Data Analyst (Banking) - Entry Level / Fresh Graduates Welcome

D L RESOURCES PTE LTD; 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

Data Management - Data Quality

Data Management - Data Quality is responsible for multiple aspects of data management and operations for the firm, including database administration and design, business intelligence and data architecture, data analytics, governance, and quality. Specializes in supporting improvement and performance activities by providing measurement, evaluation, and assessment services relating to data quality and data production. Provides solutions and advice in process evaluations, performance monitoring, and statistics, managing and executing data processing.

Job description

• Gathering and documenting business requirements & functional specifications on data related initiatives.


• Perform data investigation and data analysis to support Bank wide user\'s queries on EDAG.


• Perform data profiling and gap analysis, source to target mappings, data issue capturing, resolution and escalation.


• Provide end-to-end project delivery support, including requirements walkthrough, user acceptance testing, defect support, continuous validation and assisting with rollout activities.


• Able to construct medium to complex SQL queries for data quality checks, reconciliation and exception investigation.


• Provide support to Bank wide users\' requests.


• Build and manage dashboards for monitoring and analytical purposes.


• Documentation and Administrative support - coordination and assistance in the project implementation, system and process documentation, minutes taking etc.


• Foster strong working/collaborative relationships with the business & technology stakeholders.

Requirements

• Degree in Business Computing or Computer Science or related disciplines.


• At least 1 to 3 years of relevant working experience.


• Strong knowledge of SQL and Python .


• Familiar with banking products.


• Proficient in MS Excel, MSWord and MS PowerPoint.


• Possess good analytical skills and problem-solving skills.


• Soft skills, able to work independently with users on requirements gathering or issues investigation.


• Strong communication and interpersonal skills.


• Familiar with general data architecture concept, including data warehouse and big data technology is preferred.


• Knowledge on Hadoop and Discovery tools (e.g., Qliksense, HUE).


• Familiar with AI technology and have experience working on some AI tools.