Snyk is the leader in secure AI software development, helping millions of developers develop fast and stay secure as AI transforms how software is built. Our AI-native Developer Security Platform integrates seamlessly into development and security workflows, making it easy to find, fix, and prevent vulnerabilities — from code and dependencies to containers and cloud.
Our mission is to empower every developer to innovate securely in the AI era — boosting productivity while reducing business risk. We’re not your average security company - we build Snyk on One Team, Care Deeply, Customer Centric, and Forward Thinking.
It’s how we stay driven, supportive, and always one step ahead as AI reshapes our world.
What you'll do
This is a high-growth opportunity for a rising technical talent to help build a world-class data platform from the ground up. Working under the direct mentorship of the Staff Analytics Engineer, this individual will be a key contributor to our transformation layer, turning raw data into the fuel that powers our business. This isn't a role for someone who wants to hide in the logs; it's for an engineer who wants to master the modern data stack, engage with business stakeholders, and stay at the absolute forefront of AI-enabled analytics.
Core Responsibilities
Data Transformation: Building and optimizing dbt models to ensure clean, reliable, and performant datasets for business consumption.
BI Support & Maintenance: Assisting in the management of our AI-forward BI tools and ensuring executive-level dashboards remain accurate and high-performing.
Semantic Layer Support: Contributing to the development of our governed semantic layer under the guidance of the Staff Analytics Engineer to maintain a single source of truth.
Stakeholder Interaction: Partnering with business units to troubleshoot data questions, refine requirements, and provide technical support during ad-hoc analysis.
Documentation & Testing: Owning the quality of the analytics layer by writing rigorous tests and maintaining documentation that makes our data easy to discover and use.
AI Exploration: Assisting in the implementation of AI-driven tools to automate repetitive tasks and enhance the self-service experience for the business.
The Profile
Experience: 1–3 years of experience in an analytical or data-focused role. This individual has a strong foundational grasp of data structures and transformation logic.
Growth Mindset: A hungry, "partner-first" professional who is eager to learn from senior leadership and eventually lead their own workstreams.
Technical Fundamentals: Strong proficiency in SQL is a requirement. Familiarity with dbt, Python, or modern cloud warehouses (Snowflake/BigQuery) is a significant plus.
Communication: This individual is comfortable speaking with non-technical stakeholders and can translate "data talk" into clear, actionable answers.
AI Enthusiasm: A genuine interest in how AI and LLMs are changing the data landscape and a desire to build these efficiencies into their daily workflow.
We care deeply about the warm, inclusive environment we’ve created and we value diversity – we welcome applications from those typically underrepresented in tech. If you like the sound of this role but are not totally sure whether you’re the right person, do apply anyway!
About Snyk
Snyk is committed to creating an inclusive and engaging environment where our employees can thrive as we rally behind our common mission to make the digital world a safer place. From Snyk employee resource groups, to global benefits that help our employees prioritize their health, wellness, financial security, and a work/life blend, we aim to support our employees along their entire journeys here at Snyk.
Benefits & Programs
Prioritize health, wellness, financial security, and life balance with programs tailored to your location and role.
Flexible working hours, work-from home allowances, in-office perks, and time off for learning and self development
Generous vacation and wellness time off, country-specific holidays, and 100% paid parental leave for all caregivers
Health benefits, employee assistance plans, and annual wellness allowance
Country-specific life insurance, disability benefits, and retirement/pension programs, plus mobile phone and education allowances