Senior Associate, Data Analytics, Transformation and Data

Role Overview: As a Senior Associate in Data Analytics, Transformation and Data, your main responsibilities will include identifying opportunities for business growth, supporting the business in meeting budgets through analytical insights, and effectively communicating results and ideas to key decision makers. Key Responsibilities: - Conduct regular portfolio health check-ups through business insights - Identify areas of growth and areas of sluggishness within the portfolio - Drive insight-led actionables to help achieve portfolio targets - Support stakeholders in business reviews - Support key business initiatives for data-driven decision making Qualifications Required: - 3 years of experience in Data Science/Analytics (Consumer Banking, Ecommerce, Retail, Telecoms) with a demonstrated track record of generating value through data-driven solutions - B.Sc./ M.Sc. or equivalent degree in Statistics, Analytics, Applied Mathematics, Operation Research, or equivalent quantitative fields preferred - Prior working experience in analytics is a must - Full understanding of applications of DS/ML/AI solutions to various business problems - Proficiency in using databases like Teradata, NoSQL, and Hadoop using SQL, Hive, PySpark, etc. - Programming experience in Python, R, PySpark, TensorFlow, or other machine learning-oriented programming languages/platforms - Good understanding of technology tools related to analytics, data, and modeling - Ability to communicate complex analysis/models across a diverse team - Good written and oral communication skills - Full understanding of at least one banking product - Strong academic background - Self-motivated, adaptable, focused, and well-organized - Possess a creative bent of mind and should be a strategic thinker Role Overview: As a Senior Associate in Data Analytics, Transformation and Data, your main responsibilities will include identifying opportunities for business growth, supporting the business in meeting budgets through analytical insights, and effectively communicating results and ideas to key decision makers. Key Responsibilities: - Conduct regular portfolio health check-ups through business insights - Identify areas of growth and areas of sluggishness within the portfolio - Drive insight-led actionables to help achieve portfolio targets - Support stakeholders in business reviews - Support key business initiatives for data-driven decision making Qualifications Required: - 3 years of experience in Data Science/Analytics (Consumer Banking, Ecommerce, Retail, Telecoms) with a demonstrated track record of generating value through data-driven solutions - B.Sc./ M.Sc. or equivalent degree in Statistics, Analytics, Applied Mathematics, Operation Research, or equivalent quantitative fields preferred - Prior working experience in analytics is a must - Full understanding of applications of DS/ML/AI solutions to various business problems - Proficiency in using databases like Teradata, NoSQL, and Hadoop using SQL, Hive, PySpark, etc. - Programming experience in Python, R, PySpark, TensorFlow, or other machine learning-oriented programming languages/platforms - Good understanding of technology tools related to analytics, data, and modeling - Ability to communicate complex analysis/models across a diverse team - Good written and oral communication skills - Full understanding of at least one banking product - Strong academic background - Self-motivated, adaptable, focused, and well-organized - Possess a creative bent of mind and should be a strategic thinker