Data Analyst

Description

About Titan

Despite decades of innovation in money, the most important consumer money domain remains largely untouched: wealth management. Legacy Wall Street institutions still dominate private wealth, gatekeeping their services behind extremely high minimums, janky user experiences, and layers of fees. They are, in our opinion, the "final boss" of consumer fintech.

Our belief: every American deserves an elite wealth team navigating their capital, delivered at the cost and speed only humans working in harmony with AI can unlock.

At heart, we're a small pack of hard-working rebels operating at the intersection of engineering craft and high-stakes financial precision. Every person here is a calibrated bet on what we're building next. Our mission is to rebuild what a wealth management firm means, from the ground up, brick by brick, leveraging technology across the entire stack, so that AI lets one wealth advisor deliver what used to take a team, serving clients a Wall Street team never could have reached.

We're backed by a16z and Sam Altman, and currently power over $1 billion in assets under management.

Responsibilities

• Design and maintain ETL workflows that move and transform data between multiple systems to power business intelligence dashboards.
• Work extensively with Redshift to model and optimize data structures for reporting and analytics.
• Translate and work with SQL and NoSQL data sources, ensuring smooth integration with other data platforms.
• Build, automate, and monitor data pipelines using tools like Mixpanel, Fivetran, and Stitch .
• Collaborate with business teams — including Finance, Product, and Operations — to identify data needs and transform business questions into analytical solutions.
• Support financial reporting and analytics by applying your understanding of accounting and finance-related concepts .
• Create and maintain dashboards in tools such as Omni and Mixpanel , ensuring teams have accurate and timely visibility into KPIs.
• Partner with engineering to ensure data consistency, documentation, and governance across systems.
• Advocate for and contribute to the development of a data-driven organizational culture .

Requirements

• Must come from a startup, fintech, or similarly fast-paced, high-growth environment.
• Strong proficiency in SQL , with a deep understanding of data modeling, query optimization, and performance tuning in Redshift .
• Experience designing and maintaining ETL workflows that connect multiple data sources and ensure data integrity.
• Comfortable working with NoSQL data and integrating it into analytics pipelines.
• Familiarity with AWS ecosystem services and best practices for data storage, transformation, and access.
• Scripting experience (e.g., Python, SQL scripts) and familiarity with version control (e.g., Git).
• Skilled at working with cross-functional teams to identify business opportunities and deliver measurable impact.
• Experience analyzing and visualizing finance and accounting data preferred.
• Strong communication and data storytelling skills — able to make complex analyses clear and actionable.

Benefits

• For the right person, this will be one of the most rewarding roles they ever have.
• Legacy-defining vision. Private wealth in every pocket isn't an incremental product. It’s not B2B automation. It’s a “before & after” moment in money.
• The time is now. LLMs just unlocked what was impossible five years ago: truly personalized wealth management for everyone.
• Outsized decision making. We're a small team by design. Every hire is precise, every role carries real weight, and your decisions disproportionately shape what we become.
• Built in person, in the trenches. We're a high-touch, high-tempo group that works side by side. You’ll see our founders working in the trenches with the team everyday.
• Ownership in every sense. Competitive cash and well-above-market equity. We believe in identifying only exceptional talent and compensating them generously.
• World-class backing. Investors who share the bold vision: a16z, General Catalyst, Accel, Y Combinator, Sam Altman, Paul Graham, and more.
• Role Overview
• The Data Analyst role sits at the heart of how we make decisions, measure progress, and uncover opportunity. Your mission is to transform raw data into clarity, building the systems, tools, and insights that guide strategy across the business.
• This isn’t just about dashboards or reports, it’s about architecting the flow of information that fuels every team, from Product to Finance. You’ll design and maintain the pipelines and models that power our analytics stack, ensuring our data is not only accurate and accessible, but deeply actionable.
• You’ll operate at the intersection of engineering precision and business intuition: comfortable writing complex SQL one moment, then distilling findings into a clear narrative for leadership the next. You’ll push the organization toward a truly data-driven culture, one where insights are timely, trusted, and tied to real impact.