Senior Analytics Engineer Job at GitGuardian (Paris)

Senior Analytics Engineer

GitGuardian

Location:
France , Paris

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

As our first dedicated Analytics Engineer, you will be a foundational part of our data team's expansion. You will join a core team of 3 Data Engineers, and will be one of two new dedicated roles (alongside an AI Automation Engineer) being added to build out our advanced data capabilities. You will be pivotal to GitGuardian's growth and success by formalizing and scaling our analytics engineering function, building the bridge between our core data platform and our business stakeholders. You will build a reusable analytics platform—trusted data models, well-defined metrics, and clear contracts—that powers internal decisions and customer-facing analytics. Think paved roads, not one-offs: reusable components, great documentation, and governance that makes shipping insights fast and safe.

Job Responsibility:

Architect and own data models: Design, build, and maintain end-to-end models in Snowflake as the single source of truth for key domains (Product, Sales, Marketing), with clear contracts and documentation
Define metrics & contracts: Establish canonical metrics and data contracts with stakeholders
encode them in versioned, tested transformations to ensure consistency across tools
Power In‑App analytics: Build and optimize the datasets that power product analytics inside GitGuardian—reliable, performant, and explainable to customers and PMs
Champion self‑service: Own Metabase and enable self-serve analytics through curated datasets, training, documentation, and guardrails—measured by adoption and autonomy
Ensuring data quality & governance: Implement tests, lineage, SLAs, and documentation standards with Data Engineering to make data observable, trusted, and auditable
Being a strategic partner: Develop deep domain expertise, challenge assumptions, and use data to shape product and GTM strategy—prioritizing high-ROI outcomes
Mentor and elevate: Coach teammates (including interns), codify best practices, and raise the bar for modeling, reviews, and documentation
Innovate with AI: Use GenAI to accelerate development, improve docs, and streamline exploration—bringing pragmatic gains into daily workflows
Own the roadmap: Set the analytics engineering roadmap and paved paths—what “good” looks like for models, metrics, and self‑service at GitGuardian

Requirements:

5–7+ years in data teams with a strong track record in Analytics Engineering (or equivalent) shipping production-grade models and metrics
Expertise with SQL and production experience with dbt (Core/Cloud). You’ve designed, deployed, and maintained complex models with tests, docs, and version control. (dbt experience required even if our runtime is in-house.)
Product mindset for analytics: you translate ambiguous questions into clear metrics, robust models, and artifacts people actually use
Self‑service champion: you measure success by adoption and autonomy—fewer ad hoc requests, more empowered teams
Pragmatic and autonomous communicator: comfortable advising leadership, setting standards, and driving alignment across Product, GTM, and Engineering
Proficiency in Python for data manipulation, scripting, and tooling around the transformation layer
Familiarity with GenAI to accelerate development, exploration, and documentation (practically, not hype)
Fluency in English (verbal and written)

Nice to have:

High‑growth B2B SaaS experience
Experience with our stack (Dagster, Fivetran/Airbyte, Metabase)
Prior experience scaling an analytics function and defining paved paths (models, metrics, self‑service)
Exposure to data ingestion/engineering and data contracts

What we offer:

Package that includes stock-options
Lunch voucher (Swile)
Non-charged health insurance for children (Sidecare / Generali)
Up to €300 to improve your home office set-up
Yearly holiday allowance
Referral bonus of 4000€ for any new Guardian we might hire thanks to you
Team building: monthly budget dedicated to each employee that you can spend as you wish, with colleagues (latest examples to date: Michelin star restaurant, karaoke, stand-up show, kitesurfing week-end, ...)
Opportunities for career development in the long term

Additional Information:

Job Posted:
January 10, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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