Description

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

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.
• Conduct training sessions to contribute to firm growth and knowledge sharing.
• 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 the following: linear regression, logistic regression, cluster analysis, PCA/Factor analysis, or decision trees.
• Experience working with large, multiple datasets and data warehouses.
• Working knowledge of MS Excel, including pivot tables and related functions.
• Ability to derive insights from data and present findings to client teams.

Preferred Skills

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

Key Skills

Education

Any Graduate