Data Analyst

MALTEM ASIA PTE. LTD.; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A financial services company in Singapore is seeking a Data Analyst to work on data platforms for Wealth Management. The ideal candidate has a degree in a related field, strong understanding of financial markets data, and proficiency in Python and SQL. Responsibilities include designing data solutions, managing operations, and translating business needs into data strategies. This role offers an opportunity to work in a dynamic environment with a focus on data quality and lifecycle management.

Qualifications

• Degree in Computer Science, Information Technology, Data Science, Finance, or a related field.
• Strong understanding of financial markets data.
• Strong understanding of how data is stored in a relational database.
• Knowledge of leading data management trends within the financial industry.
• Excellent analytical, communication, and problem-solving skills.
• Ability to work independently and in a team.
• Strong documentation skills.
• Keen understanding of Python and SQL is a must.
• Experience in providing support for Enterprise data products is a plus.

Responsibilities

• Work closely with data analysts and business users to support data platforms.
• Design and implement robust data solutions.
• Manage operations and maintain service level agreements.
• Perform data quality management and lifecycle activities.
• Conduct workshops and translate business requirements into data strategies.
• Design scalable data pipelines and services.
• Resolve operational incidents and advisory for users.
• Analyze systems operations data to identify trends for improvements.

Skills

Data analysis

Financial markets data understanding

Relational database knowledge

Data management best practices

Problem-solving skills

Python

SQL

Education

Degree in a data-related discipline

Job description

Maltem Asia is seeking a Data Analyst for a Wealth Management Client based in Singapore.

Responsibilities:

• Working closely with data analysts and business end-users to implement and support data platforms using best‑of‑breed technology and methodology
• Implement and design robust and scalable solutions to meet business needs and take operational considerations into account. Demonstrate technical expertise in the assigned areas
• Manage operations and maintain SLAs. Implement automation in data management. Collaborate with data engineering, architecture, and governance.
• Perform data quality, onboarding, registration, discoverability, access controls, and cataloging. Execute, maintain and manage the whole data lifecycle.
• Conduct requirement workshops with stakeholders, analyse and translate business and other requirements holistically into data strategies, plans, actions.
• Design and implement scalable data pipelines and data service modules with robustness in mind to support the growing demands from business users.
• Analyze and resolve day‑to‑day operational incidents and advisory to business users.
• Analyze systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency etc.) to identify actionable trends for continual improvements.

Skillset Requirements:

• Degree in a data‑related discipline such as Computer Science, Information Technology, Data Science, Finance, or a related field.
• Strong understanding of financial markets data.
• Strong understanding of how data is stored in a relational database.
• Knowledge of leading data management trends and practices within the financial industry, approaches to data quality and business‑technology issues related to data.
• Excellent analytical, communication, and problem‑solving skills.
• Ability to work independently and as part of a team.
• Strong documentation skills.
• Keen understanding of Python and SQL is a must.
• Experience in providing support for Enterprise data products is a plus.