Data Scientist II (Business Operations & Analytics)

Location: Singapore (Hybrid – 3 days in office)
Employment Type: 12-Month Contract (Renewable based on business needs and performance)

About the Role

We are partnering with a leading global technology organization that powers communication and engagement for billions of users worldwide. The Business Messaging team supports enterprises in connecting with their customers through large-scale messaging platforms and digital communication solutions.

We are seeking a strategic and analytical Data Scientist II to drive impactful data initiatives, support operational excellence, and influence business decisions through data-driven insights. This role is ideal for someone who enjoys solving complex business problems, working with large datasets, and collaborating with cross-functional stakeholders in a fast-paced environment.

Key Responsibilities

Data Strategy & Business Impact

• Develop and execute data-driven strategies that influence operational performance and business outcomes.
• Identify trends, risks, and opportunities through data analysis and provide actionable recommendations.

Advanced Analytics & Modelling

• Design, develop, and maintain analytical models using large and complex datasets.
• Utilize SQL and big data technologies to uncover insights and support decision-making.
• Perform root-cause analysis to investigate operational issues and performance trends.

Reporting & Visualization

• Build and maintain dashboards, reporting frameworks, and KPI tracking systems.
• Translate complex datasets into clear visualizations and executive-ready insights.

Stakeholder Management

• Present findings and recommendations to both technical and non-technical stakeholders.
• Collaborate across operations, product, and business teams to align data initiatives with organizational goals.

Continuous Improvement

• Drive process optimization initiatives through analytics and automation.
• Promote best practices in data science, reporting, and AI-enabled workflows.

Requirements

Must-Have Skills

• 2–4 years of experience in data analytics, data science, or operational analytics.
• Advanced SQL skills, including complex joins, query optimization, and data extraction from multiple sources.
• Experience with data visualization and reporting tools such as Tableau or equivalent.
• Strong analytical and problem-solving capabilities.
• Proven ability to turn data into compelling business stories and recommendations.
• Experience using AI tools to improve productivity, analysis, or decision-making.
• Excellent communication and stakeholder management skills.

Preferred Skills

• Experience with Python or R for data analysis and automation.
• Familiarity with big data platforms such as Hive, Presto, or similar technologies.
• Background in customer operations, technical operations, shared services, or support environments.
• Exposure to KPI management, operational performance measurement, and process improvement initiatives.
• Project management experience is advantageous.

What You'll Gain

• Opportunity to work within a globally recognized technology environment.
• Exposure to large-scale operations supporting millions of business interactions daily.
• Hands-on experience with advanced analytics, operational strategy, and AI-driven data solutions.
• Visibility with regional and global stakeholders.
• A dynamic, collaborative, and high-performing team culture.

Interview Process

• One technical and behavioural interview (approximately 45 minutes)
• Advanced SQL assessment
• Discussion on problem-solving approach, stakeholder management, and communication skills

Amos Tan Jun Han

EA Licence Number: 91C2918

Personnel Registration Number: R23113385