Job Description

Location:

Singapore

Eligibility:

Open only to Singapore Citizens

Overview

We are seeking a

Data Management Consultant

to support data management operations within our

data warehouse and data mart portfolio

. The ideal candidate will have hands-on experience in data analysis, reconciliation, and quality management, with strong problem-solving and logical thinking skills.

Key Responsibilities

Oversee and support

daily data management operations

for data warehouse and data mart projects. Perform

data analysis

, validation, and reconciliation to ensure data accuracy and consistency across systems. Execute and monitor

data quality checks

in accordance with established SLAs, ensuring timely resolution of issues. Manage

data issue tracking and troubleshooting

, coordinating with relevant teams to identify root causes and implement fixes. Write, optimize, and maintain

Oracle PL/SQL scripts

for data extraction, transformation, and validation tasks. Conduct

User Acceptance Testing (UAT)

to validate data workflows, system enhancements, and integration results. Manage

service-level agreements (SLAs)

and respond to

queries from end users

, ensuring timely support and resolution. Prepare and maintain

technical and functional documentation

, including specifications, process flows, and operational reports. Collaborate with stakeholders to understand business requirements and translate them into actionable data operations tasks. Apply

investment data domain knowledge

to ensure accurate interpretation, processing, and reporting of financial datasets. Continuously assess operational efficiency and propose improvements to enhance data integrity and performance.

Required Skills & Qualifications

Singapore Citizen

(mandatory). Bachelor's degree in

Computer Science, Information Technology

, or a related field.

Minimum 2 years of data management experience.

Proven experience in

data warehouse

or

data mart

operations. Strong background in

data analysis

,

data reconciliation

, and

quality management

within SLA timelines. Proficiency in

Oracle PL/SQL

development. Experience in

UAT execution

and coordination. Demonstrated ability to manage

data-related incidents

and provide

end-user query support

. Strong documentation and communication skills with attention to detail. Good understanding of

investment data domain concepts

. Excellent

problem-solving

,

analytical

, and

logical thinking

abilities.

Good to Have

Working knowledge of

Snowflake

. * Experience with

Denodo

.