Lead Data Analyst/Developer - ETL Tools @ Inspiration Manpower

Job Description

Job Description 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) Strong experience with any ETL frameworks / tools Knowledge of statistics and experience using statistical packages for analyzing 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. BS in Mathematics, Economics, Computer Science, Information Management or Statistics Job 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. (ref:hirist.com

Employement Category:

Employement Type: Full time
Industry: Others
Role Category: Back Office OperationsCustomer Service (International)
Functional Area: Not Applicable
Role/Responsibilies: Lead Data Analyst/Developer - ETL Tools

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Keyskills:   data models data mining databases programming tools statistics analytical skills queries report writing Mathematics Economics Computer Science Information Management Statistics Data Analyst Business Data Analyst database design development segmentation techniques reporting packages ETL frameworks statistical packages presenting findings