Retail Analytics Head

CIMB Niaga; Tangerang Selatan; Vor Ort; IDR 120.000.000 - 240.000.000; Vollzeit

Zusammenfassung

CIMB Niaga in Indonesia is seeking a Senior Analytics Lead to partner with consumer banking and beyond, identifying lucrative initiatives and insights from internal and external data sources. You will develop actionable insights, build propensity modeling, and drive cross-functional analytics across Retail, Digital and CX teams.

You will lead big data use cases, guide analytics strategy, mentor analysts, and translate projects into measurable business value while ensuring data-driven decisions

Qualifikationen

• Bachelor's Degree in Statistics/ Mathematics, or Computer/Information Technology, or Quantitative Economics/Finance.
• 5-7 years of financial services analytics experience and at least 2 years in Big Data use case implementation.
• Certified Risk Management Certification (BSMR) – Level 2.

Aufgaben

• Lead strategic initiatives for bankwide Big Data capabilities and cross-functional analytics initiatives.
• Drive marketing effectiveness and cross-sell initiatives through Big data.
• Develop relationship-based pricing initiatives and monitor business performance using analytics.
• Provide actionable insights to measure and improve performance across Retail, Digital and CX.
• Mentor and up-skill junior & senior analysts.

Kenntnisse

Big Data analytics

Propensity modeling

Marketing analytics

Leadership

Data visualization

Ausbildung

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

Tools

Hadoop

R language

Tableau

Jobbeschreibung

Job Purpose

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.
• Certified Risk Management Certification (BSMR) – Level 2