Job Description
Overview :
We are seeking an experienced data analytics consultant to join our team that specializes in delivering advanced data solutions for US-based clients in banking and financial services.
Responsibilities :
- Design and Implement Models : Develop, implement, and document statistical models to support business intelligence, machine learning, and data science initiatives. Design, develop, and implement robust data engineering pipelines to extract, transform, and load (ETL) data from various sources into Snowflake data warehouse.
- Data Analysis : Perform data analysis to identify trends, patterns, and insights. Implement analytical frameworks within AWS SageMaker for predictive analytics and data-driven decision support.
- Collaboration : Work with business analysts, data scientists, and other stakeholders to understand data requirements and translate them into statistical models.
- Optimization : Optimize existing models to improve performance and accuracy.
- Reporting : Create reports and visualizations to communicate findings to stakeholders. Utilize PowerBI to create interactive and visually compelling dashboards that communicate complex data insights in an easily understandable manner.
Qualifications :
Educational Background : A degree in Statistics, Mathematics, Computer Science, or a related field. (IIT / NIT preferred)Industry Experience : Minimum of 3 years of experience in data engineering and analytics consulting. Previous experience in statistical modeling, data analysis, and machine learning. Knowledge of Banking Domain.Technical Skills : Strong proficiency in Python and SQL is essential. Hands-on experience with AWS SageMaker, Snowflake, PowerBI .Analytical Skills : Strong analytical and problem-solving skills. Past experience in problem solving roles, strategic initiatives etc.Communication Skills : Excellent communication and stakeholder management skills.