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Open nowPosted 11 days ago

Senior Specialist, GCBB Customer Analytics & Insights

RHB464 open roles

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Kuala Lumpur
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Your applicationOpen nowSenior Specialist, GCBB Customer Analytics & InsightsRHB · Kuala Lumpur
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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. RHB postings stay open a median of 10 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 11 days ago

RHB median: 10 days open

The posting

The Senior Specialist, GCBB Customer Analytics & Insights will play a pivotal role in leveraging data to drive strategic decisions within Group Corporate & Commercial Banking (GCBB) division.

This role involves developing and implementing analytics solutions to understand customer behavior, identify growth opportunities, and optimize product and service offerings.

Responsibilities:

  • Drive customer portfolio analytics initiatives and translate insights into actionable campaign opportunities and business strategies.
  • Provide analytical support, data and reporting, and performance monitoring for business portfolio management.
  • Lead data automation, reporting enhancement, and process improvement initiatives to increase operational efficiency.
  • Analyze large and complex datasets to identify customer insights, business opportunities, and growth drivers.
  • Develop and maintain dashboards, management reports, and performance monitoring tools to support decision-making.
  • Collaborate with IT and Data Engineering teams to enhance data quality, database capabilities, automation, and data enrichment processes.
  • Monitor and analyze key business metrics, including customer acquisition, retention, engagement, portfolio performance, and campaign fulfilment.
  • Partner with business stakeholders to understand requirements and translate them into data-driven analytics solutions.
  • Apply advanced analytics, statistical techniques, and machine learning models to address business challenges and improve outcomes.
  • Provide guidance and mentorship to junior analysts while fostering a strong data-driven culture within the organization.
  • Present analytical findings and recommendations to stakeholders and management in a clear and impactful manner.

Requirements:

  • Bachelor's or Master's degree in a quantitative discipline such as Statistics, Data Science, Business Analytics, Decision Science, Computer Science, or a related field.
  • Minimum 5-7 years of relevant experience in portfolio analytics, customer analytics, MIS, campaign analytics, business intelligence, or data management, preferably within the banking or financial services industry.
  • Strong technical proficiency in SAS, SQL, and Python for data extraction, transformation, analysis, and modeling.
  • Hands-on experience with data visualization and reporting tools such as Power BI, Cognos, Quick BI, or equivalent platforms.
  • Good understanding of SME, Commercial, and Corporate Banking products, customer segments, and business processes.
  • Strong analytical, problem-solving, and critical-thinking skills with the ability to derive actionable business insights from complex datasets.
  • Strong team player with the ability to collaborate across business, technology, and data teams to deliver data-driven solutions.
  • Effective data storytelling, presentation, and stakeholder management skills, with the ability to communicate insights to both technical and non-technical audiences.
  • Experience in statistical analysis, predictive modeling, machine learning, and data mining techniques.
  • Self-motivated, proactive, and capable of managing multiple priorities in a fast-paced, dynamic environment.
  • Exposure to Big Data technologies and platforms such as Hadoop, Spark, EDL, or cloud-based analytics environments will be an added advantage.
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