Senior Product Analyst (Remote)

Syfe

Syfe is a digital investment platform committed to empowering individuals to grow their wealth through innovative solutions across investment portfolios, cash management, and brokerage services. The team at Syfe combines financial expertise with technology prowess, offering equity to all employees. Headquartered in Singapore, Syfe is trusted by over 100,000 investors and operates under regulations in Singapore, Hong Kong, and Australia, having raised US$79 million from top investors.

In this role you can expect to have the responsibilities:

• Manage product analytics comprehensively, from KPI definition to insight delivery.
• Carry out in-depth analyses on user behavior and conversion factors.
• Create data-driven recommendations to enhance product experiences.
• Design and evaluate A/B tests with statistical precision.
• Collaborate with product managers and engineers to establish tracking requirements.
• Develop and automate dashboards and analytics tools for stakeholders.
• Provide integrated insights on customer journeys through cross-functional collaboration.
• Promote data best practices and continuous learning.
• Mentor junior analysts and support analytics scalability.

This role comes with the following benefits:

• Impact-driven role in a data-first environment.
• Exposure to top-tier product and engineering leaders.
• Opportunities for growth in analytics and leadership.
• Involvement in a fast-paced financial services environment.
• Annual learning allowance for courses and books.
• Home office setup allowance.
• Latest M1 Macbook Pro with necessary hardware and software.
• Financial education to manage personal money effectively.

This role requires you to have:

• 5-8+ years in product analytics or data science.
• Strong SQL proficiency for complex queries.
• Experience with B2C digital products in regulated industries.
• Expertise in data visualization tools like Looker or Tableau.
• Knowledge of A/B testing and experimental design.
• Capabilities in statistical analysis and causal inference.
• Experience in customer segmentation and funnel optimization.
• Ability to translate data into actionable insights.
• Strong communication skills to influence strategies.

You would benefit from having:

• Familiarity with big data tools like Snowflake or BigQuery.
• Knowledge of Python or R is advantageous.