Noogata-Senior Data Analyst

  • Noogata
  • Tel Aviv, Israel
  • Full-time
About The Position

Noogata is industrializing enterprise AI, enabling enterprises to easily and scalably infuse AI into key processes at a fraction of the cost and complexity of current generation solutions. Our mission is to empower enterprise data consumers across all business functions to leverage AI-powered features, seamlessly plugged into their system of choice. Noogata’s technology allows companies to deploy our prefabricated, modular AI Boards for common industry use-cases, customize, and scale them in production without requiring custom development or data-science capabilities. 

Noogata is looking for world-class data fanatics to join us, build our product and grow our vision. We’re looking for customer-focused, self-driven individuals that want to solve big, complex problems with a huge impact. Our team of Software Engineers, Data Scientists, ML Engineers and Customer Success Managers is passionate about delivering the promise of AI in the business world. So if you’re all that and looking to lead, invent and grow professionally -join us on our journey! 

Your role will include:

  • Perform Data analyses, validation and harmonization
  • Dive into new business verticals, understanding their value drivers and drawing insights from relevant datasets
  • Build reports and dashboards using SQL and BI and visualization tools
  • Communicate your findings to teams and customers, in Hebrew and English, orally and in writing
  • Build data scraping and wrangling tools

  • 6+ years of work experience in analytics
  • Ability to thrive in a fast-paced, data-driven environment
  • Strong analytical background
  • Highly proficient in Excel, SQL, reporting and BI tools, fast adopter of new tools
  • Highly professional English, including in technical contexts
  • Impact-oriented, team spirit, self-driven, detail-minded person


  • Experience with analytics tools (Google Analytics, Amazon Retail Analytics, SimilarWeb, MixPanel)
  • Experience with Python scripting or equivalent
  • Experience with machine learning and data science concepts
  • Startup experience

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