Key Responsibilities :
1) a Interpret data, analyze results using statistical techniques and provide ongoing reports
2) Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
3) Acquire data from primary or secondary data sources and maintain databases/data systems
4) Identify, analyze, and interpret trends or patterns in complex data sets
5) BigData framework like Apache Spark/Py Spark, AWS, SQL and ETL tools like Streamsets/Informatica
Technical Experience :
1) Proven working experience as a Data Analyst or Business Data Analyst
2) Technical expertise regarding data models, database design development, data mining and segmentation techniques
3) Strong knowledge of and experience with reporting packages Business Objects etc, databases SQL etc, programming XML, Javascript, or ETL frameworks d Knowledge of statistics and experience using statistical packages for analyzing datasets Excel, SPSS, SAS etc Strong knowledge in Oracle PLSQL
Professional Attributes :
1) a Should have good communication skills and interpersonal skills
2) Should have good analytical skills
3) Should have the ability to understand the client requirements
4) Should be flexible enough to support any adhoc request/work
