Data Operations Associate

Summary

Join Spade, a fast-growing Series A company, and become a cultural founder, playing a key role in shaping our company culture. We offer the opportunity to work on the ground floor of a well-funded team with limited risk and unlimited upside. You will contribute to building the next generation of financial infrastructure by improving data quality and performance for our customers. This role involves collaborating with various teams, suggesting process improvements, and creating comprehensive documentation. Spade is committed to diversity and inclusion, offering competitive compensation, equity, and comprehensive benefits.

Requirements

• 1–3 years of experience in an operations, support, or QA-related role
• Located on the East Coast (EST time zone)
• Analytical with strong problem-solving skills
• Proficient in Excel/Sheets
• Ability to follow SOPs and workflows consistently
• Comfortable with independent, repetitive work
• Curious and eager to improve processes

Responsibilities

• Improve data quality and performance for customers by participating in QA initiatives, spot-checking transactions, and monitoring recurring issues
• Suggest improvements to tools, automation, or processes to enhance accuracy and efficiency
• Collaborate with Data Science, Engineering, and Product Ops to escalate bugs and refine QA workflows
• Create and maintain clear documentation of QA findings, resolutions, and troubleshooting steps to support process improvement and training

Preferred Qualifications

• Experience with tools like Notion or Linear
• Familiarity with BI tools (Looker, Tableau, Hex, etc.)
• Basic SQL knowledge

Benefits

• Competitive compensation and equity package
• Full medical, dental, and vision benefits for US-based employees
• Life & short-term disability insurance
• Flexible PTO
• Early exercise program
• Extended post-termination exercise period
• 401K for retirement planning
• Hybrid team, with pet-friendly headquarters in NYC
• Paid parental leave
• Work from home stipend