TechnologiesScripting and Programming (e.g., Python, SQL, R, Java, Scala, etc.)Big Data Tools (e.g., Hadoop, Hive, Pig, Impala, Mahout, etc.)Data Management (e.g., Informatica, Collibra, SAP, Oracle, IBM etc.)Predictive Analytics (e.g., Python, IBM SPSS, SAS Enterprise Miner, RPL, Matl, etc.)Data Visualization (e.g., Tableau, PowerBI, TIBCO-Spotfire, CliqView, SPSS, etc.)Data Mining (e.g., Microsoft SQL Server, etc.)+1 more
Skills RequiredExperience with internal controls readiness assessments and control implementationProficiency in NI 52-109 and SOX standardsExperience in data architecture, data management, data engineering, data science or data analyticsExperience in building analytical queries and dashboards using SQL, noSQL, Python etc.Proficient in SQL and quantitative analysis, you can deep dive into large amounts of data, draw meaningful insights, dissect business issues and draw actionable conclusions