Data Product Analyst

Posted 12 Hours Ago
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Geneva, CHE
Hybrid
Mid level
Artificial Intelligence • Cloud • Security • Software
Sonar is the trust & verification layer for AI and agentic coding, and the industry standard for automated code review.
The Role
The Data Product Analyst leads data projects, bridging technical and business needs, using tools like dbt and visualization software to drive data-driven decisions.
Summary Generated by Built In
Who is Sonar?

Sonar is driving the future of agent-centric software development. As the leader in AI code review and verification, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable.

Integrating seamlessly with Claude Code, Codex, Cursor, GitHub Copilot, Gemini, and Devin, we help over 75% of the Fortune 100 build trusted, reliable, compliant software. Customers who use Sonar are 44% less likely to report an outage due to AI-generated code.

We believe code verification is the critical missing link in the Agent-Centric Development Cycle (AC/DC). Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor Company count on us to provide independent, explainable, consistent review and governance of their AI-generated code via products like:

  • SonarQube: The world’s leading AI code review and verification platform.

  • SonarQube Foundation Agent: Currently topping the leaderboards for agentic software repair.

  • SonarSweep & Sonar Context Augmentation: Providing the enterprise-grade context and constraints agents need to be truly effective.

Our team operates across global hubs in Austin, Bochum, Dubai, Geneva, London, Singapore, Tokyo, and Washington D.C. We move with a mindset we call CODE:

  • Committed to our customers and community.

  • Obsessed with quality.

  • Deliberate in our decisions.

  • Effective as one team.

With over $400M in revenue and profitable, fast-paced growth, we are building the backbone of the AI software revolution. If you’re hungry to have an impact, want to build at a fast pace, and ready to work at the forefront of AI, we want to hear from you.


Position description

We want to make the best decisions possible for our products and to do that, we need to make data-driven decisions. To achieve this goal, we are looking for a talented Data Product Analyst (DPA) to join the product data team.

As a Data Product Analyst (DPA) at Sonar, you are the architect of clarity and the bridge between technical infrastructure and business value. We treat Data as a Product, and you own its entire lifecycle—from dbt SQL modeling and event-based schema governance to high-level executive storytelling.

You will thrive in this role if you enjoy a "full-stack" analytical challenge. You are a proactive project leader who owns the data relationship for your domain. Depending on the need, your impact ranges from empowering users through data literacy to leading complex, end-to-end analyses from initial conception to the final executive summary.

What you will do

    We believe in using the best tools to stay effective and efficient. You will be expected to master and evolve our data ecosystem:

    Data project ownership & delivery

  • Managing a data project from start to finish using agile method, helping stakeholders to refine their questions into structured data projects, advising stakeholders on what to measure, how to model it, and which tool to use and facilitating stakeholder discussions to bridge the gap between high-level business goals and technical execution.

  • Deliver end-to-end solutions, from ingestion and modeling to executive-ready visualizations and summaries.

  • Technical stack

  • Modeling & Architecture: Build and maintain scalable models using dbt (SQL) and provide critical reviews of event schemas for our event-based platform.

  • Modern Workflow: Leverage Cursor and Git to accelerate development and ensure code quality and version control.

  • The Analytics Hub: Own the user experience across Mixpanel, Tableau, Metabase, and Atlan, ensuring they serve as the single source of truth.

  • Data literacy

  • Onboarding and empowering users to self-serve, effectively reducing the data team as a bottleneck.

  • Handling ad-hoc requests ranging from querying specific datasets to providing technical guidance on our tooling landscape.

  • Participating in Level 1 technical support, including monitoring dbt jobs and Tableau extracts to ensure the reliability of our products.

  • Project Governance: Use Jira for roadmap visibility and dbt/Confluence/Atlan for high-quality documentation that survives handoffs.

  • Continuous Platform Improvement

    You act as a bridge to Data Engineering. You’ll proactively surface data debt, documentation gaps, and tooling friction to ensure the platform gets simpler and stronger over time. You’ll also ensure high standards for PII handling and security policies are built into every delivery.

Experience and qualifications

  • Proven Experience: 3–5+ years in a Data Analyst, Data Product Analyst, or Analytics Engineering role, ideally within a fast-paced environment.

  • Project Leadership: A track record of taking the lead with stakeholders—successfully translating high-level business ambiguity into structured, actionable data projects. You have experience helping and mentoring other team members.

  • Technical Mastery: hands-on experience with dbt / SQL (modeling, testing, and documentation).

  • Hands-on experience with data visualization tools (Tableau, Mixpanel, or similar)

  • The Modern Workflow: Comfort working in a version-controlled environment (Git) and an interest in leveraging AI-assisted development tools (like Cursor) to drive efficiency.

  • Data Storytelling: The ability to distill complex findings into executive-ready summaries and visualizations that drive decision-making.

  • You are fluent in English both written and spoken

  • Familiarity with data governance practices (PII handling and access control).

  • Experience in Product Analytics or working directly with Product Managers a nice to have

  • Familiarity with data engineering concepts (Data Lake, Data Warehouse, ETL / ELT pipeline) and tools (AWS, redshift, Lamdas, Databricks) is a plus

We value diversity, equity, and inclusion

At Sonar, we believe that our diversity is our strength. We are a global company that values and respects different backgrounds, perspectives, and cultures. We are committed to fostering a diverse and inclusive work environment where everyone feels valued and empowered to contribute their best. We are proud to be an equal opportunity employer and welcome all qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

If you need any accommodation, please reach out to us at [email protected]

All offers of employment at Sonar are contingent upon the results of a comprehensive background check and reference verification conducted before the start date. 

We do not currently support visa candidates in the US. 

Applications that are submitted through agencies or third party recruiters will not be considered.

Skills Required

  • 3-5+ years in a Data Analyst, Data Product Analyst, or Analytics Engineering role
  • Hands-on experience with dbt / SQL (modeling, testing, and documentation)
  • Hands-on experience with data visualization tools (Tableau, Mixpanel, or similar)
  • Comfort working in a version-controlled environment (Git)
  • Fluent in English both written and spoken

What the Team is Saying

Kim
Elizabeth
Katie
Jeff
Brian
Will
Varsha
Max
London

Sonar Compensation & Benefits Highlights

  • Leave & Time Off Breadth Leave & Time Off Breadth: Paid time off is positioned as generous for U.S. employees, with a substantial baseline, additional sick leave and holidays, and tenure-based increases. Company-wide time off is also highlighted as part of the package.
  • Healthcare Strength Healthcare Strength: Health coverage is described as comprehensive, with the employer covering most employee premiums for medical, dental, and vision, and fully funding life and disability insurance. Telemedicine, mental health resources, and an employee assistance program are also included.
  • Retirement Support Retirement Support: A 401(k) plan with a company match that vests from day one is offered, providing straightforward long-term savings support. This is complemented by employer-paid life and disability protections.

Sonar Insights

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The Company
HQ: Austin, TX
800 Employees
Year Founded: 2008

What We Do

Sonar provides the essential verification layer for the AI-driven development era, ensuring all code—whether human-written or AI-generated—is code you can trust. Today, AI coding tools are generating explosive volumes of code. This has created an "engineering productivity paradox" : faster code writing doesn't automatically lead to faster, safer software delivery. The new bottleneck is verification. Sonar solves this. Integrating code quality and code security into a single platform (SonarQube), Sonar is the foundation for high performance software engineering, analyzing over 750 billion lines of code daily to ensure applications are secure, reliable, and maintainable. As an independent verification platform, Sonar enables organizations to securely develop at the speed of AI. We are driven by a deep belief in our people, a commitment to excellence, and an unwavering dedication to delivery. We operate as a united group where our collective success is the sum of each individual's contributions. Our company culture is driven by the values of CODE: Committed, Obsessed, Deliberate & Effective. This mindset reflects our culture of creativity, collaboration, and pride in the work we do. Rooted in the open source community, Sonar’s solutions support over 35 programming languages, frameworks, and infrastructure technologies. Today, Sonar is used by 7M+ developers worldwide, including ServiceNow, Booking.com, Deutsche Bank, AstraZeneca, and Ford Motor Company. Sonar is headquartered in Geneva, Switzerland with additional offices in Austin, Texas; Bochum, Germany; London, Singapore, and Tokyo. The company is rapidly growing with over 800 employees! Join us in our mission to solve the trillion-dollar challenge of bad code!

Why Work With Us

We are a product-first company, with a people-first culture. Every employee has the opportunity to grow and learn. We promote from within, provide regular feedback and professional development opportunities, value the right to fail along with respect and kindness and work with team members to achieve their full potential.

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Sonar Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

At Sonar, we require employees to come into the office 3 days/week.

Typical time on-site: 3 days a week
HQAustin, TX office
Geneva Office (HQ)
Annecy Office
Bochum Office
London Office
Singapore Office
Learn more

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