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SeniorFull-timeGoAI
Salary Range
$93,925 - $127,075 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a high-performing Revenue Operations Business Analyst to join our team and play a key role in managing our tech stack and lead enrichment solutions. This role involves close collaboration with sales, finance, and leadership teams to conduct analysis that drives decisions related to our sales technology and automation processes leveraging AI agents.
Key Responsibilities
- βSystem 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.
- βWorkflow Automation: Identify bottlenecks in the sales process and build automated solutions into existing or new workflows to increase GTM velocity.
- βAI Adoption: Lead the charge in implementing and driving the adoption of AI tools within our revenue teams to optimize performance and efficiency.
- βLead 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.
- βCross-Functional Projects: Lead projects and build consensus with stakeholders to make data-driven decisions on growth strategy, ROI analysis, and operational optimizations.
- βPerformance Metrics: Develop new metrics and dashboards to identify trends, capitalize on operational improvement opportunities, and prove the impact of our tech investments.
Requirements
- β3+ years of experience in revenue operations, business process roles, or strategic analytical roles at a high-growth company.
- βTech Stack Expertise: Proven experience managing or implementing GTM tools (e.g., ZoomInfo, LinkedIn Sales Navigator, or similar lead enrichment platforms).
- βAutomation Mindset: A proactive thinker looking to build processes and technical workflows that scale.
- βAnalytical Power: A passion for turning complex data sets into meaningful business insights with a focus on business impact.
- βTechnical Skills: Basic data architecture and process optimization experience required
- βCommunication: Strong written and verbal communication skills with the ability to interface with various stakeholders and leaders throughout the organization.
- βProblem Solving: Detail-oriented with the ability to problem-solve in both individual and group settings.
- βAcademic Background: Degree in Finance, Economics, Computer Science, or a similar quantitative discipline.
Benefits
- β Competitive salary
- β Flexible Vacation & Paid Time Off
- β Employer-matched 401(k) plan
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