Responsibilities :
Collect, clean, and organize large datasets from various sources
Perform data analysis using statistical methods, machine learning techniques, and data visualization tools
Identify patterns, trends, and anomalies within datasets to uncover insights
Develop and maintain data models to represent the organization's business operations
Create interactive dashboards and reports to communicate data findings to stakeholders
Document data analysis procedures and findings to ensure knowledge transfer
Additional Responsibilities:
A high degree of initiative and flexibility
High customer orientation
High quality awareness
Excellent verbal and written communication skills
Logical thinking and problem solving skills along with an ability to collaborate
Two or three industry domain knowledge
Understanding of the financial processes for various types of projects and the various pricing models available
Client Interfacing skills
Knowledge of SDLC and agile methodologies
Project and Team management
Technical and Professional Requirements:
5+ years of experience as a Data Analyst or similar role.
Proven track record of collecting, cleaning, analyzing, and interpreting large datasets
Expertise in Pipeline designing and Validation
