The RoleThis 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!
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
