VP Data Strategy & Analytics Leader

GIC Private Limited; Singapore; Hybrid; SGD 120,000 - 160,000; Full time

Benefits offered by this job

Flexible working arrangements

Professional growth opportunities

Diverse and inclusive work culture

Job summary

A leading sovereign wealth fund in Singapore is looking for a VP, Data Business Analyst to manage end-to-end data operations and oversee data quality. You will engage with various stakeholders to improve investment data services and ensure operational excellence. The ideal candidate has at least 6 years of experience in data management and analytics, with strong analytical skills. The role offers a flexible work environment and encourages innovative approaches to data management.

Qualifications

• At least 6 years of working experience, with 3 years in data management or related fields.
• Familiarity with data extraction and visualization tools.
• Strong problem-solving and analytical skills.
• Experience with SDLC and agile methodologies.

Responsibilities

• Manage end-to-end data management activities in the data warehouse.
• Oversee data quality management to ensure integrity of data.
• Participate in new enterprise data initiatives and projects.
• Work with business stakeholders to enhance data services.
• Monitor and resolve operational incidents in data management.

Skills

Data management

Data analysis

Business requirements analysis

Data visualization

Analytical skills

Interpersonal skills

Agile methodologies

Education

Degree in relevant field

Tools

SQL

Tableau

MS SQL

Snowflake

PostgreSQL

Job description

A leading sovereign wealth fund in Singapore is looking for a VP, Data Business Analyst to manage end-to-end data operations and oversee data quality. You will engage with various stakeholders to improve investment data services and ensure operational excellence. The ideal candidate has at least 6 years of experience in data management and analytics, with strong analytical skills. The role offers a flexible work environment and encourages innovative approaches to data management.