Emphasis is on end-to-end delivery of analysis
Extremely comfortable working with data, including managing large number of data sources, analyzing data quality, and pro-actively working with client’s data/ IT teams to resolve issues
Hands on experience on Machine Learning algorithms such as Logistic Regression, Random Forest, XG Boost
Use variety of analytical tools (Python, SQL, PySpark etc.) to carry out analysis and drive conclusions
Reformulate highly technical information into concise, understandable terms for presentations

Required skills: Python, SQL, Tableau
3
6 years of consulting, analytics delivery experience
Experience in Banking and Financial Services domain is preferred.
Master’s or Bachelor's degree in math, statistics, economics, computer engineering or related analytics field
Very strong analytical skills with the demonstrated ability to research and make decisions based on the day-to-day and complex customer problems required
Experience of working in financial services and risk analytics domain, a plus
Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work
Outstanding written and verbal communication skills

Data Analyst

Key skills