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Mid-level generalist data role at a high-profile startup and metro location, producing high candidate competition.
Requires finance and payments domain knowledge plus analytics skills, limiting cross-industry transferability.
Explicit 3+ years plus Python and finance/payments preference enforces moderate shortlisting strictness.
Build and maintain Finance and Operations dashboards and reporting covering revenue, expenses, margins, cash flows, payments, and key financial metrics.
Develop automated data pipelines integrating financial, operational, and business systems to support financial decision-making and reporting reliability.
Partner with Payment Operations to develop analytics, automate reconciliations, controls, and improve payment workflows and exception management.
3–6+ years of experience in data analytics, financial analytics, data engineering, or related field.
Experience with Python or another analytical programming language.
Availability during core U.S. business hours and collaboration with San Francisco–based team.
Work Experience Required: 3–6+ years in relevant analytics or data roles.
Strong background in building scalable dashboards and automated reporting for Finance and Operations metrics.
Experience partnering closely with Finance and Payment Operations teams, especially in transaction-heavy or high-volume payment environments.
Skilled in SQL, modern data warehouse technologies (Snowflake, BigQuery, Databricks), and data quality/reconciliation best practices.