JOB OPENINGS
DATA ANALYST
// 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;
– Adept at queries, report writing and presenting findings.
// EXPERIENCE
– 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;
/ 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;
– Adept at queries, report writing and presenting findings.
/ EXPERIENCE /
– 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;