5-10 years of experience in analytics domain
Good knowledge of Statistical techniques and their application
Demonstrated experience in coming up solutions to loosely defined business problems by leveraging structured and unstructured data sets
Proficiency in statistical analysis, quantitative analytics,forecasting/predictive analytics, multivariate testing, and optimization algorithms.
Experience in Programming skills SAS or R
Excellent communication and interpersonal skills
Masters degree in Mathematics/Statistics
OR B.E/B.Tech /M.E/M.Tech
MBA from a reputed institute
Work closely with relevant stakeholders to identify opportunities and define problem statements that could be solved through analytics while gaining an understanding of their operations and operating context
Sourcing data (structured and unstructured) from various internal and external systems, cleansing and preparing for statistical analysis
Leverages on new data collection processes and techniques for e.g geo-location and social media
Develops statistical models and uses various statistical tools to generate insight leading to decisions.
Summarises and presents the findings/analysis/insights in a manner that is easy to understand by larger business community.
Understand complex business scenarios and communicate the users story from data to variety of stakeholders
Makes recommendations on data collection , integration and retention requirements aligning with business requirements and best practices
Develops experimental design approaches, prototypes and create proof of concepts for the business to evaluate
Develops innovative and effective approaches to solve analytics problems and communicates results and methodologies.
Identifies and analyses patterns in the volume of data supporting the initiative, the type of data (e.g images, text, clickstream or metering data) and the speed or sudden variations in data collection.
Recommends ongoing improvements to methods and algorithms that lead to findings, including new information.
Enable reporting and MI teams and educate them on approaches like testing hypotheses and statistical validation of results.