The OpportunityAs a Product Performance Analyst, you'll help drive the quality and performance of Spade's enrichment products. Working directly with transaction data across card and ACH networks, you'll analyze product performance, investigate anomalies, and identify opportunities to improve accuracy and reliability at scale. You'll work closely with product, engineering, and AI/ML data scientists to turn those insights into meaningful improvements for our products and customers.
What will you be doing?- 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
What experience, skills, and qualifications are necessary?Must have:- 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
Nice to Have:- 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
Benefits at Spade:- Competitive Compensation. Data-driven salaries that reward performance and ownership.
- Meaningful Equity. Flexibility with early exercise and an extended post-termination options.
- Comprehensive Health Benefits. 100% paid medical, mental, dental, and vision premium option plus One Medical membership (for US-based employees).
- 401(k). Empowering you to invest in your future.
- Paid Parental Leave. 12 weeks of full pay for parents welcoming a new child into their home.
- Unlimited PTO. Take the time you need to unplug and unwind.
- Flexible In-Person Culture. NYC HQ (hybrid and dog-friendly) with remote opportunities for certain roles in US/Canada.
- Supporting you in and outside of work. Generous work from home stipend, company-paid lunches, Citibike Membership, and more.
Salary Range:- At Spade, we view total compensation as consisting of salary + equity + benefits. We recruit motivated and high performing talent, and work to compensate people in line with the value they bring to our team.
- We aim to pay fairly and competitively, and consider a number of factors in developing compensation offers. These factors include years and breadth of experience, interview performance, market dynamics, and internal equity.
- The anticipated base salary range for this role is listed above (in USD).
