IT_Data Analytics_1 (100)

About the role

Develop and maintain time-series forecasting models (ARIMA, SARIMA, ETS, Prophet, Theta, ML-based forecasting,exogenous variable modelling etc.). Perform trend, seasonality, and variance analysis to improve forecast accuracy. Build demand forecasting, sales forecasting, or operational forecasting models for business planning.

What you'll do

• Develop and maintain time-series forecasting models (ARIMA, SARIMA, ETS, Prophet, Theta, ML-based forecasting,exogenous variable modelling etc.)
• Perform trend, seasonality, and variance analysis to improve forecast accuracy
• Build demand forecasting, sales forecasting, or operational forecasting models for business planning
• Collaborate with business units to incorporate domain signals into forecasting logic
• Build and validate regression models (linear, logistic, regularized models such as Lasso/Ridge/ElasticNet)

What you need

• 8–15 years in data & business analytics
• Data analysis
• SQL
• Dashboarding
• Power BI
• Python
• R
• B.Tech or B.E.

Good to have

• NLP
• Databricks
• Pandas
• Tableau
• Machine learning
• Spark

What you get