# Product Performance Analyst

**Company:** [Spade](https://hotfix.jobs/companies/spade)
**Location:** New York, NY
**Role:** Data Analytics
**Salary:** $135k – $155k/yr
**Experience:** 3+ years
**Skills:** SQL, Python, Bi Dashboards, Data Quality, Product Analytics, Performance Monitoring, Looker, Tableau, Metabase, Databricks, Pyspark, dbt, Excel, Google Sheets, LLMs
**Posted:** 2026-08-26

> 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.

## Job Description

## 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.

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