Senior RevOps Analyst (Marketing Operations)

Censys
Remote (EST)Posted 19 March 2026

Job 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. Location: Remote (in Eastern time zone) We’re looking for a data-driven and detail-oriented Senior Revenue Operations Analyst to join our growing RevOps team. This role will focus heavily on marketing operations , supporting the full funnel from lead generation to pipeline reporting. You’ll help ensure our marketing systems, data, and processes work seamlessly to drive efficient growth What you’ll do: Own marketing data operations : support campaign operations by managing lead list imports, workflow creation, prospect segmentation, and database hygiene across HubSpot and Salesforce. Campaign reporting : build and maintain dashboards to track campaign performance, lead conversion, and pipeline influence. Tech stack management : own and administer marketing and sales tools (HubSpot, Salesforce, and others), ensuring clean integrations and reliable data flow. Ad hoc analysis : run data pulls and generate reports to support marketing, sales, and leadership decisions. Process improvement : identify opportunities to streamline and automate repetitive tasks in our marketing workflows. Cross-functional collaboration : partner with Marketing, Sales, and RevOps team members to align systems and reporting with business objectives. What you’ll bring: Bachelor’s degree in Marketing, Communications, Business, or a related field, or combined work experience Five (5) or more years experience in marketing operations, revenue operations, or a related analytical role. Experience as a HubSpot Admin Strong proficiency in Excel/Google Sheets for data manipulation and reporting. Familiarity with Google Analytics and/or other web analytics tools. Experience managing lead scoring models or marketing attribution frameworks. Comfortable working with marketing metrics such as MQLs, conversion rates, and campaign attribution. Excellent attention to detail and data accuracy. Curious, self-starting attitude; you love solving puzzles and finding better ways to do things. Extra we’d love to see! Experience managing lead scoring models or marketing attribution frameworks. Completed HubSpot Academy courses for administration For high cost of living areas (New York City), the expected salary range for this position is $125,000 USD - $166,000 USD, plus bonus eligibility and equity. For all other US locations, the expected salary range for this position is $102,000 USD - $136,000 USD, plus bonus eligibility and equity. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 83% and 100% of range. Please discuss your specific work location with your recruiter for more information. Censys offers a competitive benefits package to employees, including equity, health, dental vision coverage, retirement with company contribution, parental leave, mental health wellness benefits, flexible PTO, and a professional development stipend. Censys also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Censys’s compensation and benefits are subject to change and may be modified in the future. Ple ... (truncated, view full listing at source)
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