Sr. Revenue Operations Business Analyst

ZipRecruiter•Santa Monica, CA

1d•$110,000 - $142,500•Hybrid

About The Position

We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. Summary : The RevOps Technology & Automation team owns the systems, tech, and AI tools that help GTM teams generate revenue. Our mission is to maximize the effectiveness of ZipRecruiter’s go-to-market capabilities by bringing data-driven decision-making, strategy development, and operational optimizations to our teams. The Senior Revenue Operations Business Analyst will be key in enabling ZipRecruiter's sales, marketing, support, and leadership teams to achieve measurable ROI. This role involves close collaboration with these teams and IT to implement workflow automation and drive the adoption of AI technologies. The ideal candidate will have exceptional communication, technical skills, and knowledge of the sales pipeline processes. We are looking for a high-performing analyst to join our team and play a key role in managing our tech stack and lead enrichment solutions. You will work closely with sales, finance, and leadership teams to conduct analysis that drives decisions related to our sales technology and automation processes leveraging AI agents.

Requirements

3+ years of experience in revenue operations, business process roles, or strategic analytical roles at a high-growth company.
Tech Stack Expertise: Proven experience managing or implementing GTM tools (e.g., ZoomInfo, LinkedIn Sales Navigator, or similar lead enrichment platforms).
Automation Mindset: A proactive thinker looking to build processes and technical workflows that scale.
Analytical Power: A passion for turning complex data sets into meaningful business insights with a focus on business impact.
Technical Skills: Basic data architecture and process optimization experience required
Communication: Strong written and verbal communication skills with the ability to interface with various stakeholders and leaders throughout the organization.
Problem Solving: Detail-oriented with the ability to problem-solve in both individual and group settings.
Academic Background: Degree in Finance, Economics, Computer Science, or a similar quantitative discipline.

Nice To Haves

Experience implementing AI-driven tools for revenue or GTM teams and driving adoption across multiple stakeholders.
Familiarity with additional lead enrichment or AI platforms (e.g., Glean, ZoomInfo).
Advanced data visualization skills with tools like Tableau, Power BI, or Looker.
Experience leading cross-functional projects that optimize sales processes or improve pipeline quality.
Experience building metrics, dashboards, or reporting frameworks to measure ROI of tech and automation investments.

Responsibilities

System Ownership & ROI: Act as the primary administrator and subject matter expert for our GTM tech stack such as Glean, ZoomInfo, LinkedIn Sales Navigator, and Lightcast, ensuring these tools drive quantifiable ROI.
Workflow Automation: Identify bottlenecks in the sales process and build automated solutions into existing or new workflows to increase GTM velocity.
AI Adoption: Lead the charge in implementing and driving the adoption of AI tools within our revenue teams to optimize performance and efficiency.
Lead Enrichment & Pipeline Strategy: Manage and optimize lead enrichment processes and drive pipeline solutions to ensure our sales teams are working with high-quality, actionable data.
Cross-Functional Projects: Lead projects and build consensus with stakeholders to make data-driven decisions on growth strategy, ROI analysis, and operational optimizations.
Performance Metrics: Develop new metrics and dashboards to identify trends, capitalize on operational improvement opportunities, and prove the impact of our tech investments.