• Manage recurring reporting for forecast, pipeline, funnel metrics, lead flow, and revenue performance. • Support segmentation, account prioritization, and territory planning. • Own RevOps initiatives end-to-end—from scoping and planning through execution and measurement. • Lead and coordinate cross-functional projects with clear milestones, owners, and timelines. • Create and maintain SOPs, process documentation, and rules of engagement to codify best practices and enable the team. • Partner with Sales, Marketing, Enablement, Finance, and Customer Success to drive GTM execution. • Perform Salesforce administrative duties including account creation, territory changes, and lead conversion. • Support M&A activity from a data operations perspective by assisting in data mapping/load needs

• Architecting, building, and scaling OneStream’s end-to-end revenue operating system. • Design and execution of core mechanisms that drive predictable revenue growth. • Own territory design, pipeline governance, forecasting, deal desk operations, revenue analytics, systems architecture, and GTM enablement. • Operate as a transformational builder in high-growth, multi-product SaaS environment. • Partner with executive leadership to drive alignment across the full customer lifecycle. • Shape the next phase of GTM Evolution and modernize pricing, packaging, and commercial frameworks. • Establish rigorous forecasting discipline and improve predictability across the revenue organization. • Design and implement scalable coverage, territory, and quota models. • Lead transformation initiatives tied to GTM model evolution and operating cadence redesign.

Bizzabo, a leader in event technology, is looking for a strategic and highly analytical Revenue Operations Analyst in Ukraine to join our dynamic Revenue Operations Team. In this role, you will serve as a critical bridge between raw data and executive decision-making. You will be responsible for defining the analytical roadmap for our different GTM departments, ensuring that data is not just reported, but used as a competitive advantage to drive growth and efficiency. We recognize that the best Revenue Operations talent often comes from diverse analytical paths. You are likely a strong match if you currently work in one of the following roles: - Business Data Analyst: You are an expert at using complex SQL queries to uncover “The Why” behind the numbers, translating disparate datasets into analytical recommendations for leadership that will influence revenue decisions. - Sales/Marketing Operations Analyst: You combine technical SQL mastery with deep CRM data knowledge to perform advanced analytics that optimize the B2B sales funnel and revenue predictability. - Commercial BI Analyst: You are a SQL specialist who doesn’t just build “reports,” but architects sophisticated data models and dashboards to perform deep analytics on revenue and market trends. Note on Fit: This is a Commercial Data & Strategy role. It is a great fit for those who love business strategy and deep analytics. It is not a fit for those focused on the SDLC, system analysis for software development, or writing technical requirements for engineering teams. Bizzabo’s Event Experience Operating System is a modern, intuitive platform used by the world’s leading organizations to deliver immersive experiences and events at scale. Named a Leader in the Gartner® Magic Quadrant™ and Forrester Wave™ for event technology, enterprises rely on Bizzabo to manage their entire event portfolio, regardless of format or size. Bizzabo is recognized by Newsweek as a 2024 Global Most Loved Workplace and as a 2024 Top Most Loved Workplaces® for LGBTQ+ employees. Bizzabo was founded in 2011 by Boaz Katz, Alon Alroy, and Eran Ben-Shushan and is headquartered in New York and Tel Aviv. Requirements What You’ll Be Doing - Act as a dedicated strategic partner to GTM leadership (Sales, Marketing, and Customer Success) to provide the analytical support and insights needed to inform revenue decisions. - Identify growth opportunities by analyzing CRM data to uncover actionable insights and resolve operational bottlenecks through end-to-end analytical project leadership. - Encompass the full data lifecycle, from gathering requirements and designing complex data models with optimized SQL to architecting a scalable BI ecosystem in Looker that replaces manual reporting with sophisticated automation. - Go beyond descriptive reporting and leverage modern AI-powered tools to accelerate your workflow. - Uncover the underlying drivers of business performance and translate the data into clear narratives that inform decisions. - Provide proactive insights and strategic recommendations based on key performance indicators. - Continuously audit data quality and collection processes within the CRM to ensure a high-integrity, data-driven environment. Required Experience & Skills - Professional & Educational Background: 3+ years of experience as a Business/Data Analyst (preferably within a global SaaS or high-growth tech company) supported by a degree in Industrial Engineering, Statistics, Economics, or a related quantitative field. - Technical Mastery: - SQL Expert: Deep experience writing complex, optimized queries and working with modern data warehouses (e.g., Snowflake, BigQuery). - BI Power User: Expert proficiency in Looker (LookML experience is a significant plus), Tableau, or similar enterprise BI tools. - Data Manipulation: Advanced Excel skills for financial modeling and ad-hoc analysis. - Business Acumen: Strong understanding of the SaaS business model and B2B sales funnels. - Analytical Rigor: Proven ability to synthesize large, disparate datasets into clear, actionable business narratives. - Communication: Fluent English with exceptional verbal and written communication skills. You must be able to explain technical concepts to non-technical business leaders. - Cross-team collaboration: Strong communication skills and the ability to collaborate effectively with sales leaders and cross-functional teams - Mindset: Highly independent, self-motivated, and excellent at multitasking to ensure management of multiple high-priority projects in a fast-paced environment while maintaining swift execution on daily tasks. Preferred Qualifications - Experience with AI-integrated analytics platforms or building automated workflows using AI agents. - Familiarity with Salesforce, HubSpot and PlanHat data structures. - Experience in fast-paced, SaaS, or startup environments. Community Details and Perks null

• Own and optimize revenue operations across the full customer lifecycle, from lead generation and sales through onboarding, customer success, and renewals, aligning systems, data, and workflows for scalability and efficiency. • Lead delivery of data for revenue forecasting, reporting, and performance analytics, delivering clear visibility into pipeline health, bookings, expansion, and retention while equipping leadership with actionable insights for decision-making. • Design and scale cross-functional operational infrastructure across Sales, Marketing, Customer Operations, Customer Success, Support, and Order Management, ensuring seamless processes, system integrations, and data flow across teams. • Serve as a shared services partner to all commercial and customer-facing teams driving operational excellence across deal desk, quote-to-cash, and customer lifecycle processes, identifying automation opportunities and leveraging data and AI-driven insights to improve deal velocity, expansion opportunities, operational efficiency, and overall commercial performance. • Evaluate, implement, and manage AI-powered revenue tools across the GTM and customer stack, including conversational intelligence (e.g., Gong), AI forecasting (e.g., Clari, SFDC Advanced Forecasting), prospecting/enrichment automation (e.g., UserGems, ZoomInfo) to improve deal execution and customer health visibility. • Build AI-driven workflow automations that reduce manual overhead and improve operational discipline across commercial and customer teams (e.g., lead routing, pipeline hygiene, renewal risk signals, escalation triggers, and forecast rollups). • Own GTM and customer data intelligence, integrating intent data, enrichment, product usage signals, and AI-scored insights to prioritize pipeline, expansion, and retention opportunities. • Leverage AI copilots and agents to enhance analysis, surfacing patterns in pipeline performance, churn risk, and expansion signals that inform strategic decision-making. • Drive AI adoption across Sales, Customer Success, Order Management, and Support, developing playbooks, enablement, and operating frameworks to embed AI in workflows.