Head of Analytics and Business Intelligence

Pos Malaysia Berhad; Kuala Lumpur; On-site; MYR 250,000 - 300,000; Full time

Job summary

A leading logistics company is seeking a Head of Analytics to lead their data transformation initiatives. This role requires at least 12 years of progressive experience in analytics, a Bachelor's degree in a relevant field, and proficiency in AWS, SQL, and data presentation tools. The successful candidate will manage a diverse team and foster a culture of data-driven decision-making. This is a pivotal opportunity to contribute to the transformation of a 200-year-old business in Kuala Lumpur.

Qualifications

• Minimum of 12 years of experience in analytics, business intelligence, or related fields.
• Proficiency in tools like AWS, SQL, Python, Tableau/Power BI.
• Strong communication and collaboration skills.

Responsibilities

• Lead data transformation strategy and execution.
• Design scalable data lakehouse architecture.
• Establish self-service analytics for business teams.
• Manage a team of data professionals and promote data-driven insights.

Skills

Analytical mindset

Communication skills

Collaboration skills

Experience with AWS

SQL proficiency

Python proficiency

Experience with Tableau/Power BI

Education

Bachelor’s degree in Computer Science

Bachelor’s degree in Software Engineering

Bachelor’s degree in Applied Mathematics

Job description

Overview

At Pos Malaysia, we are passionate about building trust to connect lives and businesses. As we transform this 200-year-old business, we seek highly motivated, engaged, passionate and driven individuals to join our team and contribute to the transformation challenge and opportunities ahead.

Responsibilities

• Lead all facets of data transformation, encompassing strategy, platforms, cloud architecture, analytics, and change management to drive organizational goals.
• Define comprehensive data and analytics strategies, roadmaps, and visions aligned with business objectives.
• Oversee the development and implementation of an enterprise-wide data and information strategy; develop and enforce data policies and procedures based on industry best practices.
• Lead data management, governance, and data quality frameworks to ensure data integrity and reliability.
• Design a scalable and cost-effective data lakehouse architecture to support long-term business needs.
• Manage a multidisciplinary team of data professionals including data analysts, data engineers, data scientists, and machine learning specialists.
• Foster a culture of analytical excellence across the organization, promoting data-driven decision-making.
• Establish self-service analytics platforms for business teams to enable data-driven insights and decision-making.
• Develop data-driven strategies to identify cost-saving opportunities and revenue growth.
• Implement analytics solutions tailored for commercial, retail, and financial domains.

Build Trust

• Oversee project planning, execution, and delivery, ensuring alignment with scope, timelines, and budget constraints that support business objectives.
• Collaborate closely with stakeholders from technology and product teams to understand requirements and provide data-driven solutions.
• Advise stakeholders on leveraging emerging trends and technologies to optimize revenue and reduce costs.

One Team

• Provide leadership and mentorship to the analytics team, fostering a collaborative and supportive work environment.
• Foster a culture of data-driven decision-making and continuous improvement within the team.
• Drive innovation in data science and machine learning to productize and monetize data assets.

Move Fast

• Thrive in a dynamic and fast-paced work environment, ensuring timely delivery of projects within defined deadlines.
• Prioritize effectively in response to changing business needs and evolving priorities.
• Manage customer profiles and segments to enhance marketing automation and improve customer experience.
• Communicate project status, deliverables, and plans effectively to internal stakeholders to ensure alignment and transparency.

Job Requirements

• Minimum of 12 years of progressive experience in analytics, business intelligence, or related fields.
• Bachelor’s degree in Computer Science, Software Engineering, Applied Mathematics, or a related discipline.
• Proficiency in tools and technologies such as AWS, SQL, Python, Tableau/Power BI, and data warehousing solutions.
• Analytical mindset with the ability to identify business problems and develop innovative solutions using data.
• Strong communication and collaboration skills with demonstrated ability to work effectively in cross-functional teams.

This is a super exciting time to be joining Pos Malaysia. Your contributions will help us to write the next chapter in our history.

Application Questions

1. Which of the following statements best describes your right to work in Malaysia?
2. What’s your expected monthly basic salary?
3. Which of the following types of qualifications do you have?
4. How many years\' experience do you have as a Head of Analytics?
5. Have you worked in a role which requires a sound understanding of business intelligence (BI) best practices?
6. Which of the following web analytics tools are you experienced with?
7. Which of the following programming languages are you experienced in?
8. How many years\' experience do you have using SQL queries?

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