DATA ANALYST Education 4-year Business Mathematics, Statistics, Data Science (or related) Degree Master’s in business administration is advantageous Experience Senior: 8+ years Relevant Experience, Specialist: 5+ years of Relevant Experience. A minimum of 5 years’ experience in Financial services, consulting, strategy, analytics, engineering, or related industry 5 years of experience in data structuration, data management, analytics, big data, and a similar environment Minimum of 1–2 years’ experience in an area of Data Science, at a specialist level within the financial / banking industry or telecommunications industry Experience working in a medium to large organization Experience of working in an Agile/DevOps environment Proficiency in working with Python (Numpy, Scikit-learn, Pandas, Scipy, Matplotlib, Tensorflow, Keras, Seaborn, Bokeh), SAS or R / Scala for data clean up and advanced data analytics Working knowledge in Hadoop, Apache Spark and related Big Data technologies (MapReduce, PIG, HIVE) Demonstrated experience utilizing software tools to query and report data: SAS (Enterprise Guide and/or programming), tableau, Power BI, D3, VBA, SQL, and Business Objects Highly proficient in database management systems like Postgres, Oracle, Mongo, MSSQL Experience working across global locations/regions and have a grasp of political, social, infrastructure and integrity challenges Demonstrated experience utilizing cloud technologies such as Azure #J-18808-Ljbffr