Business Analytics Specialist

What is this position about? Position Overview We are seeking a Business Analytics Specialist to join our Business Analytics team in BNP Paribas Wealth Management APAC. In this role, you will support data-driven decision-making by analyzing private banking data, developing insights, and visualizing trends to enhance client strategies and operational efficiency.

This role is ideal for an analyst with 3-5 years of hands-on experience in R/Python, SQL, and Tableau, preferably in private banking or financial services. You will work closely with business and IT stakeholders as well as senior analysts to deliver actionable insights and automate reporting processes.

In This High-impact Role, You Will

• Drive data-driven decision-making by delivering actionable insights from private banking data, ensuring senior management relies on accurate, timely, and visually compelling analytics.
• Own the end-to-end analytics lifecycle, including
• Exploratory data analysis (EDA) to uncover patterns, trends, and opportunities
• Diagnostic analytics to understand and forecast client behavior, sales steering and business outcomes, enabling proactive decision-making
• Deployment and operationalization of analytics solutions, from development to production, with rigorous quality and risk assurance
• BAU (Business As Usual) cycles, ensuring seamless data refreshes, governance, and automation of R, Python, and Tableau workflows
• Bridge the gap between data and strategy, translating complex analytics into clear, high-impact recommendations that influence key business decisions and using Agile/Lean approaches to ensure projects are delivered reliability and efficiently

What would be your typical day at BNPP Paribas look like? Primary Role Responsibilities

• Data Analysis & Insights
• Perform exploratory data analysis (EDA) using R/Python to identify trends, patterns, and opportunities in private banking data (e.g., client segmentation, profitability analysis).
• Clean, transform, and aggregate data for accurate and efficient analysis.
• Assist in diagnostic analysis (e.g., transaction activity drivers and outliers, RM & client engagement patterns, cross-selling opportunities etc) under the guidance of senior analysts.
• Support the team in translating data findings into clear, actionable recommendations for business stakeholders.
• Visualization & Reporting
• Develop and maintain Tableau dashboards to visualize key metrics (e.g., performance steering, transaction activities, funding progress).
• Automate BAU (Business As Usual) reports using Python/R scripts to reduce manual effort and improve accuracy.
• Collaborate with business & sales managers to create analytics tools (e.g., campaign engagement, client contact, client portfolio performance trends etc).
• Data Governance & Operations
• Ensure data quality and governance by validating datasets and adhering to internal standards.
• Assist in automating data refresh cycles for Tableau dashboards and reports.
• Monitor and respond to data quality triggers and exceptions
• Support the deployment of analytics solutions from development to production, including basic quality assurance checks.
• Collaboration & Stakeholder Management
• Work with cross-functional teams (e.g., BM, SM & IT) to gather requirements and align analytics deliverables with business goals.
• Present findings in a clear and concise manner to non-technical stakeholders.
• Participate in Agile/Lean methodologies to ensure efficient project execution.

What is required for you to succeed? Qualifications

• 3-5 years of hands-on experience in leading data analytics, preferably in a private banking, wealth management environment.
• Bachelor's degree in Data Science, Data Analytics, Applied Statistics, or a related field.
• Proficiency in R, Python for data analysis, SQL for data extraction, Tableau (desktop, Prep, Server) for visualization and dashboarding.
• Familia