Manager, Data Analytics

Overview

Razer Inc. is hiring for the role of Manager, Data Analytics in Bangsar South, Federal Territory of Kuala Lumpur, Malaysia.

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Responsibilities

• Data Analytics Strategy & Execution
• Develop and execute a comprehensive data analytics strategy to support the company’s business goals.
• Lead the creation of analytics frameworks and processes to generate insights that inform product development, marketing, and operational efficiency.
• Ensure that data-driven insights are used to optimize business performance and enhance customer experiences.
• Team Leadership & Development
• Manage, mentor, and develop a team of data analysts and data scientists, ensuring continuous improvement in analytical skills and output.
• Foster a collaborative, data-driven culture within the team and across the organization.
• Set clear goals and KPIs for the team, providing regular feedback and performance evaluations.
• Data Tools & Infrastructure
• Oversee the implementation and use of advanced analytics tools (e.g., SQL, Python, R) and data visualization platforms (e.g., Tableau, Power BI).
• Collaborate with engineering and IT teams to ensure the data infrastructure supports the organization’s analytics needs, including data collection, integration, and reporting systems.
• Continuously assess and implement new tools and technologies that enhance data analytics capabilities.
• Data-Driven Insights & Reporting
• Develop and maintain reports, dashboards, and visualizations that communicate key business insights to stakeholders at all levels of the organization.
• Identify trends, patterns, and opportunities from large datasets, and provide actionable recommendations to optimize business operations.
• Collaborate with business units to define key metrics and ensure that performance is tracked against goals.
• Collaboration & Stakeholder Management
• Partner with cross-functional teams including marketing, finance, product, and operations to ensure alignment of analytics initiatives with business objectives.
• Act as the key point of contact for analytics across the organization, ensuring stakeholders have access to accurate and timely data.
• Communicate complex data insights in a clear and actionable way to both technical and non-technical stakeholders.
• Advanced Analytics & Predictive Modeling
• Lead initiatives that leverage advanced analytics techniques, such as machine learning and predictive modeling, to solve business challenges.
• Develop models to forecast customer behavior, optimize marketing strategies, and enhance product performance.
• Ensure continuous improvement in analytics processes and methods to stay ahead of industry trends and best practices.
• Data Governance & Quality
• Ensure data accuracy, integrity, and consistency across all analytics platforms and tools.
• Establish data governance processes to maintain high standards in data quality and ensure compliance with relevant regulations.
• Work with the data engineering team to enhance data collection and warehousing for more accurate and reliable analytics.

Key Qualifications

Preferred Skills

Pre-Requisites

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