Flipkart Recruitment Drive 2022 | For Business Analyst

You will work closely with internal Flipkart Teams to identify, define, collect, and track key business metrics for products or business processes.  Pull data required to conduct business analysis, build reports, dashboards and metrics to monitor the performance.  Work with the stakeholders to take data driven decisions. Troubleshooting and debugging of various BI tools to support various Contact Centre performance management and analytics and other Business needs. Database Management of different sources and customer tagging databases to create integrated views that can be used to drive decision making.

Working with several medium -large and complex SQL databases and SQL queries for data mining. Use advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities for various teams in CX. Own the exploratory data analysis of metrics and assist the CX stakeholders  in building analytical views in Power Bi, provide RCAs, prepare storyboards, perform statistical validations for various hypotheses, mine text data  etc. Own the design and development of projects that involve predictive analytics and assist the CX stakeholders in delivering the driver models for the metrics, improvement in forecasting models, application of machine learning algorithms for solving business problems.

Bachelor’s degree in Engineering, Statistics or related major preferred, 3+ years Business Analytics experience. Strong knowledge of SQL, Power Bi, MS Excel, Programming in R & Python. Must be a self-starter who requires minimal supervision, with excellent problem-solving skills, Prior experience in the BI & Analytics function of a large scale B2C domestic/international contact center or consulting firm . (Mandatory), Advanced Excel Skills (Mandatory), Strong statistical & machine learning programming skills using R and Python (Mandatory). Expert level data manipulation skills using libraries like dplyr(R), pandas(python) (Mandatory). Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries (Mandatory).

Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units (Mandatory). Good understanding and practical application of Machine Learning concepts like Regression (Linear, Logistic, Regularization), Classification using Supervised as well as Unsupervised Learning (K-Means, KNN, SVM, Decision Trees, Random Forests, Naive Bayes) (Mandatory). Exposure to Natural Language Processing techniques for Sentiment Analysis, Text Classification, Comment Analysis (Preferred). Exposure to Time Series Modelling techniques like ARIMA, ARIMAX, Prophet (Preferred). Experience working with and creating databases and dashboards using all relevant data to inform decisions (Preferred)