Description

Understand the business problem, able to convert it as an analytical problem. Understand the data need, collect, interpret and clean the data for analysis Produce meaningful insights using analytical/data modelling techniques and interpret and justify the results with the business context Able to present the analysis and results to the business stakeholders Generate BI reports and able to automate them Work with management to prioritize business and information needs Educational Qualification: Graduate / Post-graduate degree in Business Management / Statistics / Economics / Finance Required Experience: 1-3 years of experience working in analytics, data science or related experience Attention to detail, and should be open to learn quickly on new technologies and statistical techniques in analytics like Machine Learning, AI, SAS, AWS, Python, Tableau etc. Working experience with tools such as Google Analytics/ Adobe Analytics Required skills and competencies: Technical expertise regarding data modelling using statistical techniques, data mining, generate and automate BI reports Strong knowledge of and experience with the data modelling techniques like Time Series, Regression, Segmentation, Clustering, Market Mix, Machine Learning, AI Strong analytical skills to be able to understand the business problem, collect and analyze the data and able to interpret the results Strong written and verbal communication skill and be able to present the results to the senior stakeholders Overall understanding of US Retirement Industry Self-motivation, excellent accountability and ownership skills Role: Data Science & Machine Learning - Other Industry Type: Financial Services Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning

Role and Responsibilities

• Understand the business problem, able to convert it as an analytical problem. Understand the data need, collect, interpret and clean the data for analysis Produce meaningful insights using analytical/data modelling techniques and interpret and justify the results with the business context Able to present the analysis and results to the business stakeholders Generate BI reports and able to automate them Work with management to prioritize business and information needs Educational Qualification: Graduate / Post-graduate degree in Business Management / Statistics / Economics / Finance Required Experience: 1-3 years of experience working in analytics, data science or related experience Attention to detail, and should be open to learn quickly on new technologies and statistical techniques in analytics like Machine Learning, AI, SAS, AWS, Python, Tableau etc. Working experience with tools such as Google Analytics/ Adobe Analytics Required skills and competencies: Technical expertise regarding data modelling using statistical techniques, data mining, generate and automate BI reports Strong knowledge of and experience with the data modelling techniques like Time Series, Regression, Segmentation, Clustering, Market Mix, Machine Learning, AI Strong analytical skills to be able to understand the business problem, collect and analyze the data and able to interpret the results Strong written and verbal communication skill and be able to present the results to the senior stakeholders Overall understanding of US Retirement Industry Self-motivation, excellent accountability and ownership skills Role: Data Science & Machine Learning - Other Industry Type: Financial Services Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning