Data Analyst

About Guidde

Guidde is a dynamic startup at the forefront of the #KnowledgeOnDemand transformation. Founded by seasoned entrepreneurs, our platform bridges crucial gaps in delivering accessible, on-demand knowledge to users worldwide. At Guidde, we utilize advanced AI technologies, including NLP and Computer Vision, to pioneer generative video solutions. Our platform enables any organization to create high-quality how-to videos in seconds, making knowledge creation and sharing a no-brainer task.

With over 4,000 paying organizations seeing 20%+ reduction in support tickets and 70% time savings in content creation, we're rapidly scaling our operations and looking for talented individuals eager to transform how knowledge is consumed and shared.

The Ideal “Guidder” is like the videos we create: clear, impactful, and focused on delivering value. We blend a startup environment with sports team principles - strategic in planning, collaborative in execution, and obsessed with customer wins. We value doers who listen more than they talk and who show up ready to play their best game.

Ready to make your mark on our roster? Go Guidde!

If you are someone who thinks in data models, loves turning messy inputs into clear insights, and gets excited about building scalable data systems that teams actually rely on - then your place is with us!

How will your day-to-day look?

• Own core data models – Build and maintain production-ready SQL transformations in BigQuery that serve as the single source of truth for analytics
• Turn data into decisions – Investigate complex business questions independently and deliver clear, actionable insights for growth
• Enable AI-ready analytics – Structure data models and documentation to support seamless consumption by automated systems and intelligent workflows
• Build dashboards that matter – Design and maintain dashboards Sales, Marketing, and Customer Success use daily to run the business
• Partner with GTM leaders – Work closely with go-to-market teams to understand challenges and deliver data solutions that accelerate execution
• Raise the data bar – Improve reliability, clarity, and usability of analytics across the company as we scale
  
  

What will you need to have?

• Strong SQL expertise – Deep comfort with complex queries, data modeling, and optimization in cloud data warehouses (BigQuery preferred)
• Analytical problem-solving mindset – Ability to take ambiguous questions and structure them into clear, data-driven answers
• Relevant experience – 2–3 years in analytics engineering, business-oriented data analysis, or a related role
• GTM analytics understanding – Solid grasp of sales pipelines, marketing funnels, and core business KPIs
• Startup DNA – Comfortable with ambiguity, moving fast, and adapting as priorities shift
• Clear communication – Ability to translate technical work into business impact and collaborate smoothly with non-technical stakeholders
  
  

Bonus points if you have:

• Hands-on experience with dbt or similar ELT/transformation tools
• Background in RevOps, Sales Ops, Marketing Ops, or go-to-market analytics
• Experience working on AI-centric products or features
  
  

Your journey with Guidde

Leave Your Mark: Shape the data foundation that powers Guidde’s go-to-market growth

Work Your Way (Hybrid): Enjoy a flexible work arrangement based in Tel Aviv

Innovate Together: Partner closely with Sales, Marketing, CS, and Product on meaningful business challenges

Fuel Your Growth: Expand your impact and expertise as the company and data stack scale

Your Value Matters: Receive a competitive compensation and benefits package

We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you're excited about this role but your past experience doesn't align perfectly with every bullet point listed, we still encourage you to apply. If you're a builder at heart, share our company values, and are enthusiastic about making software toolmaking ubiquitous, we want to hear from you.