Retail Analytics Head

CIMB Niaga; Tangerang Selatan; On-site; IDR 600,000,000 - 1,000,000,000; Full time

Job summary

CIMB Niaga seeks a senior analytics leader to drive big data initiatives across the bank, leveraging structured and unstructured data to generate insights and revenue opportunities. You will guide cross-functional teams in Retail, Digital, and CX analytics, delivering measurable business value.

The role emphasizes customer journey analytics, sentiment monitoring, and propensity-based optimization, with mentorship duties for junior and senior analysts.

Qualifications

• Bachelor's degree in Statistics/Mathematics, or IT, or Quantitative Economics/Finance.
• 5–7 years in financial services analytics with at least 2 years in Big Data use case implementation.

Responsibilities

• Lead strategic initiatives for Big Data capabilities across the bank.
• Drive marketing effectiveness and cross-sell using analytics.
• Develop Customer 360 strategy and sentiment analytics implementations.
• Mentor and up-skill junior and senior analysts.

Skills

Big Data analytics

Statistical modeling

Hadoop

R language

Tableau

Cross-functional collaboration

Education

Bachelor's Degree in Statistics/Mathematics/IT/Finance

Tools

Hadoop

R

Tableau

Job description

Business partners for consumer banking and beyond for identifying and exploring new initiatives and insights based on internal and external data source. Conduct analytics actitives Retail, Digital and CX business through quantitative methodology by developing actionable insights, identifying revenue opportunity, generating smart leads and building propensity modeling.

Rresponsible for the development of new big data and analytics use case bankwide and proactively works with business team.

Strategy and Planning

• Lead the Bank’s strategic initiative for implementation Big Data capabilities bankwide to process large amount of structured and unstructured data for better customer information for better analysis and insight for future relevant offers as well as the coordination of cross-functional analytic initiatives.
• Drive marketing effectiveness and cross sell initiatives through Big data.
• Drive revenue improvement opportunity initiatives in Preferred, Funding and WM business
• Responsible for development of relationship based pricing initiative accross the bank
• Provide actionable insights to measure and improve business performances
• Prepare strategic recommendations and solution to answer business problems
• Proactively collaborate with Segment, Retail Deposits,Wealth Management & Sales team to apply customer insights
• Development of Customer 360 strategy initiative for understanding better customer engagement and experience across multiple touch points (branch, branchless, digital channel)
• Implementation of Sentiment Analytics to monitor customer feedbacks for improving products and services (such as the implementation of CRM, Speech Analytics, and Customer NPS)
• Strategic development of Customer Journey analysis to provide more relevant content and offering accross multiple channel while measuring marketing campaign effectiveness
• Generate smart leads to respective business units for cross-sell/up-sell activities
• Develop propensity modeling for generating smart leads with higher probability to improve sales productivity and customer’s experience
• Develop regular monitoring for digital analytics website and app performance with relevant digital analytics tools (eg: Adobe Analytics)
• To monitor & boost business performance in terms of funding balance uplift target & preferred segment portfolio growth
• Accelerate cross sell opportunities to increase average product holding and revenue for existing customers
• Translate analytics projects into tangible business value
• Responsible to optimize leads management in various channels to increase effectiveness and produce better yields
• Mentor and up-skill junior & senior analyst

People Management

• Develops, build and manages a team of analytics-driven individuals who are proficient with Big Data technology (i.e:Hadoop,R language,Tableau, etc)
• Supervise, monitor and develop teams’work performance and deliverables across deadlines, milestone and checkpoints.

Qualifications

• Bachelor's Degree in Statistics/Mathematics, or Computer/Information Technology, or Quantitative Economics/Finance
• Minimum 5-7 years of financial services experience in analytic role is required and minimum of 2 years in Big Data use case implementation.