Avi Segal
Finance Expert
Tel Aviv, Israel
Skills
Data Analysis
About
Avi Segal's skills align with Database Specialists (Information and Communication Technology). Avi also has skills associated with Communication, Marketing and Public Relations Managers (Communication, Marketing and Public Relations). Avi Segal has 17 years of work experience, with 15 years of management experience, including a mid-level position.
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Work Experience
Director of Data and Analytics
Joyned
January 2023 - Present
- a SaaS company that offers a social shopping plug-in for ecommerce websites, by enabling their users to shop online together Director of Data and Analytics - Leading the entire company's data initiative
Director of Data Analytics
Bizzabo
January 2018 - December 2023
- - Leading the entire company's data initiative (Product and GTM analytics) * Lead, coach, mentor, and hire a talented group of business analysts and product data analysts * Heading the company strategy of data analytics, collection, and insights of the company * Develop the best data strategies, processes, and best practices that align with the company goals and vision by making Bizzabo a data-driven company * Partnering with global stakeholders and providing useful insights and analytics solutions Data Analytics Team Lead - Leading the Product Data Analytics * Transforming complex data into meaningful insights for internal and external customers * Building the data team for high scale and growth (from 1 analyst to 10 global data members) by leading 2 data sites (Israel and Ukraine) * Cracking down the product usage of the customers which led to churn prediction accuracy of 80% * Implementing embedded analytics in the company (integrated within the product) generated additional revenue source for the company * Implementing tools, processes and working methods to drive Bizzabo as a data-driven company * Conducted PR analysis by using ML face recognition that was published in Bloomberg Inc.
Senior Business Analyst and Data Analyst
Logz.io
January 2017 - December 2018
- * In charge of all cross-company analysis by using SaaS metrics and KPIs * Provides predictive analysis and growth potential of the customer base by using statistical models * Generating insights and action items by querying the DB of strategic customers * Managing the implementation of new DB (planning, ETLs, and tables) * Partnering with global stakeholders
BI and Business Analyst team lead
Algorithmic Repricing Solutions for Sellers on Amazon
January 2014 - December 2016
- * Lead the ongoing product analysis process and provide useful insights and optimization * Increasing sales, profit, and profit margin * Increasing the conversion rate of paying customers (from 45% to 82%) * Managing and performing big data analysis using MySQL and RedShift * Generating BI reports (Tableau) and KPIs for sales and customer success team to improve performance by defining and automating the company's complex analyses * Define and adjust insights for setting the algorithm configuration and parameters * Providing the CS team advanced analyses to proactively prevent churn, increase retention * Daily work with R&D, Product, Sales, and data scientist
Business and BI Analyst
Conduit Ltd
January 2012 - December 2014
- in Global Business Division * In charge of all data analysis operations and output projection for the entire division * Building P&L, executing LTV of Conduit's customers (around 200,000 online publishers) * Responsible for user experience optimization and A/B testing * Monitoring and analyzing the entire network's and publisher's performance * Direct daily work with Sales, AMs, Professional Services, and Finance departments
Partner
Communications Ltd
January 2007 - December 2012
- Senior Economist, Technology Economics in Business Development Department * Senior economist managing Technology Division-related issues: * Performing economic analysis for BD and technology projects, feasibility, and approvals through the construction of models, business plans, P&L reports * In charge of the cross-company business plans analysis includes M&A by collecting requirements from different departments. * Economic evaluations for new/emerging areas, including risk assessments. * Building, monitoring, and control of the technology budget, planning vs. actual. * Daily work with different stack holders
Education
