Manager, Data Analytics

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.

Key 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:

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
• 5+ years of experience in data analytics or a related field, with at least 2 years in a leadership or management role.
• Strong proficiency in data analytics tools and languages (e.g., SQL, Python, R) and experience with data visualization tools (e.g., Tableau, Power BI, Looker).
• Hands-on experience with statistical analysis, data mining, and predictive modeling.
• Proven ability to manage teams, deliver insights, and work cross-functionally with multiple stakeholders.
• Excellent communication and presentation skills, with the ability to explain complex data insights to non-technical audiences.

Preferred Skills:

• Experience with cloud data platforms (e.g., AWS, GCP, Azure) and big data technologies.
• Knowledge of advanced analytics techniques, such as machine learning, AI, and automation.
• Experience working in [industry-specific knowledge, e.g., fintech, e-commerce, healthcare].

Strong business acumen and understanding of how data analytics drives value in business.

Are you game?