About the role

The Data Analyst will drive product analytics by tracking developer usage, retention, and conversion funnels to support product decisions. They will also build and maintain a modeled data layer and self-serve dashboards to ensure consistent, actionable metrics across the team.

What they look for

Data Analysis SQL Data Modeling Product Analytics Mixpanel Business Intelligence Dashboarding Data Visualization KPI Tracking Storytelling Product Metrics Conversion Funnels Retention Analysis AI Tools Scripting

Requirements

Candidates must have 3+ years of experience in data or product analytics, ideally within a technical B2B environment. Strong proficiency in SQL, data modeling, and the ability to communicate complex insights to non-technical stakeholders are essential.

Full description

Qodo is building the future of AI-powered software development. Our tools help engineering teams write better code, ship with more confidence, and move faster — without sacrificing quality. From intelligent code review to AI-driven test generation, Qodo sits at the intersection of developer tooling and cutting-edge AI. We're a fast-growing, product-led company trusted by thousands of developers and engineering teams worldwide.

We're looking for a Data Analyst to join our growing data team and help make analytics a core part of how we build. You'll work on the product-usage side of an AI product that thousands of developers rely on — understanding how teams adopt AI code review, which features drive value, and where we can make the experience better. It's a product-focused role at heart, reaching into business, operational, and cost metrics too, with room to shape how we work as the team grows.

Be the go-to analyst for the product team — drive product analytics day to day: how developers use our AI features, plus retention and conversion funnels
Turn raw product and usage data into clear, consistent metrics the team can trust
Build and maintain the modeled data layer, so metrics live in one place and analysis is repeatable rather than rebuilt each time
Build and maintain dashboards so teams can self-serve answers
Run deep-dive analysis to surface opportunities and support product decisions and experimentation
Extend into business and operational KPIs — conversion, churn, segmentation, customer value — and cost / unit-economics
Take analyses from problem definition through to clear recommendations, not just reports

Requirements

3+ years of industry experience as a Data, Product, Business, or BI Analyst, ideally in a developer-focused or technical B2B product
AI-native: AI tools are a default part of how you work, and you build prompts, scripts, and small agents to automate the repetitive parts of your own analysis workflow
Strong SQL and data modeling: you can move around a data warehouse independently, spot when a query that runs is still returning the wrong answer, and build clean, well-structured datasets that other people can rely on
Experience with a product analytics tool (e.g. Mixpanel) or a BI tool, with proven experience building self-serve dashboards
Strong communication and storytelling — you turn analysis into clear recommendations for non-technical stakeholders
Solid business sense — comfortable moving between product metrics and broader business and operational KPIs
Self-directed and comfortable with ambiguity — you can take a question from definition through to a clear answer with limited guidance, while working closely with a small team
Fluent English, written and spoken
Startup DNA — comfortable with fast iteration, shifting priorities, and wearing multiple hats

About the team

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