Responsibilities
• Filter and cleanse unstructured (or ambiguous) data into usable data sets that can be analysed to extract insights and improve business processes
• Ensure that data flows smoothly from source to destination so that it can be processed
• Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
• Use data to create models that depict trends in the customer base and the consumer population as a whole
• Creating graphs/ pie charts using data representation tool for easy understanding of data
• Developing and maintaining databases
• Work closely with top management to prioritize information and analytic needs
• Collaborate with program managers and business analysts to help them come up with actionable, high-impact insights across product lines and functions
• Build tools for automating repetitive tasks so that bandwidth can be freed for analytics
• Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time
• Create segments of users to target them with customer engagement software
• Follow up on performance insights on particular promotional activity on the app and help in forming future promotional activity on basis of it.
Requirements
• Proven problem solving and debugging skills
• Well versed with descriptive and diagnostic style analysis
• Familiarity with database technologies and tools (SQL/R/SAS/JMP etc.), data warehousing, transformation, and processing.
• Proficiency in statistics and statistical packages like Excel, SPSS, SAS to be used for data set analysing.
• Statistical knowledge in standard techniques: Logistic Regression, Classification models, Cluster Analysis, Neural Networks, Random Forests, Ensembles, etc.
• Knowledge of data visualization software like Tableau, Qlik
• Knowledge of app analytics like playstore console & fireba