Senior Analyst - Statistical Forecasting/Supply Chain Analytics - BPO/ITeS

Responsibilities:

65% of Time

Statistical forecasting :

- Pre-process and cleanse the input data for outliers and imputation of zero ship periods

- Univariate time series modeling using exponential smoothing and Box Jenkins methods for very large data sets at SKU, warehouse and Customer level in weekly and monthly buckets

- Multivariate modeling incorporating external and causal factors into forecasting

- Leverage machine learning models (Support vectors, Ensembles - Random forest, Gradient boosting etc.) & deep learning (Recurrent Neural network (LSTM) etc.) to generate best in class forecast accuracy.

- Exception handling and alert management to effectively review and manage forecasting KPIs above-defined targets

- Long-term forecasting incorporating strategic inputs from marketing, finance, operations, etc.

- Effectively deploy results to stakeholders using predictive, prescriptive analytics and data visualization

25% of Time:

Segmentation & demand planning analytics :

- Generate forecast for New Items using like item modeling/ machine learning approaches

- Perform descriptive & diagnostics analysis on historical demand & shipment data

- Forecast Visual analytics, scenario planning, model diagnostics

- Build a solution framework for segmented demand planning by leveraging Clustering methods

- Distance matrix, Dimensionality reduction, K-means, DBSCAN, etc.

- Enhance Demand disaggregation methodology and accuracy

10% of Time :

Training / Knowledge :

- Working on Individual development plans

- Interpersonal effectiveness

- Ability to influence across teams/boundaries

- Good written/oral communication

- Learning Agility

- High level of analytical skills, functional competence in the area of Demand management, Ability to influence without power, Good interpersonal skills, etc.

Shift: 1.30 PM to 10.30 PM