Assistant Manager - Analytics
Mumbai, IN
Key Responsibilities:
- Perform data analysis to uncover patterns, trends, and insights to support decision-making.
- Build, validate, and optimize machine learning models for business use cases in EdTech, Healthcare, BFS and Media.
- Develop scalable ETL pipelines to preprocess and manage large datasets.
- Communicate actionable insights through visualizations and reports to stakeholders.
- Collaborate with engineering teams to implement and deploy models in production (good to have).
Core Skills:
- Data Analysis: Expert in Python (Pandas, NumPy), SQL, R, and exploratory data analysis (EDA).
- Machine Learning: Skilled in Scikit-learn, TensorFlow, PyTorch, and XGBoost for predictive modeling.
- Statistics: Strong understanding of regression, classification, hypothesis testing, and time-series analysis.
- Visualization: Proficient in Tableau, Power BI, Matplotlib, and Seaborn.
- ML Engineering (Good to Have): Experience with model deployment using AWS SageMaker, GCP AI, or Docker.
- Big Data (Good to Have): Familiarity with Spark, Hadoop, and distributed computing frameworks.