[CIMB] Sales Analytics and Analytics Support Specialist SG

Location: Singapore
Contact email: careersrise@bcg.com
Published: 6 days ago
Startdate: 19 September 2023 - 19 September 2023


Job Requirements

Work with large amount and complex data sets to evaluate, recommend and support the implementation of consumer products’ business strategies.

Be familiar with and have full engagement on the various platforms and systems to which Decision Management needs to scope in the data-related and/or data-driven business requirements.

Be proactive in any digitization and data-driven solutions to improve capabilities, processes and systems of the department.

Collaborate and work closely with business units to understand, clarify and interpret business dashboards and data analytics for effective portfolio monitoring and prompt business problems solving.

Perform analytics and apply data science in the development and application of segmentation rules, automation, and process optimization to facilitate business decision making.

Partner with product teams to identify new growth opportunities, devise solutions and continuously enhance data capabilities to support growth.

Business data enrichment through understanding and using new internal and external data sources for analytics to unlock new insights for the consumer business.

Partner with peer analysts and business units to improve BAU activities and implement new initiatives; Optimize effectiveness and ROI of business activities through executing, tracking, learning and fine-tuning.

complete loop of analytics lifecycle.

Provide support for CBS reports, submissions and related processes. Be the subject-matter-expert of the Decision Management Department for CBS related items.

Perform Incentives and referrals computation and drive Sales Analytics capabilities.

Support CCO on their analytics and process portfolio management requirements.

The following are key responsibilities based on function/ engagement:

Enhance Shareholders' Value (Financial)

Provide support on managing analytics requirements on Consumer Banking portfolio, overseeing various analytics platforms and systems, ensuring processes run optimally and in an automated fashion.

Internal Business Process

Evaluate stakeholders’ needs and create plan of action to provide solutions.

Monitor technology use and program functionality, creating updating and automating tasks and enhancing outputs and DataMarts.

Develop and review decision management, marketing, campaign and strategy models to implement managed business growth in line with the direction of the business.

Establish, monitor and manage end-to-end portfolio, business management and business strategy activities through the application of Analytics, Decision Management Infrastructure and Business Intelligence.

Engage, collaborate, and work with appropriate business enablers including, but not limited to, IT, RPA, Platform Efficiency and Operation and Service excellence to further understand and establish the business processes and systems to further drive automation and optimization.



Degree in Business Analytics / Statistics / Mathematics / Computer Science / Information Systems.

Extensive knowledge on various Business Intelligence and Data Science platforms such as SAS, Tableau / Qlik / Power BI (BI), Python (Data Science).

Relevant Work Experience

Minimum 5 years of relevant experience in data analytics and decision science domain.

Strong analytical skills and good knowledge of the banking industry, especially in Consumer Business area.

Strong background on infrastructure and Data Engineering.

Self-motivated team player with strong communication skills and presentation skills.

Working knowledge of SAS, MS SQL, Python, R and Microsoft Office suite and data visualization tools etc.


Proficient in SAS, SQL, Python, R Programming and MS Excel.

Must be able to solve problem quickly and efficiently.

Interest in Data Engineering and Data Infrastructure (background is a plus).

Strong analytical and communication skills.

Proficient in any BI tool (Tableau, Qlik, Power BI).

Familiar with Agile, Scrum concepts.