Senior Product Data Analyst

Description

Welcome to Zesty, a dynamic startup at the forefront of cloud optimization innovation!

Zesty’s Mission

Zesty is a startup company specializing in automated optimization solutions, aiming to help organizations reduce costs and enhance operational efficiency. The company offers a range of products designed for DevOps and FinOps teams responsible for managing cloud usage within organizations.

Position Overview

• We are looking for a Senior Data Analyst to join Zesty’s data team and serve as a key analytical partner to the business.
• In this role, you will turn large-scale cloud usage data into insights that influence product decisions, customer value, and company growth.
• This role goes beyond technical analysis. It requires strong business understanding and the ability to connect data to real-world outcomes.
• As an independent function working closely with development teams, your insights will directly impact research quality, prioritization, and decision-making across the company.
  
  

• Analyze data from cloud service providers and additional internal and external sources, with a clear focus on business and product impact.
• Structure, clean, and organize unstructured and semi-structured data.
• Investigate anomalous activity and assess product, customer, and business risks.
• Translate complex analyses into clear, actionable insights for decision-makers.
• Create concise reports that highlight trends, risks, and opportunities.
• Define, track, and refine core product and business metrics.
• Contribute to dashboards that support data-driven decisions across the organization.
• Work closely with Product and Engineering teams as an independent analytical partner.
• Operate autonomously with strong ownership, accountability, and attention to detail.
  
  

• 5+ years of experience as a Data Analyst in a data-driven environment.
• Strong ability to connect data to business context and measurable impact.
• Experience working independently and influencing decisions without formal authority.
• Excellent analytical skills and attention to detail.
• 3+ years of hands-on experience with SQL and NoSQL databases.
• Experience with BI tools such as Tableau or similar platforms.
• Strong proficiency in Python and common data analysis libraries.
• Ability to define and communicate meaningful metrics to technical and non-technical stakeholders.
• Solid understanding of statistics and probability theory.
• Experience working with developers on data schemas and data flows.
• B.Sc. in a quantitative or exact science field (e.g., Statistics, Economics, Computer Science, Mathematics, Physics).
• Fluent English (written and spoken).
  
  

• Experience with Databricks and/or PySpark.
• Familiarity with AWS and/or Azure services.
• Experience with time series analysis.
• Hands-on experience with AWS Cost and Usage Reports (CUR).
• M.Sc. or PhD in a quantitative or exact science discipline.
  
  

• Diversity & Inclusion - Be yourself! We welcome employees from all backgrounds and have created a workplace where everyone can feel empowered.
• Transparency - Transparency: We share our success stories, failures, processes, numbers, and everything in between. If you want to know something that wasn't shared with you – just ask!
• One Team- We genuinely trust each other which enables us to act as one team working together toward the same mission. All team members are equally important
• Open Communication & Feedback -When facing challenges, we always look for fresh ideas and ways to overcome them and We embrace constructive feedback that can and should be given to anyone
• Ego is out at the door - Ego obscures and disrupts everything: the planning process, the ability to take good advice, and the ability to accept constructive feedback. We operate with a high degree of humility.