Manager, Retail Analytics VN at CIMB BANK VIETNAM

Ho Chi Minh City, Ho Chi Minh, Vietnam -

Full Time

Start Date

Immediate

Expiry Date

14 Oct, 26

Salary

0.0

Posted On

16 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, R, SAS, Google Cloud Platform, Looker Studio, Power BI, Data Visualization, Statistical Modelling, Data Mining, MIS Reporting, Database Management, Project Management, Customer Segmentation, Forecasting, Relational Databases

Industry

Banking

Description

MIS reporting & analysis * Develop and provide daily, monthly and ad-hoc MIS reports. * Data analytics for various areas, including production and timely delivery of reports relating but not limited to customer and product profitability, business opportunity pipeline and tracking. * Compile and perform data mining from various data sources, ensuring data accuracy and developing expertise on data literacy. * Analyze and synthesize data to make insightful recommendations to improve decision making or improve. * Cooperate with business stakeholders to collect requirements and translate them into appropriate data solutions and reporting deliverables. * Promptly develop and implement reporting solutions to meet business requirements. * Design and build data visualization dashboards for monitoring and analysis purpose. * Automating and streamlining the reports by independently identifying the opportunities. Database management and operation support * Operation support on data related when required to clear backlog, manage operations activities and handle ad hoc request/ issue. * Maintain granularity level of Datamart support covering Collection, Fraud, Digital Operations and Support Center. * Campaign & contest management support with commission calculation for customers and sales * Partner reconciliation & commission calculation on monthly basis. * Service reconciliation & payout * Real-time support with Partnership and product and other teams for any ad-hoc requests to support the acquisition strategy. Modelling * Be able to provide statistical modelling such as customer segmentation; propensity; cross-sell prediction; collection roll-rate detection, forecasting, etc. Project management * Be ownership to lead projects assigned during work related to reporting and data analytics. Budgeting support * Support on budgeting aspects related to cost management and amortization for alignment with monthly business’s plan. Undertake other ad-hoc tasks as assigned that may not be explicitly outlined in this job description. Job Requirements * BA / BS degree or higher. * Bachelor’s degree in Finance, Banking; especially in Statistics, Data Science, Computer Science, Mathematics is a preference * >= 5 years of analytical expertise in applying data solutions to business matters. * Hands on experience with programming tools and technologies such as: SQL, Python, R, SAS, Google Cloud Platform, etc. * Proficiency in data visualization and related tool such as Looker Studio, Power BI, etc. * Strong analytical skills with high attention to detail and accuracy * Highly motivated to discover insights, trends, and patterns through data analysis * Strong data visualization skills, able to translate data finding in optimal visual summary to enable quick interpretation by business users * Proficiency building reports and dashboards that distill data and clearly capture key insights * Understanding of relational database and common statistical methods. * Strong aptitude for learning new technologies and analytics techniques * Highly motivated with a focus on continuous improvement and utilizing best practices in data management, reporting and business intelligence * Ability to multi-task on projects in a fast paced, start-up environment with minimal supervision. * Ability to work well in team environment and also independently. * Knowledge in big data analytics is preferred

Responsibilities

Responsible for developing MIS reports, data visualization dashboards, and performing complex data analytics to support Consumer and Digital Banking. The role involves database management, statistical modelling, and collaborating with stakeholders to translate business requirements into data solutions.