Business Analytic Head

Responsibilities

Business partners and analytics-driven specialists for identifying incremental business revenue and volume potential through quantitative methodology by developing actionable insights, identification of business opportunities, and becoming key enablers as a revenue generator for Credit Card, Personal Loan Mortgage, and Auto Loan Business Formulating various business insights through the use of analytics-driven methodology and scoring method to identify business opportunities Complete preparation of business insights framework from opportunities gathering, data sizing, business presentation, and revenue/ volume impact analysis Exploring new business opportunities to increase business campaign leads based on a regular basis for card & lending business by implementing a relevant data statistic modeling approach Collaborate with a business partner for the execution phase while adopting business goals for contact rate and response rate Regular review in accordance with data security guidelines and adequate control management Active participation in related projects involving DM including process improvement review for existing workflow for better turnaround and improve efficiency and effectivity Ensure data security, integrity, and distribution according to existing regulations regarding data management, retention, and information security Full compliance with data management, security, and distribution Qualifications & Work Experience

Bachelor's / Master's Degree in Statistics/Mathematics, Computer/Information Technology, or Quantitative Economics/Finance Relevant Work Experience: Min 5 years of analytics experience (banking or non banking analytics) is required and minimum of 1 years in Big Data use case implementation Economics/Finance Technical Skills

Data analytics or Modeling experience preferably in SAS / SQL / HUE / R / Phyton Have exposure or working experience with Big Data platform (i.e: R language, Hadoop, etc), inclusive of machine learning, experimental design, and optimization Have experience in hands on development of propensity models, market using logistic regression and multi-variate regression Have experience in Digital Analytics and Digital Analytics Platform (eg: Adobe Analytics, DMP, Appsflyer, MoEngage , SiteCore etc) Have experience in building dashboard using Data visualization tools: Tableau, Qlik, or Power BI Preferred: Strong business domain knowledge in Consumer Banking or Corporate Banking Solid critical thinking and analytical skills to work well with numbers and complex data Experience for handling and analyzing big amount of data for better information and insights Seniority level

Mid-Senior level Employment type

Full-time Job function

Information Technology, Project Management, and Science Industries

Banking

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