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Data Analyst - Job Opportunity at NESS PTE. LTD.

Singapore, Singapore
Full-time
Mid-level
Posted: May 17, 2025
On-site
SGD 72,000-120,000 per year

Key Responsibilities

Strategic data governance and master data management with enterprise-wide impact
Cross-functional leadership in reporting infrastructure development and optimization
Security and compliance management for sensitive data assets
Technical advisory and knowledge transfer for data systems and tools
Quality assurance leadership and data integrity maintenance
Stakeholder management and requirements translation
System architecture consultation and upgrade planning

Requirements

Education

Bachelor's degree in computer science or Electronics

Experience

Not explicitly stated but implied mid-level experience required

Required Skills

Data analysis Database management Data mining Data cleansing Report generation Stakeholder management Risk assessment Business requirements analysis High-level written and verbal communication Large-scale database management Metadata standards understanding
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Sauge AI Market Intelligence

Industry Trends

Growing demand for data governance expertise in Singapore's expanding fintech and digital services sector, particularly with increasing regulatory requirements around data management. Shift towards integrated data platforms requiring analysts with broad technical expertise beyond traditional analysis skills. Rising importance of data quality management and governance frameworks in enterprise environments, especially in Singapore's highly regulated business landscape.

Salary Evaluation

The offered salary range of SGD 72,000-120,000 annually is competitive for Singapore's data analyst market, particularly given the enterprise-level responsibilities. This range positions the role in the upper-middle tier of data analyst compensation in Singapore.

Role Significance

Based on the scope of responsibilities, this role likely operates within a data team of 5-8 members, potentially leading a subset of junior analysts.
This is a mid-to-senior level position with significant autonomous decision-making authority in data management and system architecture.

Key Projects

Enterprise data warehouse optimization and governance implementation Cross-departmental reporting system standardization Data quality framework development and deployment Stakeholder training and capability building programs

Success Factors

Strong technical foundation combined with business acumen for effective requirement translation Excellent stakeholder management skills and ability to communicate technical concepts to non-technical audiences Proactive problem-solving approach and ability to anticipate data management challenges Deep understanding of data governance principles and best practices

Market Demand

High demand with strong growth trajectory. Singapore's position as a regional tech hub and government initiatives supporting digital transformation are driving increased need for data professionals with comprehensive governance expertise.

Important Skills

Critical Skills

Advanced data management skills with focus on governance and quality assurance Stakeholder management and communication abilities for cross-functional effectiveness Technical expertise in database architecture and optimization

Beneficial Skills

Knowledge of Singapore's data protection regulations and compliance requirements Experience with data visualization tools and dashboard development Understanding of machine learning and advanced analytics concepts

Unique Aspects

Comprehensive involvement in full data lifecycle management from architecture to end-user training
Significant autonomy in technical decision-making and system optimization
Strong emphasis on stakeholder management and business partnership

Career Growth

2-3 years in role before progression, depending on project success and skill development

Potential Next Roles

Data Analytics Manager Data Governance Lead Business Intelligence Manager Data Architecture Specialist

Company Overview

NESS PTE. LTD.

NESS PTE. LTD. appears to be a technology-focused organization with significant data management needs, suggesting a mature digital infrastructure.

Mid-sized enterprise with established data practices requiring sophisticated management.
Singapore-based with potential regional operations given the scope of data management requirements.
Professional environment with emphasis on technical excellence and process rigor, typical of Singapore's enterprise technology sector.
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