Data Quality Insights Analyst (SQL + Python) — Banking

PVH (Tommy Hilfiger/Calvin Klein); Singapore; On-site; SGD 45,000 - 75,000; Full time

Job summary

PVH (Tommy Hilfiger/Calvin Klein) in Singapore is seeking a Data Management - Data Quality professional to lead data quality checks, profiling, and analytics across data platforms. You will gather business requirements, perform data analysis, build dashboards, and collaborate with business and technology stakeholders to ensure accurate data production.

The role requires 1–3 years of experience, strong SQL and Python skills, and familiarity with data warehousing concepts.

Qualifications

• Degree in Business Computing or Computer Science or related discipline.
• 1–3 years of relevant working experience.
• Strong knowledge of SQL and Python.
• Familiar with banking products (industry context).
• Proficient in MS Excel, Word, PowerPoint.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration with users.

Responsibilities

• Gathering and documenting business requirements & functional specifications on data related initiatives.
• Perform data investigation and data analysis to support bank wide user queries.
• Perform data profiling and gap analysis, source to target mappings, data issue capturing, resolution and escalation.
• Provide end-to-end project delivery support including UAT and rollout assistance.
• Construct medium to complex SQL queries for data quality checks and reconciliation.
• Provide support to users' requests.
• Build and manage dashboards for monitoring and analysis.
• Documentation and administrative support for project implementation.

Skills

SQL

Python

Data quality

Data analysis

Requirements gathering

Stakeholder communication

Analytical thinking

Education

Degree in Business Computing or Computer Science

Tools

SQL

Python

QlikSense

HUE

Hadoop

Job description

PVH (Tommy Hilfiger/Calvin Klein) in Singapore is seeking a Data Management - Data Quality professional to lead data quality checks, profiling, and analytics across data platforms. You will gather business requirements, perform data analysis, build dashboards, and collaborate with business and technology stakeholders to ensure accurate data production.

The role requires 1–3 years of experience, strong SQL and Python skills, and familiarity with data warehousing concepts.