4 дня назад
Data Analyst (AI)
150 000 - 250 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Analyst (AI): Building self-serve data tools and driving business strategy for an AI infrastructure platform with an accent on analytics stack development and financial operations. Focus on creating foundational datasets, optimizing cloud compute economics, and providing strategic analysis to support AI-driven product growth.
Location: Must be based in or able to work onsite in New York, San Francisco, or Stockholm
Salary: $150,000 – $250,000
Company
is building the next-generation infrastructure layer for AI, supporting high-scale workloads with a platform that has seen rapid growth and significant venture backing.
What you will do
- Build and maintain self-serve data tools using a modern analytics stack.
- Embed with internal teams as a data adviser to provide strategic analysis and consulting.
- Develop data pipelines to power business operations, including cloud compute economics and sales compensation.
- Create foundational datasets for product usage, financial reporting, and marketing analysis.
- Identify cost savings and optimization opportunities across business tools and financial operations.
- Influence product development through detailed product analytics tracking.
Requirements
- Fluency in SQL and proficiency in Python.
- Professional experience with at least two of the following: Snowflake, dbt, dlt, , Hex, or Posthog.
- Ability to translate data insights into actionable business impact.
- High attention to detail and excellent communication skills.
- Strong interpersonal and relationship-building capabilities.
Nice to have
- Experience with AI products, specifically LLM inference and sandboxes.
- Background in FinOps, fraud, sales operations, or risk management.
- Project management experience.
- Active presence in the data community.
Culture & Benefits
- Work on a high-growth platform with a team of experienced engineers and researchers.
- Opportunity to influence the infrastructure layer of the AI era.
- Collaborative environment focused on evidence-backed decision-making.
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