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Data Analyst

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Experience: 4-10 years
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Pan-India

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

Skills

Python, SQL, Hive,PySpark, Hadoop, Tableau,analytics delivery

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