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SpadeSpade

Product Performance Analyst

Analyzes transaction enrichment performance, investigates data-quality anomalies, and builds dashboards and monitoring to improve product accuracy and reliability. Requires 3–5 years of analytical experience, strong SQL and Python, and experience with BI and automated alerting.

About the job

Responsibilities

  • Assess product performance across 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 BI dashboards, monitoring, and automated alerts to identify issues before they impact customers.
  • Identify opportunities to improve QA processes and operational workflows, partnering with internal teams to automate manual work.
  • Create and improve quality standards, runbooks, documentation, processes, and workflows as products and transaction volume grow.
  • Partner with Product, Engineering, AI/ML Data Science, and other teams to translate performance insights into product improvements.

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, CTEs, and window functions.
  • Working proficiency in Python for large-scale data manipulation, metric development, and automation scripts.
  • Experience building and maintaining BI dashboards and automated monitoring or alerting with tools such as Hex, Looker, Tableau, Metabase, or similar platforms.
  • Strong analytical instincts and experience identifying patterns in messy data.
  • Process-oriented approach with experience improving workflows.
  • Strong communication and collaboration skills with technical and non-technical stakeholders.
  • Ability to use coding assistants and LLMs to work effectively.

Nice to Have

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

Compensation and Benefits

  • Base salary range of $135,000–$155,000 USD.
  • Equity and benefits.
  • Comprehensive health benefits, including medical, mental, dental, and vision coverage options.
  • 401(k), paid parental leave, and unlimited PTO.
  • Work-from-home stipend, company-paid lunches, and Citi Bike membership.

Skills

SQL, Python, Bi Dashboards, Data Quality, Product Analytics, Performance Monitoring, Looker, Tableau, Metabase, Databricks, Pyspark, dbt, Excel, Google Sheets, LLMs

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