Titan aims to democratize wealth management by providing a human wealth advisor in every pocket, leveraging AI and frontier technologies to make wealth management accessible to everyone, not just the ultra-wealthy. The Data Analyst role is crucial for transforming raw data into actionable insights to guide business strategy, measure progress, and uncover opportunities, thereby supporting this mission.
Requirements
- 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).
- Experience analyzing and visualizing finance and accounting data preferred.
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 NoSQL data sources, ensuring smooth integration with other data platforms.
- Build, automate, and monitor data pipelines using tools like Fivetran, Hightouch, Segment, and Stitch.
- Create and maintain dashboards in tools such as Omni, Mode, 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.
Other
- Must come from a startup, fintech, or similarly fast-paced, high-growth environment.
- 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.
- Skilled at working with cross-functional teams to identify business opportunities and deliver measurable impact.
- Strong communication and data storytelling skills — able to make complex analyses clear and actionable.
