As a Senior Data Analyst, you will own data models and ensure data integrity while enabling operations and product teams to make data-driven decisions through reports and analytics.
About Us
Move money. Make money. Finix is a full-stack acquirer processor, empowering businesses of all sizes with flexible, modern payment solutions. Processing billions of dollars annually, Finix enables SaaS, marketplace, and e-commerce platforms to accept payments, manage payouts, and onboard merchants seamlessly. With our no-code, low-code, and developer-friendly tools, businesses can get up and running in hours—not months.
Finix has raised over $175M, including a $75M Series C led by Acrew Capital, with participation from Lightspeed Venture Partners, Leap Global, American Express Ventures, Bain Capital Ventures, Homebrew, Inspired Capital, Sequoia Capital, Visa, and others.
About the Role:
Finix’s data cluster is the source of truth for reporting, operational metrics, customer-facing reports, billing, actionable insights, and a host of business-critical KPIs. As a Data Analyst in the Data Engineering team, you will own the data models, data dictionaries, and the data integrity of this cluster. You are critical in enabling our customers to optimize their operations, spot hidden issues, and gain insight through the reports, analytics, and dashboards you will manage and own. Our operations teams will depend on you to find, organize and supply the right data allowing them to run Finix. Our product team will depend on you to serve up just the right metrics, insights and compelling visuals to our customers helping them make key business decisions. Our engineering team will depend on you to advise them when building new ETL flows, data imports and schemas for your needs.
You will
- Enable our operations team to make data-driven decisions based on timely, consistent, complete, and correct data, reports, and analytics
- Work closely with engineering team members to build reporting and analytics infrastructure, solving our and our customer’s analytics needs
- Delight our customers by providing leading reporting and analytics capabilities supporting their operations and accounting teams
- Become a subject matter expert in all things data, ETL, operations intelligence, and financial insights
- Design, build and maintain all critical operations and finance reports and dashboards utilized by Finix and our customers
You are
- Detail-oriented, with a healthy dose of mistrust, driving you to investigate even the slightest data discrepancy
- Interested to understand the underlying business needs and objectives underpinning each request, report, and analysis
- Collaborative, cross-functional, and communicative. You make data speak.
- Thrive in a fast-paced environment around common goals and priorities but able to self-direct and problem solve with others to make progress
You have
- 6+ years of experience in a Business Intelligence Engineering, Data Engineering, Data Analyst, and/or Data Science role
- Expert knowledge of SQL, proficient in Python, capable with BI tools (i.e. Looker, Sisense, Tableau)
- B.A in mathematics, economics, statistics, physics, or a related data field
- Prior experience with writing and debugging data pipelines in code (AWS Glue/Apache Airflow/Spark etc)
Top Skills
Apache Airflow
Aws Glue
Looker
Python
Sisense
Spark
SQL
Tableau
Finix San Francisco, California, USA Office
71 Stevenson Street, San Francisco, CA, United States, 94105
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