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Business Analyst

Roles & Responsibilities

  • 3+ years of experience as a Business/Data Analyst in a global SaaS or high-growth tech company
  • Degree in Industrial Engineering, Statistics, Economics, or a related quantitative field
  • SQL expert with experience writing complex, optimized queries and working with data warehouses (e.g., Snowflake, BigQuery)
  • Proficiency with Looker (LookML a plus) or other enterprise BI tools such as Tableau

Requirements:

  • Act as a dedicated strategic partner to GTM leadership (Sales, Marketing, and Customer Success)
  • Identify growth opportunities and resolve operational bottlenecks through end-to-end analytical project leadership
  • Architect a scalable BI ecosystem in Looker with optimized SQL to replace manual reporting with automation
  • Provide proactive insights and strategic recommendations based on key performance indicators

Job description

Description

About the Role

Bizzabo, a leader in event technology, is looking for a strategic and highly analytical Business Analyst 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.


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).
  • Identify growth opportunities 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.
  • 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.
  • Mindset: Highly independent, self-motivated, and capable of managing multiple high-priority projects in a fast-paced environment.


Preferred Qualifications

  • Experience with AI-integrated analytics platforms or building automated workflows using AI agents.
  • Familiarity with Salesforce, HubSpot and PlanHat data structures.


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