Understand the business problem, able to convert it as an analytical problem.
Understand the data need, collect, interpret and clean the data for analysis
Work under guidance to 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 supervisor to prioritize business and information needs
EDUCATION:
Graduate / Post-graduate degree in Business Management / Statistics / Economics / Finance
OTHER PREFERRED QUALIFICATIONS:
0-2 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.
Some exposure with tools such as Google Analytics/ Adobe Analytics
Technical expertise regarding data modelling using statistical techniques, data mining, generate and automate BI reports
Strong knowledge of 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
Self-motivation, excellent accountability and ownership skills
Excellent team player
Job Classification
Industry: Financial Services Functional Area / Department: Data Science & Analytics Role Category: Data Science & Analytics - Other Role: Data Science & Analytics - Other Employement Type: Full time