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About the role
Full-Time We are looking for a passionate certified Data Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst responsibilities include conducting a full lifecycle analysis to include requirements, activities and design. Data analysts will develop research and reporting capabilities. They will also monitor performance and quality control plans to identify improvements. Responsibilities • Interpret data, analyze results using statistical techniques and provide ongoing reports • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality • Acquire data from primary or secondary data sources and maintain databases/data systems • Identify, analyze, and interpret trends or patterns in complex data sets • Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems • Work with management to prioritize business and information needs • Locate and define new process improvement opportunities Requirements And Skills • Proven working experience as a Data Analyst or Business Data Analyst • Technical expertise regarding data models, database design development, data mining and segmentation techniques • Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL, etc), programming (XML, Javascript, or ETL frameworks) • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc) • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy • Adept at queries, report writing and presenting findings • BS in Mathematics, Economics, Computer Science, Information
Management or Statistics Skills: SQL, python, r, excel, tableau, power bi,was, spss, data visualization, data mining, machine learning, data warehousing, data modeling, data architecture, data management, statistics, business intelligence, data quality
Full-time
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