Data Analytics Manager

Trusting Social is an AI Fintech pioneer that's revolutionizing credit access in emerging markets. Our mission is "Advancing AI to Meet the Financial Needs of Everyday Consumers with Empathy." We've assessed over 1 billion consumers across four countries, and we're on a mission to provide 100 million credit lines using the power of AI and Big Data.

Our Data Analytics team is a powerhouse that enables data-driven growth across the organization. We are now seeking a highly driven Analytics Manager - AGI to lead this team into a new era of possibility.

What You'll Do

• Partner closely with AGI business and P&L leaders to frame strategic questions, design high-impact analytical approaches, and translate insights into decisions that drive measurable outcomes.
• Lead the development of scalable, intelligent analytics products that leverage AI/ML, LLMs, and emerging technologies to enhance decision-making and operational efficiency.
• Act as a champion of insight-driven culture — embedding analytics into the core of business workflows and driving the adoption of data tools across teams.
• Cultivate a high-performance team by fostering a culture of ownership, experimentation, and continuous learning. Set bold goals and coach your team to exceed them.
• Stay ahead of the curve — continuously scanning the horizon for new datasets, tools, and techniques that can unlock deeper impact.

What We're Looking For

• A strong sense of ownership — you lead initiatives end to end and take pride in delivering results, not just reports.
• A passion for insight over information — you love asking the right questions and using data to influence meaningful business outcomes.
• A mindset of audacity — you see constraints as creative opportunities and dare to tackle the impossible.
• Deep mindfulness — you’re intentional in your approach, considerate in how data is used, and driven by impact, not vanity metrics.
• Proven experience leading advanced analytics projects, preferably in fintech, banking, or digital consumer sectors.
• A strong track record in applying AI tools, LLMs, and AI agents to boost team productivity, build smarter workflows, or enhance analytics capabilities.
• Fluency in SQL and data visualization; familiarity with Python, ML frameworks, or AI agent stacks is a big plus.

What We Offer