Operations Analyst

Justworks•New York, NY

4d•Hybrid

About The Position

Justworks is seeking an Operations Analyst to help transform how Operations works using data, AI, and automation. In this role, you’ll work side-by-side with Operations teams to identify and implement process improvements and automations that drive real impact and scale new ways of working, using available AI and automation tools. You’ll be hands-on with data, processes, and tools to identify opportunities and transform workflows that improve day-to-day operations, support our strategy, and improve the customer experience. You’re curious, move quickly, dive into the details, and follow problems through to resolution. You’re comfortable with data and focused on turning insights into action. You’re motivated by building better systems and seeing your work improve how teams operate and how customers are supported.

Requirements

3+ years of professional experience in operations, business operations, or related roles.
An effective communicator, having worked with both business and technical stakeholders.
An organized individual who demonstrates strong attention to detail & process-oriented mindset; process improvement experience preferred.
A self-starter with a bias for action and proven ability to deliver results.
Experience with SQL: Selecting, aggregation, filtering, and joins
Experience with AI tools: Prompting, troubleshooting, and applying AI tools to improve workflows. Agents a huge plus.

Nice To Haves

Hands-on experience with specific tools a plus: JIRA, Confluence, Excel, Tableau, workflow automation tools like Claude, Zapier and Gumloop.

Responsibilities

Define, build, and maintain queries and dashboards to track key performance indicators (KPIs) and proactively translate data into actionable insights for process improvement and strategic decision-making.
Partner with team members to analyze existing workflows, identify inefficiencies, and propose improvements.
Develop automations using available no/low-code and AI tools (e.g., Zapier, Claude) to reduce manual effort and streamline workflows.
Support team data and AI literacy by sharing best practices, tools, and learnings from analyses and automation work.
Perform other related responsibilities as needed based on department and/or organizational needs.