Description

You will design and develop data-driven analysis solutions to solve complex business problems using statistical and advanced analytics methodologies.

This role is on-site.

Responsibilities

• Execute end-to-end client engagements, including stakeholder management and risk analysis.
• Architect and design reporting solutions tailored to specific client requirements.
• Support sales teams with RFP responses and technical pitches.
• Track project execution and success metrics to ensure effective delivery.

Required Skills

• 7+ years of experience in data analytics projects.
• Proficiency in SQL-based platforms for data restructuring and cleansing, including deep knowledge of joins and functions.
• Advanced machine learning knowledge covering GBM, random forest, and neural networks.
• Experience with Python and NumPy.
• Hands-on experience with TensorFlow and Keras.
• Practical modeling experience with at least two of: linear regression, logistic regression, cluster analysis, PCA/Factor analysis, or decision trees.
• Experience working with large, multiple datasets and data warehouses.

Preferred Skills

• PySpark, Hive, and PowerBI experience.
• Expertise in Tableau, including developing complex dashboards and defining optimized backend data structures.

Key Skills

Education

Any Graduate