Patent Analytics Specialist: Insight-Driven IP Strategy

IPOS INTERNATIONAL PTE. LTD.; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

IPOS International in Singapore seeks a Patent Analyst to join our analytics team, delivering patent data insights and strategic recommendations to clients.

You will work with small teams to scope problems, analyse data from diverse sources, and present results with clear visualisations.

A degree in science or engineering and strong analytical skills are essential, with experience in data tools preferred.

Qualifications

• Degree in Science or Engineering.
• Strong analytical thinking with problem-solving rigour.
• Proficient in data visualisation using Excel, Power BI, Tableau, or R/Python.
• Knowledge of IP/patents or experience in technology management is advantageous.
• Experience in consulting, research analysis, or foresight studies is a plus.

Responsibilities

• Engage clients to understand needs and shape project scopes.
• Identify, gather, and synthesise patent data from diverse sources.
• Formulate hypotheses using quantitative and qualitative methods.
• Translate findings into actionable recommendations with clear visuals and reports.
• Collaborate with client teams to validate insights and co-develop strategies.
• Contribute to improving internal methodologies and visualisation tools.
• Stay updated on IP, science, and technology developments.
• Support knowledge-sharing and capability building in patent analytics.
• Assist in data collection and analysis guidelines to ensure robust workflows.
• Assist in proposal writing or outreach as needed.

Skills

Analytical thinking

Problem solving

Communication

Client engagement

Education

Science or Engineering degree

Tools

R

Python

Power BI

Tableau

Excel

Job description

IPOS International in Singapore seeks a Patent Analyst to join our analytics team, delivering patent data insights and strategic recommendations to clients.

You will work with small teams to scope problems, analyse data from diverse sources, and present results with clear visualisations.

A degree in science or engineering and strong analytical skills are essential, with experience in data tools preferred.