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Product Analyst

Bizzabo

United States

Remote

USD 75,000 - 100,000

Full time

5 days ago
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Job summary

Bizzabo, a leading event technology company, seeks a Product Analyst to join their data team in the USA. In this role, you'll analyze product usage data, collaborate with various departments, and provide insights to drive strategic decisions. The position offers a dynamic environment where you can develop analytical skills and work with modern data tools.

Qualifications

  • 2-4 years of experience in a Product Analyst or similar data role within a SaaS company.
  • Advanced SQL proficiency and experience with large-scale data warehouses.
  • Fluent in English, strong organizational and multitasking abilities.

Responsibilities

  • Assist in collecting and analyzing data to identify product trends.
  • Analyze large data sets to provide actionable insights.
  • Work closely with internal departments such as R&D, Product, and Sales.

Skills

Analytical skills
Data analysis
SQL
Excel
BI tools
Data visualization
Attention to detail
Self-motivated

Education

BA/BSc in Industrial Engineering/Statistics/Economics

Tools

Looker
BigQuery
DBT

Job description

Bizzabo, a leader in event technology, is looking for a highly analytical and detail-oriented Product Analyst in Ukraine to join our dynamic, creative, and growing data team.

As a Product Analyst, you will have the opportunity to develop your analytical skills, learn industry-specific knowledge, and gain hands-on experience in a dynamic tech environment. You will work closely with our go-to-product and go-to-market teams to support the company's strategic objectives by providing data-driven insights and recommendations based on our product usage.

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:

  • Assist in collecting and analyzing data to identify product trends and opportunities.
  • Analyze large data sets and provide useful and actionable insights and recommendations.
  • Work closely with internal departments (R&D, Product, Sales, Marketing, Customer Solutions & Services, and Customer Success)
  • Work with our Data Engineering team on data ingestions (ETLs) using DBT, Hevo, Looker, BigQuery, and more.
  • Initiate proactive as well as reactive data analysis.
  • Maintain and optimize our data tables and queries.

Required experience:

  • BA/BSc. in Industrial Eng/Statistics/Economics or other quantitative fields.
  • 2-4 years of experience in a Product Analyst or similar data role within a SaaS company.
  • Advanced SQL proficiency, demonstrating experience with performant and cost-efficient query writing for large-scale data warehouses (e.g., Google BigQuery). Ability to leverage advanced Excel functionalities for data analysis and reporting.
  • Experience working with BI tools (Looker - preferred/Tableau/similar).
  • AI-First mindset
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to details and accuracy.
  • Passion about data and the ability to understand and transform it into insights.
  • Proven skill in creating clear and effective data visualizations to communicate findings.
  • Ability to multitask and handle various priorities in a high-paced environment.
  • Excellent organizational abilities.
  • Fluent in English (both verbal and written).
  • Autodidact, independent, and self-motivated.

YOUR JOURNEY

️ Prescreen with recruiter ---> ️Cultural Fit Interview --->️ Assignment --->️ Professional Interview ---> ️ Reference Check ---> ️ Offer


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