Analytics Engineer, Finance

Analyticsengineering; San Francisco (CA); Hybrid; USD 90,000 - 150,000; Full time

Job summary

An established industry player is seeking a skilled Analytics Engineer to join their Finance Data team. In this pivotal role, you will help build scalable data products that enhance analytics across the organization. Collaborating with various stakeholders, you'll lead projects that drive impactful solutions and foster a mature data culture. This is an exciting opportunity to contribute to a forward-thinking company that values innovation and data-driven decision-making. If you have a passion for data and a knack for problem-solving, this role is perfect for you.

Benefits

Relocation Assistance

Flexible Work Hours

Health Insurance

Retirement Plan

Professional Development Opportunities

Qualifications

• 5+ years of experience as an Analytics Engineer or similar role.
• Strong proficiency in SQL and familiarity with ETL processes.
• Excellent communication skills for presenting data insights.

Responsibilities

• Understand data needs of Finance teams and translate into technical requirements.
• Lead the development of data products and maintain data integrity.
• Build and maintain dashboards for operational and financial metrics.

Skills

SQL

Python

R

Data Visualization

Communication Skills

Problem Solving

Education

Bachelor's Degree in a related field

Tools

Airflow

Tableau

GitHub

Spark

S3

Job description

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.

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 such as Strategic Finance or Revenue Operations.

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:

• 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 for stakeholders to 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:

• 5+ years of experience as an Analytics Engineer or in a similar role (Data Analyst or Data Engineer) 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)

• Expert at creating compelling data visualizations with dashboarding tools (e.g. Tableau, Looker or similar)

• 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

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

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.

OpenAI Affirmative Action and Equal Employment Opportunity Policy Statement

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

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via thislink.

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At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.