[Hiring] Revenue Operations Analyst @Bizzabo

Role Description

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.

Requirements

• 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.

Qualifications

• 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.
• 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.