Processing Data Analyst

Tabs; United States; Remote; USD 70,000 - 90,000; Part time

Benefits offered by this job

Competitive compensation and equity

Unlimited PTO

100% employer covered healthcare premium

Lunch provided via Sharebite

Parental leave up to 12 weeks

Tax free commuter and parking benefits

401k

Job summary

A modern finance technology company is seeking a detail-oriented Processing Data Analyst for a remote-only contract position. The ideal candidate will manage ticket queues and enhance automated data extraction workflows. Responsibilities include QA testing, maintaining metrics, and collaborating with teams to optimize processing accuracy and efficiency. A background in data operations with 3–5 years of experience is preferred. This opportunity allows for flexible hours of up to 40 per week, making it a great fit for motivated individuals.

Qualifications

• Experience in data operations, quality assurance, or related roles for 3–5 years.
• Familiarity with operational metrics and performance tracking.
• Previous experience in cross-functional operations or data-focused teams.

Responsibilities

• Assign processing work to individuals based on received information.
• Conduct QA on Human-In-The-Loop (HITL) processes.
• Identify operational inefficiencies and implement process improvements.

Skills

Detail-oriented

Strong communication

Proactive problem-solving

Tools

Google Sheets

SQL

BI tools (Looker, Omni)

Customer service ticketing systems (Monday.com, Pylon, Jira)

Job description

Tabs is the leading AI-native revenue platform for modern finance and accounting teams. Tabs agents automates the entire contract-to-cash lifecycle, including billing, collections, revenue recognition, and reporting, to help teams eliminate manual work and accelerate cash flow. High-growth companies like Cursor and Statsig rely on Tabs to generate invoices directly from contracts, reconcile payments in real time, and automate ASC 606 compliance. Founded in 2023, Tabs has raised over $91 million from Lightspeed Venture Partners, General Catalyst, and Primary. The team is headquartered in New York and brings deep expertise in finance and AI.

About The Role

We’re looking for a detail-oriented and analytical Processing Data Analyst to support and enhance the Human-In-The-Loop (HITL) workflows that are used to evaluate our automated extraction. In this role, you’ll ensure the accuracy, efficiency, and reliability of our extraction operations by managing internal ticket queues, maintaining performance metrics, and collaborating closely with our Operations Team. You will also learn about how artificial intelligence is applied at one of the fastest growing companies in financial technology.

Tabs Background

• Most contracts are extracted fully autonomously and we are consistently increasing the reach of the automated processes. To train this process further, Tabs works with contractors to manually process the contracts and compare the automated results to the human-generated ones.
• Complex contracts go through an automatic processing layer and then through a human checker to validate the results. The most complex contracts, however, are processed entirely by people.
• The people involved in contract processing are located around the world and work at different times to align with their time zones and the company’s needs.
• We are seeking a person to conduct quality assurance (QA) testing on a subset of these complex contracts so as to provide feedback to the processors and to provide reporting to the company about the accuracy of this process.

What You’ll Do

• Assign processing work to individuals when sufficient information has been received from internal stakeholders.
• Respond to inquiries from processors who have gotten stuck by looking at internal records about the document type or by escalating the request.
• Conduct QA on Human-In-The-Loop (HITL) processes to ensure data accuracy and consistency.
• Maintain and improve HITL accuracy metrics and reporting to key stakeholders and to the processors themselves.
• Collaborate closely with the Processing Team to relay updates, clarify requirements, and troubleshoot issues.
• Identify operational inefficiencies and help implement process improvements.
• Support cross-functional initiatives related to data quality and processing optimization.

Who You Are

• Highly detail-oriented, organized, and reliable.
• Strong communicator who can work seamlessly with technical and non-technical teams.
• Comfortable executing processes end-to-end and making data-driven recommendations.
• Proactive problem-solver who is energized by improving accuracy and efficiency.

Experience

• 3–5 years of experience in data operations, quality assurance, HITL workflows, or related roles.
• Experience working with customer service ticketing systems such as Monday.com, Pylon, Jira, or similar.
• Familiarity with operational metrics, performance tracking, and reporting.
• Previous experience working in a cross-functional operations or data-focused team.
• Experience with Google Sheets, SQL, or a BI tool like Looker or Omni is a plus.
• Experience in a startup or fast-moving environment is a plus.

This role is for a remote-only 1099 contractor in the United States. You will set your own hours (up to 40 per week) and complete work at your pace so as to accomplish the goals set forth with your manager. For security, we will provide you with a computer to be used for this work only.

Perks And Benefits (Full-time Employees)

• Competitive compensation and equity.
• Unlimited PTO.
• Up to 100% employer covered monthly healthcare premium (medical, dental, vision).
• Lunch provided via Sharebite, plus dinner for any later office days.
• Parental leave up to 12 weeks.
• Tax free commuter and parking benefits.
• Voluntary insurances (Life, Hospital, Critical Illness, Accident).
• Employee Assistance Program (Rightway).
• 401k.

Tabs is an equal opportunity employer. We welcome teammates of all identities and do not discriminate on the basis of race, ethnicity, religion, gender identity, sexual orientation, age, disability, veteran status, or any other protected characteristic. We’re committed to creating an environment where everyone can grow, contribute, and feel comfortable being themselves.