Founding Data Analyst

Position Overview SyntheticFi, a YC-backed company, is growing at an extraordinary 20%+ MoM over the past year. We provide a product that our target customers (financial advisors) view as a true differentiator for their practice, helping them retain AUM and win new clients. With a proven product and strong demand, we are at an exciting inflection point. As we scale, maintaining clean, reliable data and scalable infrastructure is critical to sustaining this rocket‑ship growth. We’re hiring a Founding Data Analyst to join our Growth and Operations teams and build the data foundation that powers SyntheticFi’s hyper‑growth. This early‑stage, high‑impact role expects work on data wrangling, building pipelines, formulating and tracking business metrics, and optimizing operational workflows. You’ll work directly with our founders, Tony Yang and Joseph Wang, and collaborate across growth, revenue, and operations functions. Rather than owning a small slice of the business, you’ll gain broad exposure and take on increasing responsibility as you help build and improve the systems that keep the company running and scaling. What You’ll Work On Core data systems across Growth, Revenue, and Operations – Build and improve the reporting, CRM/HubSpot, and analytics infrastructure that supports decision‑making. Operational analytics – Monitor processes, create and track SLAs across onboarding, support, and billing. Workflow automation – Streamline manual processes, improve data quality, and support scalable workflows across billing, revenue operations, onboarding, and customer support. What Success Looks Like Reliable data pipelines with source‑of‑truth tables that are documented, tested, and easy for teams to use; data quality issues caught early through validation and monitoring. Core company metrics clearly defined and consistently tracked; dashboards trusted and used daily for decisions. Less manual reporting and fewer spreadsheet‑based workflows. Faster answers to business questions across the company. Hard Filters Bachelor’s degree in a highly analytical field (e.g., computer science, data science, statistics, applied mathematics) and 1–3 years of professional experience in data, analytics, or systems roles. Strong SQL proficiency and experience with programming languages used for data work (Python, R, Java, Scala, or similar). Strong Excel or Google Sheets skills and comfort working with financial data. Strong problem‑solving ability, exceptional attention to detail, and willingness to dig into messy operational data. Strong communication skills and ability to work cross‑functionally. Familiarity with modern data engineering tools such as dbt, Airflow, Fivetran, Snowflake, BigQuery, AWS, or Azure is a major plus; candidates should ramp quickly on new tools. Bonus Points Experience with ETL/ELT platforms and cloud data architectures. Exposure to cloud platforms (AWS or Azure). Strong debugging, triage, and problem‑solving skills across complex environments. Familiarity with automation tools (Zapier, Retool, etc.) and CRMs (HubSpot preferred). Experience in fintech, startups, or high‑growth environments. Compensation & Benefits Base Salary: $80,000 – $110,000 Bonus: Up to 10% of base salary Equity: 0.025% – 0.10% stock options (with meaningful long‑term financial upside as the company scales). Location & Work Authorization Candidate must be physically located in the United States. We will consider sponsoring visas for exceptional candidates based in the U.S. Preference for San Francisco Bay Area. #J-18808-Ljbffr Social Leverage