The successful candidate will turn data into information information into insight and insight into business decisions.
Data analyst responsibilities include conducting full lifecycle analysis to include requirements activities and design.
Data analysts will develop analysis 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
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
- Oracle expertise is strongly preferred
- Alteryx experience a plus
- Advanced level of proficiency in Microsoft Excel
- Extensive knowledge of SQL PostgreSQL preferred and/or R. Python experience is ideal
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