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A leading venture capital firm in Kuala Lumpur is seeking a Data Analyst to support data-driven initiatives. You will work with internal teams to analyze data for investment decisions and contribute to data product strategies. The ideal candidate has 2-4 years of experience, strong SQL skills, and proficiency in Python. This role offers competitive compensation and the chance to work with advanced technologies.
Data Analyst - Kuala Lumpur
January Capital is an established venture capital manager headquartered in Singapore. At January Capital, we seek to invest in technology businesses that will power growth in the Asia-Pacific region over the coming decades. We're inspired by individuals who dedicate themselves to solving some of the region's biggest challenges and who are willing to challenge the status quo. Today, we are proud to have partnered with more than 40 exceptional companies, including Tazapay, Great Question, Skedulo, GO1, Akulaku, Shopback, Marqo and aCommerce. We manage more than $450 million of assets on behalf of our investors, comprised of leading institutions, foundations, family offices, and individuals.
Data is at the core of everything we do at January Capital. Since inception, we have leveraged proprietary datasets and technology tools to engage the region's most promising founding teams at the earliest stage. As our ambitions continue to grow, we are expanding our capabilities in data-driven and product-led innovation. As a Data Analyst based in Kuala Lumpur, you will play a key role in supporting our ongoing data and analytics efforts. You'll work closely with the investment, product, and engineering teams to help translate raw data into actionable insights and contribute to the design and execution of our data product roadmap. This is an excellent opportunity to join a fast-moving, high-impact VC firm and directly contribute to our technology strategy in the private markets ecosystem. The ideal candidate for this role has some technical capacity, is comfortable with large & obscure data sets and has a passion to utilise various ML techniques to unearth the most critical insights to internal stakeholders.