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