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Senior Product Data Analyst

fully flexible
Remote: 
Full Remote
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

5+ years experience in data analysis, Proficiency in SQL and data manipulation, Experience in dashboard creation and data visualization tools, Strong analytical mindset.

Key responsabilities:

  • Lead initiatives to analyze infrastructure data
  • Design and implement dashboards for key metrics
Qovery logo
Qovery Computer Software / SaaS Startup https://www.qovery.com/
11 - 50 Employees
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Job description

We provide the DevOps automation platform built to empower developers. From cloud infrastructure provisioning to production deployment, Qovery streamlines every step, enabling faster delivery, simplified workflows, and significant time savings.

🤩 Why your role is important:

We are seeking a Senior Product Data Analyst to join our team and drive our initiatives around our platform’s data and AI. This role combines product thinking, customer engagement, and data analytics expertise to build our next-generation insights and assistant platform.

You will lead initiatives to transform complex infrastructure data into actionable intelligence for our customers while also strengthening our internal analytics capabilities. This is a unique opportunity to shape how both customers and internal teams understand and leverage our platform's data in new ways.

As our first dedicated analytics hire, you'll have the autonomy to define and implement solutions, working closely with customers, product teams, and leadership to deliver high-impact analytics tools. The ideal candidate is someone who thrives at the intersection of customer needs and data-driven solutions, able to rapidly prototype and validate ideas while building for long-term success.


🚀 What will your job look like:

Your day-to-day responsibilities:

  • Lead initiatives to help customers gain valuable insights from their infrastructure data and improve their operational efficiency
  • Find new ways to leverage our platform’s data to bring value to our customers (including AI)
  • Design and implement POC dashboards and assistants focusing on key areas such as build performance, cost optimization, security compliance, and production metrics
  • Iterate quickly with stakeholders, gathering feedback and validating solutions through rapid prototyping
  • Partner with product and engineering teams to structure and optimize our internal analytics stack (BigQuery, Posthog) ensuring we collect the right data
  • Define and implement company-wide KPIs, creating internal reporting dashboards that drive business decisions
  • Lead the improvement of our billing pipeline, enhancing both internal processes and customer-facing reporting
  • Conduct ad-hoc analysis to support various teams' decision-making processes

🎯 What you'll get at Qovery

  • 5 + years experience in data analysis, preferably in a SaaS or infrastructure company
  • Strong analytical mindset with proven ability to translate complex data into actionable insights
  • Proficiency in SQL and data manipulation
  • Experience in dashboard creation and data visualization (e.g., Looker, Tableau, or similar tools)
  • Experience turning user interactions and product data into AI-powered features, particularly AI assistants or recommendation systems
  • Track record of leading data-driven projects from inception to delivery
  • Strong sense of ownership with an entrepreneurial spirit with a bias for action and business results, able to thrive in a fast-paced, dynamic environment
  • Experience conducting user interviews and gathering requirements
  • Strong communication skills with the ability to present findings to both technical and business stakeholders
  • Background in product analytics and familiarity with analytics tools (e.g., Posthog, Amplitude) is a plus
  • Familiarity with cloud infrastructure concepts is a plus
  • Fluency in oral and written English


Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Computer Software / SaaS
Spoken language(s):
English
Check out the description to know which languages are mandatory.

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