Cognitud Advisory

Data Analyst

Category: Data & AI - Services

Experience:4-10 years
Location:Pan-India

Your team

You are sought for an integral role in a prestigious IT services, consulting, and business solutions organization with a 50-year history of global partnerships. As India's largest multinational business group, operating in 46+ countries, they boast over 500,000 highly trained consultants. Pioneering financial markets infrastructure and data business, they seek your expertise to enhance our dedication to excellence in Data & Analytics, Capital Markets, and Post Trade services through open-access partnerships to shape the future of global service delivery.

Your job

  • You will be responsible for Emphasis on end-to-end delivery of analyses
  • Highly proficient in working with data, including managing numerous data sources, assessing data quality, and proactively collaborating with clients' data/IT teams to resolve issues
  • Hands-on experience with machine learning algorithms such as Logistic Regression, Random Forest, and XGBoost
  • Proficient in using a variety of analytical tools, including Python, SQL, and PySpark, to perform analyses and draw actionable conclusions
  • Proficient in using a variety of analytical tools, including Python, SQL, and PySpark, to perform analyses and draw actionable conclusions

Capabilities

  • You should have 4-6 years of experience in consulting and analytics delivery
  • Experience in the Banking and Financial Services domain is preferred
  • Bachelor's or Master’s degree in Mathematics, Statistics, Economics, Computer Engineering, or a related analytics field
  • Strong analytical capabilities with a demonstrated ability to research and make informed decisions to solve day-to-day and complex customer problems
  • Experience in financial services and risk analytics is a plus
  • A strong record of achievement, solid analytical ability, and an entrepreneurial, hands-on approach to work
  • Exceptional written and verbal communication skills

Qualifications

Bachelor of Engineering, Bachelor Computer Science or Master Degree