Product Performance Analyst

Financial institutions process billions of transactions every day across cards, ACH, wires, and third party aggregators. But most of that data is difficult to use. Descriptions are inconsistent, merchant names don’t match, and categories vary by payment type.

Spade is a data and AI platform that turns messy transaction strings into structured, verified records — and gives teams the tools to act on it across authorization, attribution, analytics, and AI initiatives. Spade leads the market in terms of merchant coverage, matching accuracy, geolocation data, and speed of transaction enrichment. Customers such as, FIS, Bilt, Mercury, Stripe, alongside many other leaders in fintech and financial services, trust Spade's data to enable personalized rewards programs, accurate applied spending rules, precise analytics requests, and innovative AI-powered features.

Spade is a fast growing, Series B company backed by industry experts and top tier investors (including Oak HC/FT, a16z, Flourish Ventures, Y-Combinator, and Gradient Ventures). We’re a lean and execution-oriented hybrid team, passionate about building exceptional products for our growing customer base. We care deeply about diversity of background, experience, and opinion. We value empathy, curiosity, and passion, and strive to create an environment where individuals have autonomy and the ability to take ownership over their work.

As 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.

• 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

• 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

• Be a cultural founder. As an early employee, you’ll play a meaningful role in defining and building our culture.

• Get in on the ground floor. We’re a small but well-funded team – joining now comes with limited risk and unlimited upside.

• Build the next generation of financial infrastructure. Our products will power the next wave of innovation in fintech, helping our customers deliver better, more transparent products and services to the consumer.

• 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.

• 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).

Spade is an equal opportunity employer, committed to building a culture that is diverse, equitable, and inclusive. We believe that having people with different backgrounds, experiences, abilities, and perspectives not only helps us build the best products for our customers, but also helps us be the best version of ourselves.