Roles and Responsibilities:
Interpreting data, analyzing results using statistical techniques
Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality
Acquire data from primary or secondary data sources and maintain databases/data systems and prepare reports required by management
Identify, analyze, and interpret trends or patterns in complex data sets
Define data collection needs for mobile and backend applications for each feature.
Forecast using collected data and external data sources
Degree in Computer Science or related field (IT / Math / Statistics / Engineering)
Proven working experience as a data analyst or business data analyst
Strong analytical thinker who knows how to pick the right tool for the job
Strong knowledge on data mining and segmentation techniques
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
Strong written and verbal communication skills including technical writing skills
and ability to present analysis in a clear and concise manner.
Exposure to one or more of data collection tools like Google Analytics, Branch, Appsflyer, AppSee etc would be required.
Exposure to one or more of data manipulation languages/frameworks like Spark, Hive/Pig/MapReduce for Big Data, Flink etc would be required.
Exposure to one or more of visualization tools like Tableau, Power BI, Qlikview, Spotfire, Google Data Studio, D3.JS would be required.