Product Performance Analyst

Spade is a data and AI platform that transforms messy transaction data into structured, verified records for financial institutions and fintech companies. The Product Performance Analyst will analyze enrichment product performance, investigate anomalies, and identify opportunities to improve accuracy and reliability. The role will also build monitoring systems, improve quality processes, and partner with product, engineering, and AI/ML data science teams.

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 QA 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

Preferred

• Experience with Databricks, PySpark, dbt, or similar data tooling
• Experience in early / growth stage environment
• Strong Excel or Google Sheets skills
• Experience working with fintech, payments, card networks, ACH, transaction data, or merchant data enrichment
• Databricks experience
• PySpark experience
• dbt experience
• Excel skills
• Google Sheets skills
• Fintech experience
• Payments experience
• Card networks experience
• ACH experience
• Transaction data experience
• Merchant data enrichment experience
• Growth stage experience

Benefits

• Meaningful equity with flexibility for early exercise and an extended post-termination options exercise period
• 100% paid medical, mental, dental, and vision premium option plus One Medical membership for US-based employees
• 401(k)
• 12 weeks of full pay for parents welcoming a new child into their home
• Unlimited PTO
• Flexible in-person culture with a hybrid and dog-friendly NYC HQ
• Remote opportunities for certain roles in the US/Canada
• Generous work-from-home stipend
• Company-paid lunches
• Citibike membership

Company

• Transaction data enrichment platform for modern finance
• New York, New York, USA
• https://www.spade.com/
• Founded in 2021
• 11-50 employees

Qualifications

• 3–5 years of experience in an analytical role with meaningful exposure to data quality, product analytics, or performance monitoring
• Strong SQL skills, including experience working with complex joins, aggregations, CTEs, and window functions to analyze large datasets
• Working proficiency in Python for large data manipulation, metric development, writing scripts to automate recurring analytical tasks
• Experience building and maintaining BI 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 the ability to communicate effectively with technical and non-technical stakeholders
• An AI-forward approach to work, using tools such as coding assistants and LLMs to work more effectively
• Based in NYC with ability to work out of our Flatiron office at least 2 days/week
• Experience with Databricks, PySpark, dbt, or similar data tooling
• Experience in early / growth stage environment
• Strong Excel or Google Sheets skills
• Experience working with fintech, payments, card networks, ACH, transaction data, or merchant data enrichment

Required skills

• Automated monitoring and alerting, BI dashboards, Data analysis of large datasets, Data quality analysis, Databricks, Fintech and payments, Merchant data enrichment, Performance monitoring, Process improvement, Product analytics, PySpark, Python, SQL, Transaction data, dbt

Preferred skills

• Experience in early / growth stage environment, Strong Excel or Google Sheets skills

Experience

• 3-5 years