SQL, database design, data models, Excel and Power BI are required.
As a Data Analyst with strong skills to help collect, measure, organize and analyses data
Knowledge of programming languages like SQL, Oracle, R, MATLAB, and Python
Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.
Experience in handling reporting packages like Business Objects, programming (Javascript, XML, ETL frameworks), databases
Proficiency in statistics and statistical packages like Excel, SPSS, SAS to be used for data set analyzing
Adept at using data processing platforms like Hadoop and Apache Spark
Knowledge of data visualization software like PowerBI
Knowledge of how to create and apply the most accurate algorithms to datasets to find solutions