Founding Data Analyst
SyntheticFi · United States · 5 days ago
RemoteRemoteInformation Technology$90k–$120k/yrFull-time
About the role
Join SyntheticFi, a YC-backed company that provides low cost securities-backed lending for independent financial advisors. We are looking for a Founding Data Analyst to help build the data foundation that powers our hyper-growth.
Responsibilities
- Core data systems across Growth, Revenue, and Operations
- Help build and improve the reporting, CRM/HubSpot, and analytics infrastructure that supports day-to-day decision-making across the business.
- Operational analytics
- Partner directly with the founders to monitor operational processes, create and track SLAs across onboarding, support, and billing to keep a fast-scaling business clean.
- Workflow automation
- Partner with cross-functional teams to streamline manual processes, improve data quality, and support scalable workflows across billing, revenue operations, onboarding, and customer support.
- Reliable data pipelines with source-of-truth tables are documented, tested, and easy for teams to use; data quality issues are caught early through validation and monitoring
- Core company metrics are clearly defined and consistently tracked; teams trust key dashboards and use them daily for decisions
- Less manual reporting and fewer spreadsheet-based workflows
- Faster answers to business questions across the company
Requirements
- Bachelor's degree or above in a highly analytical field; examples include computer science, data science, statistics, applied mathematics, and other quantitative fields with exposure to programming.
- Strong SQL proficiency and experience with programming languages commonly used for data work, such as Python, R, Java, Scala, or similar.
- Strong Excel / Google Sheets skills and comfort working with financial data
- Strong problem-solving ability, exceptional attention to detail, and a willingness to dig into messy, real-world operational data
- Strong communication skills and the 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, with the expectation that candidates can ramp quickly on new tools and systems.
- 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.
Qualifications
- 1–3 years of professional experience in data, analytics, or systems roles.
Skills
- Amazon Web Services (AWS), Microsoft Azure, Java, Python, Scala, SQL, ETL
Benefits
- Base Salary: $90,000 – $120,000
- Bonus: Up to 10% of base salary
- Equity: 0.025% – 0.10% stock options (with meaningful long-term financial upside as the company continues to scale).
Pay
- $90K - $120K
Schedule
- US / Remote (US)
Contact
- Email: fei_h@syntheticfi.com