Financial Data Analyst

Job Description

Posted on: 
January 18, 2023

The Financial Data Analyst is a member of the Finance team, and will be responsible for financial and operational analytics, modeling, reporting, and business support for key parts of the organization. This role requires in-depth business knowledge and advanced skills in data manipulation to translate business needs into insights and analysis. The successful candidate will be self-motivated, highly analytical, and detail oriented. This role will report directly to the Finance Manager, based in Tel-Aviv.


  • Analyze actual, forecast, and budget expenses on a monthly and quarterly basis to help control costs
  • Create and maintain dashboards using Tableau Desktop and Tableau Server using a variety of sources
  • Design automated solutions for recurrent reporting (daily/weekly/monthly)
  • Contribute to the continued development of report automation and self-service distribution through Tableau and other platforms
  • Maintain and improve current processes, and create new processes, to produce, collect, and analyze reference data
  • Work on special projects and ad-hoc assignments
  • Work collaboratively with the accounting team to ensure accurate financial reporting
  • Deliver key financial forecasting, along with insightful performance reporting and analysis, while engaging various stakeholders in the company

Job Requirements

  • Bachelor’s degree in one of the following disciplines: Finance, Economics, Accounting
  • With min 3-5 years of experience as a FP&A in a High-Tech company, fast-paced environment, preferably in subscription revenue environment - SaaS
  • Advanced Excel skills, including a working knowledge of SQL and VBA
  • Strong analytical skills with the highest standards of accuracy and precision
  • Expertise in a data visualization tool (Tableau)
  • Proven experience in development in BI tools (Tableau)
  • Skilled with data analysis, data visualization and reporting & analytics
  • Ability to perform detailed data analysis, i.e. determine the structure, content, and quality of the data
  • Outstanding communication and interpersonal skills
  • Excellent English (written and verbal)
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