Analytics Engineer

Snyk • Boston, MA

1d

About The Position

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.

Requirements

• 1–3 years of experience in an analytical or data-focused role.
• Strong foundational grasp of data structures and transformation logic.
• Strong proficiency in SQL.
• Comfortable speaking with non-technical stakeholders and can translate "data talk" into clear, actionable answers.
• Genuine interest in how AI and LLMs are changing the data landscape and a desire to build these efficiencies into their daily workflow.

Nice To Haves

• Familiarity with dbt, Python, or modern cloud warehouses (Snowflake/BigQuery) is a significant plus.
• A hungry, "partner-first" professional who is eager to learn from senior leadership and eventually lead their own workstreams.

Responsibilities

• Building and optimizing dbt models to ensure clean, reliable, and performant datasets for business consumption.
• Assisting in the management of our AI-forward BI tools and ensuring executive-level dashboards remain accurate and high-performing.
• Contributing to the development of our governed semantic layer under the guidance of the Staff Analytics Engineer to maintain a single source of truth.
• Partnering with business units to troubleshoot data questions, refine requirements, and provide technical support during ad-hoc analysis.
• Owning the quality of the analytics layer by writing rigorous tests and maintaining documentation that makes our data easy to discover and use.
• Assisting in the implementation of AI-driven tools to automate repetitive tasks and enhance the self-service experience for the business.

Benefits

• Flexible working hours
• work-from home allowances
• in-office perks
• time off for learning and self development
• Generous vacation and wellness time off
• country-specific holidays
• 100% paid parental leave for all caregivers
• Health benefits
• employee assistance plans
• annual wellness allowance
• Country-specific life insurance
• disability benefits
• retirement/pension programs
• mobile phone and education allowances

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed