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Senior Lead, Business Analytics Wealth Management

salary Salary :

$14,000 - 17,000 yearly

icon building Company : Tangspac
icon briefcase Job Type : Full Time

Number of Applicants

 : 

000+

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Job Description - Senior Lead, Business Analytics Wealth Management

Position Overview:

Global International Bank seeking a Senior Lead Business Analytics to serve as the Deputy Head of their Business Analytics team, shaping the future of their Wealth Management APAC business through cutting-edge analytics, governance, and innovation.

In this high-impact role, you will:

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

Primary Role Responsibilities

Leadership

  1. Function as the deputy head of the Business Analytics team, providing strategic direction and operational oversight.
  2. Serve as direct line manager for business analytics staff, ensuring their professional development, performance management, and career growth.
  3. Lead and oversee business initiatives, guide the team in delivering high-quality analytics solutions.
  4. Develop and maintain effective working relationships within the team and across stakeholders.

Analytics Insights

  1. Drive analytics activities at all stages of the analytics lifecycle, with an emphasis on private banking data to generate actionable insights.
  2. Engage stakeholders to understand business issues and opportunities, ensuring alignment with private banking objectives.
  3. Ensure proper data cleansing, transformation, and aggregation, with a focus on data quality and governance standards.
  4. Demonstrate expert project management skills in planning, estimation, tracking, monitoring, and change management.
  5. Translate analytics findings into actionable business proposals and develop effective communication using data visualization techniques, storytelling, and presentation best practices.
  6. Apply Agile/Lean methodologies to ensure efficient and adaptive project execution.
  7. Utilize Tableau Server as the primary visualization platform and R/Python (on Posit) as the core analytics platform to deliver solutions.

Analytics Operations and Governance

  1. Manage data refresh cycles to ensure timely and accurate updates for analytics and reporting.
  2. Oversee data governance assurance, ensuring compliance with internal standards and understanding implications on business outcomes
  3. Monitor and maintain R, Python, and Tableau job cycles to support seamless Tableau dashboard refreshes.
  4. Lead software deployment progression from development to QA to production, including:
  5. Critical risk and quality assurance checklists
  6. Automation of deployment processes to minimize errors and improve efficiency
  7. Collaboration with IT and business teams to ensure smooth transitions and minimal disruption

What is required for you to succeed?

Qualifications

  1. 10+ years of direct experience in leading data analytics teams, preferably in a private banking environment.
  2. Proven track record of successful execution of data analytics initiatives, with a focus on private banking data and insights.
  3. Bachelor's or Master’s degree in Data Science, Data Analytics, Applied Statistics, or a related field.
  4. Expert-level proficiency in R, Python, Tableau Server, and SQL, with hands-on experience in Tableau Desktop, Prep Builder, Posit (RStudio) Workbench & Connect.
  5. Strong project management skills, including experience in Agile/Lean methodologies, planning, estimation, tracking, and change management.
  6. Experience in managing software deployment cycles, including risk and quality assurance, automation, and compliance.

Skills

  1. Exceptional verbal and written communication skills, with the ability to translate complex analytics findings into clear business recommendations.

• Advanced analytics skills, with a passion for leveraging private banking data to drive business performance.

• Critical thinking and problem-solving skills, with the ability to assess situations, verify facts, and propose data-driven alternatives.

• Strong interpersonal skills, with the ability to collaborate effectively with senior executives, IT teams, and cross-functional stakeholders.

• Expertise in project management, including Agile/Lean approaches, risk management, and deployment automation.

EA: 25C2690 | R1221146

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