL, Cassandra, etc), pipeline programming (Python, R, Pig, Java, etc.) and visualization frameworks (Tableau, etc.)Strong analytical skills and detail oriented. Excellent analytical thought process – ability to understand the question, and devise an analytical approach to reach actionable answersExcellent written and verbal communication skills for coordinating across teamsPreferred:Experience interpreting quantitative data, constructing predictive models, providing output to identify trends, interpret findings, draw insights, and formulate recommendationsKnowledge and experience in Operational Excellence methodologies (Systems Thinking, Root Cause Analysis, Design for Six Sigma, etc.)Background in Digital Advertising data analysis is a plus