Business Systems Analyst
Censys
| Company | Censys |
| Category | Data & Analytics |
| Location | Remote |
| Remote | Remote |
| Employment | Not stated |
| Level | Entry |
| Salary | Not stated by the employer |
| Posted | 24 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
Company Background
Censys’ mission is to be the one place to understand everything on the internet. Frustrated by the lack of trustworthy Internet intelligence, we set out to create the industry’s most comprehensive, accurate, and up-to-date map of the Internet. Today, Censys delivers real-time Internet intelligence and actionable threat insights to global governments, over 50% of the Fortune 500, and leading threat intelligence providers worldwide. Censys is looking for a Business Systems Analyst to own and optimize our internal systems ecosystem—ensuring our tools are integrated, adopted, and driving real business value.
This role sits at the intersection of systems, operations, and emerging AI capabilities. You will evaluate how our tools work together across the company (Sales, Marketing, Product, People, Finance), eliminate redundancies, improve workflows, and unlock efficiency through better integrations and intelligent automation.
In this role, you will act as a systems optimizer and operator, constantly identifying opportunities to simplify, connect, and enhance how work gets done.
What You Will Do
Audit and continuously evaluate the company’s systems landscape to identify gaps, redundancies, and inefficiencies
Define and maintain a clear systems architecture, ensuring tools are purpose-built and not duplicative
Drive consolidation and rationalization of tools where appropriate
Optimize internal integrations and bidirectional capabilities of those integrations
Work with tool owners to improve data integrity, consistency, accessibility and reporting across platforms
Drive end-user adoption of key systems through training, documentation, and process improvements
Partner with stakeholders to ensure tools are configured to match real workflows, not vice versa
Monitor usage and identify opportunities to improve engagement and efficiency
Identify opportunities to leverage AI capabilities within existing tools (e.g., CRM, ATS, support systems, internal platforms)
Evaluate and pilot new AI-driven tools or features that improve productivity and decision-making
Partner with cross-functional teams to embed AI into day-to-day workflows in a practical, scalable way
Who You Are
7+ years of experience in business systems, operations, or IT roles
Strong experience with leading SaaS tools and systems ecosystems (e.g., Salesforce, HubSpot, Greenhouse, Rippling, Zendesk, etc.)
Proven track record of improving workflows, integrating systems, and driving tool adoption
Experience working with APIs, integrations, and automation tools (e.g., Zapier, Workato, Tray, or similar)
Familiarity with AI capabilities in modern SaaS tools and curiosity to explore new applications
Highly analytical and systems-oriented—able to see how pieces connect across the organization
Strong communicator who can translate between technical and non-technical stakeholders
Comfortable operating in a fast-paced, evolving environment with shifting priorities
Bias toward action—focused on solving problems, not just identifying them
What Success Looks Like
Systems are streamlined, integrated, and clearly owned
Redundant tools are eliminated and costs are optimized
Data flows seamlessly across systems with high integrity
Teams are actively using and benefiting from core tools
AI capabilities are thoughtfully embedded into workflows, driving measurable efficiency gains
For high cost of living areas in the US (San Francisco / Seattle / NYC), the expected salary range for this position is $134,000 - $154,000, plus bonus eligibility and equity. For all other locations in the US, the expected salary range for this position is $114,000 USD - $130,000 USD, plus bonus eligibility and equity.
For candidates being considered outside of the US, location specific market data will be evaluated and discussed during the interview process.
Job level and actual compensation will be d
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