Analytics Engineer

About the Team

The Finance Data team is embedded within the CFO Org and is responsible for building internal data products that scale analytics across business teams and drive efficiencies in our daily operations. This team provides technical guidance on high-impact, scalable projects across Finance, and is the subject-matter expert in financial and transactional data that supports our revenue accounting, compute & infrastructure cost accounting, and strategic finance workstreams.

About the Role

As an Analytics Engineer, you will be an early member of the Finance Data team building the foundation to scale analytics across our business functions and impart best data practices for a rapidly growing organization.

This role will be partially dedicated to exploring using Generative AI (LLMs), including OpenAI APIs, to parse out useful information from structured or unstructured financial data at scale. Retrieval-Augmented Generation (RAG) and fine-tuning techniques may be necessary to ensure consistent high quality & reliable outputs for production ready applications.

In addition, you will work collaboratively with key stakeholders in Finance and other business teams to understand their pain points and take the lead in proposing viable, future-proof solutions to resolve them. You will also autonomously lead your own projects that deliver business impact and help cultivate a mature data culture among Finance teams.

We are looking for a seasoned engineer who has a proven track record of owning the entire data stack at high transaction volume companies, managing business critical ETL pipelines consumed by non-technical teams.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Explore and develop practical MVPs powered by OpenAI APIs for the CFO Org, with the long-term goal of reiterating them further into deployable, robust and scalable production systems

  • Pioneer best practices for LLM Ops including 1) evaluating output quality and measuring cost efficiency, 2) driving accuracy gains by mitigating hallucinations and 3) change management for prompting

• Understand the data needs of Finance teams, including Revenue, Compute & Infrastructure Accounting, Strategic Finance, and translate that scope into technical requirements

• Facilitate the development of data products and tools to facilitate self-service and enable analytics to scale across the company

• Lead dimensional design - define, own, and maintain business facing data marts

• Be a cross-functional champion at upholding high data integrity standards and SLAs for the timely delivery of data

• Build and maintain insightful and reliable dashboards to track both operational and financial Metrics for the Executive team

• Contribute to the future roadmap of the Finance team from a data systems perspective

• Grow to be an expert in Finance Data and OpenAI’s data architecture

You might thrive in this role if you have: 

• 7+ years of experience as a Analytics Engineer, Data Engineer, ML Engineer or in a similar role with a proven track record in shipping canonical datasets

• Empathy towards non-developer stakeholders and their day-to-day pain points

• Strong proficiency in SQL for data transformation, comfort in at least one functional/OOP language such as Python or R

• Familiarity with managing distributed data stores (e.g. S3, Trino, Hive, Spark), and experience building multi-step ETL jobs coupled with orchestrating workflows (e.g. Airflow, Dagster)

• Experience in writing unit tests to validate data products and version control (e.g. GitHub, Stash)

• Excellent communication skills and ability to present data-driven narratives in both verbal and written form to a non-technical audience

• Experience solving ambiguous problem statements in an early stage environment

• Some knowledge in developing Generative AI (LLMs) applications coupled with basic RAG or fine-tuning techniques (e.g. prompt optimization, imposing safety guardrails)

You could be an especially great fit if you have:

• Prior experience leading the development of an internal production tool, serving hundreds of cross-functional customers such as Billing Operations, Deal Desk or Go-to-Market teams

• Some frontend experience with React, TypeScript, Retool, Streamlit, or building web apps

• Good understanding of Spark and ability to write, debug, and optimize Spark jobs

• Experience tinkering with OpenAI o1 or other equivalent frontier models, demonstrated for example by side projects or hackathons

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. 

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For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

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