Data Analytics

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
• Determine operational objectives by studying business functions; gathering information; evaluating output requirements and formats
• Construct workflow charts and diagrams via Microsoft Office; studying system capabilities; writing specifications
• Improve systems by studying current practices; designing modifications
• Recommend controls by identifying problems; writing improved procedures
• Prepare technical reports by collecting, analyzing and summarizing information and trends
• Validate resource requirements and develop cost estimate models
• Interpret, evaluate and interrelate research data and develop integrated business analyses and projections for incorporation into strategic decision-making
• Perform daily, weekly and monthly reviews and analyses of current processes using operational metrics and reports
• Understand and communicate the financial and operational impact of any changes
• Suggest changes to senior management using analytics to support your recommendations.
• Create informative, actionable and repeatable reporting that highlights relevant business trends and opportunities for improvement
• Conduct insightful, ad hoc analyses to investigate ongoing or one-time operational issues

 Requirements:

• 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 (R Language or Python)
• Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS etc)
• Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy
• Adept at queries, report writing and presenting findings via Microsoft Office
• BS in Mathematics, Economics, Computer Science, Information Management or Statistics