Associate Data Analyst

VORTEXA ASIA PTE. LTD.; Singapore; On-site; SGD 42,000 - 64,000; Full time

Job summary

Vortexa is seeking a Data Analyst to join our Data Analysis team in Singapore. This junior role is ideal for a recent graduate or those with up to two years of experience, working in a global team with London headquarters.

You will ensure the quality and integrity of our datasets, support data queries, and contribute to data quality initiatives while learning our internal tools. Collaboration with analysts and the R&D team will be daily, and you will be encouraged to propose improvements using

Qualifications

• Junior role inviting recent graduates or professionals with up to two years of experience.
• Analytical mindset and attention to detail are essential.
• Proficiency with Python and Excel, plus curiosity about data quality and tooling.

Responsibilities

• Ensure quality and integrity of Vortexa's proprietary datasets.
• Support internal and external data queries and client-facing validation requests.
• Learn and own internal data tools and processes to maintain data excellence.
• Collaborate with global analysts and the R&D team to identify and fix data quality issues.
• Propose systematic data solutions using Python, Excel, and Claude AI to enhance efficiency.

Skills

Data analysis

Python

Excel

Data quality

Tools

Claude AI

Job description

Vortexa is looking for a Data Analyst to join our Data Analysis team, based in our Singapore office. This is a junior role, ideal for a recent graduate with strong analytical instincts or a candidate with up to two years' experience.You will join a global team headquartered in London.

In this role, your core responsibilities will center on the quality and integrity of Vortexa's proprietary datasets. You will also support internal and external data queries, including client-facing validation requests routed through our support function, and contribute to data quality initiatives raised by the Analyst team or other teams. You will learn and take ownership of our internal tools and processes to help maintain data excellence on a day-to-day basis, and over time help to develop and refine those tools and processes.

You will work closely with experienced data and market analysts across our global team, collaborating on data quality initiatives and presenting your findings. You will also work in close collaboration with our R&D team,helping to identify patterns of systematic data errors that can be escalated for longer-term engineering fixes. You will be encouraged to propose more systematic solutions to problems that are currently being addressed manually,leveraging scripting skills in Python and/or Excel and leveraging AI tools such as Claude to enhance the efficiency and quality of your work.

You must be highly analytical, detail-oriented and be genuinely curious about data. Motivated to investigate and understand why something looks wrong,not just flagging it. You need to be a driven self-starter capable of working independently as well as collaboratively depending on the task at hand, and comfortable operating as part of a small local team embedded within a larger global organisation. Above all, you must be inquisitive, patient, and persistent when it comes to solving challenging data problems.