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Spade

Real-time transaction enrichment API for payments

Product Performance Analyst

Data AnalysisConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • 3–5 years of experience in an analytical role with meaningful exposure to data quality, product analytics, or performance monitoring.
  • Strong SQL skills, including complex joins, aggregations, common table expressions, and window functions to analyze large datasets.
  • Working proficiency in Python for large data manipulation, metric development, and scripts that automate recurring analytical tasks.
  • Experience building and maintaining business intelligence dashboards and automated monitoring or alerting using tools such as Hex, Looker, Tableau, Metabase, or similar platforms.
  • Strong analytical instincts and demonstrated experience finding patterns in messy data.
  • A process mindset with experience improving workflows rather than relying solely on one-off fixes.
  • Strong communication and collaboration skills, including communicating effectively with technical and non-technical stakeholders.
  • An AI-forward approach to work, using tools such as coding assistants and large language models to work more effectively.
  • Must be based in New York City and able to work from the Flatiron office at least two days per week.

Responsibilities

  • Assess product performance across Spade’s enrichment products by analyzing data quality, accuracy, match rates, and other key performance metrics.
  • Investigate anomalies and patterns across large, complex datasets, and drive improvements to the core product and data.
  • Define, build, and maintain dashboards, monitoring, and automated alerts that help teams identify issues before they impact customers.
  • Identify opportunities to improve quality assurance processes and operational workflows, partnering with internal teams to automate manual work.
  • Contribute to and improve quality standards by creating and improving runbooks, documentation, processes, and workflows as Spade’s products and transaction volume grow.
  • Partner cross-functionally with Product, Engineering, AI/ML Data Science, and other teams to translate performance insights into improvements across Spade’s product roadmap.

Desired Qualifications

  • Experience with Databricks, PySpark, dbt, or similar data tooling.
  • Experience in an early- or growth-stage environment.
  • Strong Excel or Google Sheets skills.
  • Experience working with fintech, payments, card networks, ACH, transaction data, or merchant data enrichment.

About the Company

Spade

Real-time transaction enrichment API for payments

Spade provides real-time transaction enrichment via an API that maps raw card transaction data to verified merchant identities, including granular category and geolocation details. The process starts when a client (such as a card issuer, neobank, or fraud platform) sends transaction data to Spade’s API; the system then matches the data to a real merchant identity, enriches it with additional attributes, and returns the enhanced transaction record to the client’s platform in under 50 milliseconds, enabling faster and more informed payment decisions during authorization. Spade serves fintechs and card ecosystems (examples include Ramp, Sardine, Unit, and Mercury) and differentiates itself through speed, real-time accuracy, and a security-conscious approach (SOC 2 certified and does not handle PII). The company's goal is to help clients improve authorization rates, strengthen fraud detection, and enable more capable card products by providing high-quality merchant data.

Company size
11-50
Company stage
Series B
Total funding
$62.4M
Headquarters
New York City, New York
Founded
2020

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