Data Analyst

AVEPOINT SINGAPORE PTE. LTD.; Singapore; On-site; SGD 77,000 - 117,000; Full time

Job summary

A leading data solutions company in Singapore is seeking a data professional to implement and support robust data platforms. The ideal candidate will have a degree in a data-related field and strong knowledge in Python and SQL. Responsibilities include managing data quality and lifecycle, designing scalable data pipelines, and working collaboratively with stakeholders. This role offers a chance to grow in a dynamic environment focused on data integrity and innovation.

Qualifications

• 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.
• Ability to work independently and as part of a team.
• Strong documentation skills.

Responsibilities

• Implement and support data platforms using best-of-breed technology.
• Design and implement scalable data pipelines to support business demands.
• Conduct requirement workshops with stakeholders and translate them into data strategies.
• Manage operations and maintain SLAs.
• Conduct requirement workshops with stakeholders to develop data strategies.

Skills

Analytical skills

Communication skills

Problem-solving skills

Python

SQL

Problem-solving skills

Python

SQL

Education

Degree in a data-related discipline

Job description

Your responsibilities will include:

• 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.

OK, I’m interested… is this the job for me?

We look for people who value agility, passion and teamwork; those who can bring fresh ideas to the table and want the opportunity to learn, grow, and expand their careers..

Other qualities that you’ll need to be a fit for this role include:

• 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.