Analytics Engineer

Salary: $180K - $230K Employment Type: Full-Time

About BaseTen

BaseTen provides the infrastructure, tooling, and expertise needed to bring great AI products to market - fast. Backed by top investors including IVP, Spark Capital, Greylock, and Conviction, we’re trusted by leading AI-driven innovators like Writer, Abridge, Bland, Patreon, and Descript to deliver industry-leading performance, security, and reliability for their mission-critical workloads. With our recent $75M Series C funding, we’re growing fast to make AI accessible across all products.

The Role

We’re hiring an Analytics Engineer to establish and scale our internal data capabilities. This is a high-impact, foundational role where you’ll work across the stack—from ingesting and modeling data to surfacing metrics and insights that drive key decisions. You’ll be both the architect and analyst, building pipelines, defining metrics, designing visualizations, and translating complex data into actionable recommendations.

Responsibilities

• Design and implement robust data pipelines to collect, transform, and analyze data from various sources.
• Evaluate and select tooling and workflows to set up a scalable data environment that supports BaseTen’s growth.
• Collaborate with stakeholders across Product and Engineering, GTM, and Finance teams to understand their goals and data needs.
• Define and model core business metrics that support decision-making and performance tracking.
• Create clean, intuitive dashboards and reports, ensuring data is easy to access and interpret.
• Ensure high data reliability and consistency across systems and teams.
• Establish best practices for data quality, testing, and documentation.

Requirements

• 5+ years of experience in a data, analytics, or BI-focused role with proven ability to translate business questions into analytical solutions.
• Strong SQL skills with the ability to write complex queries for data transformation and analysis.
• Proficiency in Python for data manipulation, analysis, and automation.
• Experience working with modern data stack tools—for example Airflow, Segment, Fivetran, BigQuery, and Looker.
• Solid understanding of metrics relevant to B2B SaaS businesses with a PLG motion.
• Excellent communication skills and a collaborative approach to working with cross-functional teams.
• An ownership mindset: you’re excited to be the first hire in this role and to shape how data works at BaseTen.

Application Instructions

Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.

Company Information

At BaseTen, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.