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Havells India
Havells India

IT_Data Analytics_1 (100)

Uttar Pradesh, India
8-15 years exp
Full-time
Posted 3d ago
0 views
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Job Description

1. Statistical Forecasting

  • 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.

2. Regression & Predictive Modelling

  • Build and validate regression models (linear, logistic, regularized models such as Lasso/Ridge/ElasticNet).

  • Conduct multivariate analysis, hypothesis testing, and variable selection.

  • Ensure diagnostic checks (multicollinearity, residual analysis, heteroscedasticity, model fit KPIs).

3. Classification & Machine Learning

  • Develop classification models (Random Forests, XGBoost, SVM, Gradient Boosting, Neural Networks).

  • Perform model training, validation, hyperparameter tuning, and cross‑validation.

  • Build end‑to‑end ML pipelines including data preprocessing, feature engineering, and model deployment.

4. Data Management & Analytics

  • Extract, clean, transform, and analyze large structured and unstructured datasets.

  • Use SQL, Python, R, or Spark for data manipulation and wrangling.

  • Build analytical dashboards or presentations for leadership consumption.

 

5. Business Problem Solving

 

  • Translate ambiguous business problems into structured analytical frameworks.

  • Present complex analytical findings in simple, business-friendly language.

  • Work with cross‑functional teams to support data-driven decision making.

 

 

 

 

Statistical Forecasting

  • 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.

2. Regression & Predictive Modelling

  • Build and validate regression models (linear, logistic, regularized models such as Lasso/Ridge/ElasticNet).

  • Conduct multivariate analysis, hypothesis testing, and variable selection.

  • Ensure diagnostic checks (multicollinearity, residual analysis, heteroscedasticity, model fit KPIs).

3. Classification & Machine Learning

  • Develop classification models (Random Forests, XGBoost, SVM, Gradient Boosting, Neural Networks).

  • Perform model training, validation, hyperparameter tuning, and cross‑validation.

  • Build end‑to‑end ML pipelines including data preprocessing, feature engineering, and model deployment.

4. Data Management & Analytics

  • Extract, clean, transform, and analyze large structured and unstructured datasets.

  • Use SQL, Python, R, or Spark for data manipulation and wrangling.

  • Build analytical dashboards or presentations for leadership consumption.

 

5. Business Problem Solving

 

  • Translate ambiguous business problems into structured analytical frameworks.

  • Present complex analytical findings in simple, business-friendly language.

  • Work with cross‑functional teams to support data-driven decision making.

  • Bachelor’s or Master’s degree in

Statistics, Mathematics, Economics, Engineering, Computer Science, or Data Science

.

8-15 years

of relevant experience in statistical forecasting, predictive analytics, or data science roles.

  • Experience in manufacturing or/and retail is a plus.

  • Exposure to cloud environments (Azure, AWS, GCP).

  • Experience with MLOps, model monitoring, and versioning (MLflow, Git).

  • Knowledge of NLP or deep learning is an advantage.

  • Prior experience in building automated forecasting/propensity/Deep Learning pipelines.

  • Strong experience in

Python/Pyspark and/or R

(pandas, NumPy, scikit‑learn, statsmodels, tidyverse).

  • Hands-on experience with

time-series forecasting techniques

.

  • Familiarity with

classification algorithms and ensemble methods

.

  • Strong understanding of statistics: distributions, probability, ANOVA, hypothesis testing.

  • Practical experience in

SQL

and working with large datasets (preferably Spark / Databricks).

  • Experience with visualization tools (Power BI, Tableau, matplotlib, seaborn).

Frequently Asked Questions

How to apply for IT_Data Analytics_1 (100) at Havells India?

Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.

What is the salary for this role?

Salary details will be discussed during the interview.

What experience is required?

8-15 years of experience is required.

Is this position still open?

Yes, currently active and accepting applications.

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Havells India

Havells India

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IT_Data Analytics_1 (100)

Havells India · Uttar Pradesh

Apply on Company Website