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Head, Data Analytics

Head, Data Analytics

OCBCKuala Lumpur, Kuala Lumpur, Malaysia
7 hours ago
Job description

Overview

Join to apply for the Head, Data Analytics role at OCBC .

As Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires. Today, we’re on a journey of transformation, leveraging technology and creativity to become a future-ready learning organisation, with the strategic ambition to be Asia’s leading financial services partner for a sustainable future.

Your Opportunity Starts Here.

Responsibilities

  • Data-Driven Strategies : Develop and implement data-driven strategies to enhance decision-making processes and drive business growth. Collaborate with senior management to identify key business objectives and align data analytics initiatives accordingly. Foster collaboration with departments across the organization to identify opportunities for data-driven initiatives, ensuring analytics solutions address specific business challenges and contribute to overall growth. Utilize advanced analytics techniques to uncover insights from large datasets and provide actionable recommendations. Establish KPIs and metrics to measure the effectiveness of data analytics initiatives, regularly reporting progress to senior leadership and making data-driven recommendations for improvements.
  • Customer Acquisitions And Cross-Selling : Utilize data analytics to identify potential high-value customers and develop targeted strategies for customer acquisition. Design cross-selling initiatives based on customer behavior and preferences, driving revenue growth. Collaborate with sales and marketing teams to create personalized customer experiences using data-driven insights.
  • Innovation : Lead efforts to innovate data analytics methodologies, tools, and technologies to stay ahead in the rapidly evolving financial industry. Foster a culture of innovation within the data analytics team by encouraging experimentation and creative problem-solving. Identify emerging trends in data analytics and leverage them to create new business opportunities.
  • Data Projects : Oversee end-to-end execution of data projects, including data collection, processing, analysis, and visualization. Manage project timelines, budgets, and resources, ensuring successful delivery of data-driven solutions. Work closely with data engineers and analysts to ensure data quality and integrity throughout project lifecycles.
  • Human Capital : Build and lead a high-performing data analytics team by hiring, mentoring, and developing top talent. Define roles and responsibilities within the team, fostering a collaborative and results-oriented environment. Provide guidance and support for professional growth, skill development, and career progression of team members.

Requirements

  • Minimum of 10-15 years of experience in data analytics and financial services, with at least 3 years in a leadership role.
  • Proven ability to develop and implement a data analytics strategy aligned with the bank's overall goals and objectives.
  • Strong background in data management, statistical analysis, data mining, and machine learning techniques, using tools such as Python, R, SQL, and data visualization tools.
  • Deep understanding of wholesale banking operations, financial products, risk management, and regulatory compliance.
  • Demonstrated leadership in managing and mentoring a diverse team of data analysts, data scientists, and business analysts.
  • Ability to collaborate with senior management, business heads, and IT teams to identify analytics opportunities and translate them into actionable insights.
  • Proven track record of solving complex business challenges using data-driven approaches, and the ability to identify areas for process improvement.
  • Excellent written and verbal communication skills to present findings and recommendations to both technical and non-technical stakeholders.
  • Stay up to date with emerging trends in data analytics, fintech, and banking technology to drive innovation within the analytics function.
  • Familiarity with data privacy regulations and financial industry regulations to ensure compliance in data handling and reporting.

    • What We Offer

  • Competitive base salary.
  • A suite of holistic, flexible benefits to suit every lifestyle.
  • Community initiatives.
  • Industry-leading learning and professional development opportunities.
  • Your wellbeing, growth and aspirations are cared for as the needs of our customers.

    • Additional Details

  • Seniority level : Director
  • Employment type : Full-time
  • Job function : Business Development and Sales
  • Industry : Banking

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