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AM/ Manager - Data Science & Analytics

Keywords / Skills : Data Analytics, data mining, Excel, VBA, Python, C++, SQL, operations research, Java

5 - 7 years
Posted: 2019-01-24

Nationality
Singapore
Industry
Recruitment/Staffing/RPO
Function
IT
Role
Software Engineer/ Programmer
Posted On
24th Jan 2019
Job Ref code
9172
Job Description
Permanent Opportunity with Good Compensation & benefits Market Leading Financial services company Looking at Data Analysts with QlikView / Qlik sense Expertise with R , Python & SQL to work on large data sets. Assistant Manager / Manager - Data Analytics and Science The candidate will analyze large amounts of raw and semi-processed information to find patterns to help make better decisions. You will be adept at using large data sets to find opportunities for process optimization and using models to test the effectiveness of different courses of actions. Day to Day Tasks Build dashboards to extract valuable business and financial insights. Analyse trends and drivers to make better decisions Work with stakeholders throughout the company especially the Customer Service Department to identify opportunities for leveraging company data to drive business and operations solutions Develop Metrics dashboard for both BAU and Transformation Ability to drive business results with data-based insights. Be an advocate for Analytics, aligning operations teams’ understanding of the transformation journey and help to remove barriers. Primary focus is to use the information to develop data-driven solutions to address difficult business and operations challenges. Required Skillset At least 5-7 years of experience developing data sets and building statistical models, has a degree in Statistics, Mathematics, Computer Science, Engineering or another quantitative field, and is familiar with the following software/tools: Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset. Experience using business intelligence tools Qliksense and Qlikview/Tableau and data frameworks (e.g. Hadoop). Knowledge Proficiency in applying various data mining techniques, perform statistical analysis, and build high quality prediction systems integrated with our processes. Experience in working with and creating data architectures Understanding of machine-learning and operations research will be an advantage. Strong math and numerical skills (e.g. statistics, algebra, Excel, VBA). Please send your resume in WORD format by clicking the apply button below or contact Preetika Bhatia on +65 6701 1523 for a confidential discussion. Please note that only short-listed candidates will be contacted. CEI Reg. Number R1767372 (Bhatia Preetika).

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