Data Analyst

Posted 2 Days Ago
4 Locations
In-Office or Remote
150K-200K Annually
Mid level
Software
The Role
As a Data Analyst, you'll create dashboards and data models, ensure data reliability, and collaborate with various teams to deliver insights.
Summary Generated by Built In

ABOUT BASETEN

Baseten powers inference for the world's most dynamic AI companies, like OpenEvidence, Clay, Mirage, Gamma, Sourcegraph, Writer, Abridge, Bland, and Zed. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. With our recent $150M Series D funding, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction, we’re scaling our team to meet accelerating customer demand.

THE ROLE

We’re hiring a Data Analyst to help build and scale our internal analytics capabilities. This is a foundational role where you’ll create dashboards and data models to power business and product teams alike. You’ll collect requirements, define key metrics, and deliver insights directly to stakeholders. You’ll also lead your own projects to enable low-friction, self-service access to data across Baseten.

RESPONSIBILITIES

  • Build, enhance, and maintain dashboards across multiple functions with a focus on accuracy, simplicity and user experience

  • Ingest and transform raw data into dashboard-ready views using tools like dbt, Airbyte, and BigQuery

  • Partner with Engineering, Finance, Marketing, and Sales teams to understand goals and translate them into data solutions

  • Define and instrument core metrics around ROI, product adoption, customer lifecycle and financial performance

  • Ensure data reliability and consistency through testing, version control and documentation across the analytics stack

REQUIREMENTS

  • 3+ years of experience in analytics, BI, or data engineering roles

  • Strong SQL skills with the ability to write complex queries for data transformation and analysis

  • Familiarity with modern BI platforms like Sigma or Hex

  • Prior experience supporting B2B GTM organizations across the customer journey, with hands on experience in a CRM/CDP system

  • 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

BENEFITS

  • Competitive compensation, including meaningful equity.

  • 100% coverage of medical, dental, and vision insurance for employee and dependents

  • Generous PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)

  • Paid parental leave

  • Company-facilitated 401(k)

  • Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

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.

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.

Top Skills

Airbyte
Bi Platforms
BigQuery
Dbt
SQL
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The Company
59 Employees

What We Do

At Baseten we provide all the infrastructure you need to deploy and serve ML models performantly, scalably, and cost-efficiently.

Get started in minutes, and avoid getting tangled in complex deployment processes. You can deploy best-in-class open-source models and take advantage of optimized serving for your own models.

We also utilize horizontally scalable services that take you from prototype to production, with light-speed inference on infra that autoscales with your traffic.

Best in class doesn't mean breaking the bank. Run your models on the best infrastructure without running up costs by taking advantage of our scaled-to-zero feature

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