Executive/Senior Executive/AM/DM
JD for CVM and Fraud Analytics Team, Vodafone, Pune
Must Have :
- Knowledge of statistics, predictive modelling, data manipulation
- Must have proficiency in one or more of the following tools: SAS, SPSS
- Should be able to handle data and prepare insightful presentations
- Must have hands on experience in one or more of following tools: Excel, SQL, Teradata
- Should have 2-6 Years of experience in analytics industry
- Must have done at least two end to end predictive modeling project
- Should have good communication skills
- Should have used done projects on one or more of following: Churn, Cross-Sell, Up-Sell, Market Basket Analysis, Optimization, TSP, Forecasting, Segmentation, Up-Lift measurement, customer acquisition, Fraud detection,, market mix modelling, Collaborative filtering, LTV etc
- Knowledge of Statistics: ANOVA, ANCOVA, Bayes Theorem, Probability distributions, hypothesis testing, t-test, F-test, chi-square test, Information Values, factor analysis etc
Good to Have :
- Basic knowledge of Telecom industry
- Working knowledge of algorithms: Decision Trees: CART, CHAID, C5.0, Logistic Regression, KNN, ANN, SVM, Linear Regression, Bayesian Networks, PCA, Feature Selection, SNA, Association Rules, K-Means, ARIMA, Random Forest, Bootstrapping and Bagging, etc
- Leadership skills, Managerial Skills :
- Manage, oversee and deliver analytics projects which may involve model development, validation, governance, implementation, and end-to-end delivery of solutions
- Conduct analytics training for stakeholders as per business needs
- Develop and enhance relationships with internal and external partners to ensure effective execution of the strategies
- Help prepare and deliver business cases to justify the introduction of new (or updates to existing) strategies
- Recommend suggested solutions to stakeholders which will address issues and opportunities identified through analysis
- The development of strategies to detect and prevent undesirable trends, across the customer lifecycle e.g. predictive models, high risk rules etc.
- The identification of new insight to improve and enhance the existing systems/strategies already in place
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