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Analytics Engineer - job 1 of 2

About the Role

As an early member of our Data team within the Go-To-Market (GTM) organization, you will play a pivotal role in building a data-centric culture, enhancing decision-making processes, and driving strategic initiatives through analytics. This role involves a variety of projects aimed at developing canonical data sources and dashboards that enable the business to derive trustworthy, actionable insights. Most importantly, you should expect to be a core member of the GTM team, helping to bring our technology to a wide range of customers and supporting our self serve and sales led motions.

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:

  • Embed with the GTM team as a trusted partner, identifying high-impact analytics problems and pioneering data-driven solutions. 

  • Establish a data-driven culture by driving the definition, tracking, and operationalizing of metrics

  • Manage cross-functional data projects about revenue, pricing, usage, and other topics core to the business. 

  • Create scalable pipelines for data collection, cleaning, and analysis from multiple sources, and manage the lifecycle of metrics and models from prototyping to production. 

  • Develop and refine tools such as dashboards and reports that empower the team to extract and analyze data independently. 

  • Conduct analyses to uncover insights and inform key decisions.

  • Use presentations, memos, and tools to communicate complex data insights clearly and persuasively across the organization.

 

You might thrive in this role if you are/have:

  • Over 6 years of experience in a relevant Data role within dynamic, outcome-driven organizations.

  • Highly skilled in SQL, with extensive experience extracting large datasets and designing ETL workflows.

  • Proficient in quantitative programming languages, Python preferred.

  • Experienced in using business intelligence tools, such as Tableau and Looker, to communicate insights and enable self-serve.

  • Familiar with advanced custom visualizations, such as streamlit and plotly dash.

  • Adept at crafting clear data stories using decks, memos, and dashboards to drive decision-making at every level.

  • Best-in-class attention to detail and unwavering commitment to accuracy.

  • Demonstrated ability to build effective partnerships across diverse teams and influence decision making with data.

  • Proven track record of delivering significant business impact, with a solid track record in  Finance, Sales, Support, or other GTM areas preferred.

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 this link.

OpenAI Global Applicant Privacy Policy

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.

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What You Should Know About Analytics Engineer, OpenAI

As an Analytics Engineer at OpenAI in the vibrant city of San Francisco, you will become a crucial part of our Data team within the Go-To-Market (GTM) organization. This role is about much more than crunching numbers; it's about fostering a data-driven culture that enhances decision-making processes and drives strategic initiatives. Your main challenge will be to identify those high-impact analytics problems and develop innovative, actionable solutions that the business can trust. You will work closely with the GTM team, managing exciting cross-functional projects that will allow you to dive deep into crucial topics such as revenue, pricing, and product usage. Utilizing your expertise in SQL and quantitative programming languages, notably Python, you will create scalable data pipelines and build intuitive dashboards, ensuring everyone in the organization can extract and analyze data seamlessly. Your ability to present complex insights clearly will be key to influencing decisions at all levels. We believe that this role suits proactive individuals with over six years of experience who thrive on collaboration and a commitment to precision. Join us at OpenAI, where your skills in business intelligence tools, like Tableau and Looker, will be instrumental in making profound impacts across our operation. Embrace the chance to work in a hybrid model while being part of an innovative team dedicated to shaping technology for the benefit of humanity.

Frequently Asked Questions (FAQs) for Analytics Engineer Role at OpenAI
What responsibilities can I expect as an Analytics Engineer at OpenAI?

As an Analytics Engineer at OpenAI, your responsibilities will include partnering with the GTM team to identify key analytics problems, establishing metrics, managing data projects, and creating tools such as dashboards that allow for independent data analysis. You'll also be conducting detailed analyses to provide insights for decision-making.

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What qualifications do I need to apply for the Analytics Engineer position at OpenAI?

To apply for the Analytics Engineer role at OpenAI, you should have over six years of experience in relevant data roles, strong SQL skills, and proficiency in Python. Familiarity with business intelligence tools like Tableau or Looker, along with attention to detail and proven ability to foster cross-team partnerships, are also essential.

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How does OpenAI support data-driven initiatives in the Analytics Engineer role?

OpenAI encourages data-driven initiatives by placing the Analytics Engineer at the forefront of their GTM organization. You'll be integral in defining, tracking, and operationalizing metrics, thus establishing a data-centric culture that informs critical business decisions and enhances operations.

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What tools will I be working with as an Analytics Engineer at OpenAI?

In your role as an Analytics Engineer at OpenAI, you will be working extensively with SQL, Python, and business intelligence tools such as Tableau and Looker. Additionally, you'll gain hands-on experience with advanced visualization tools like Streamlit and Plotly Dash to create engaging, informative data presentations.

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What is the work environment like for an Analytics Engineer at OpenAI?

The work environment for an Analytics Engineer at OpenAI is collaborative and dynamic, allowing for a hybrid work model where you can work three days in the office. This setup promotes teamwork while providing flexibility, making sure you have the best of both worlds.

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Common Interview Questions for Analytics Engineer
Can you describe a time when you identified a significant data-driven opportunity?

When answering this question, provide a specific example where you analyzed data to recognize an opportunity that positively impacted the business. Highlight the steps you took to implement changes based on your findings and the ultimate outcomes.

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How do you ensure the accuracy of your data analyses?

Explain your processes for validating data. Discuss methods like cross-referencing with other datasets, using automated tests for data quality, and peer reviews to maintain accuracy in your analyses.

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What experience do you have with SQL and Python in previous roles?

Detail your experience with SQL and Python, including specific projects or tasks where you utilized these skills. Share your comfort level with querying large datasets and developing ETL workflows in Python.

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How do you communicate complex data insights to non-technical stakeholders?

Describe your approach to simplifying complex data insights for non-technical audiences. You might explain how you use visuals, dashboards, and clear storytelling to convey essential information effectively.

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What strategies do you use to prioritize multiple data projects?

Discuss how you assess the impact, urgency, and resources available for different data projects. Include any frameworks or tools you use to manage priorities and ensure timely delivery.

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Can you give an example of a dashboard you created? What was its purpose?

Provide an example of a specific dashboard you created, describing its purpose, the data it involved, and how it was used by your team or company. Emphasize the value and insights it provided.

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How do you keep up with industry trends and advancements in data analytics?

Share your methods for staying updated, such as following blogs, participating in webinars, or attending industry conferences. Mention any specific resources you rely on to continuously learn and develop professionally.

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Describe a challenging data analytics problem you faced and how you solved it.

Provide a detailed example of a challenging problem, explaining the steps you took to analyze the data, the solutions you considered, and the final resolution. Highlight your analytical thinking and problem-solving skills.

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What role do you believe an Analytics Engineer plays in a Go-To-Market team?

Explain the crucial role of Analytics Engineers in supporting data-informed strategies for sales and marketing. Emphasize how they contribute to decision-making by providing actionable insights and driving a data-centric culture.

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How do you handle disagreements with team members regarding data interpretations?

Discuss your conflict resolution strategies, focusing on how to remain analytical and objective during disagreements. Highlight the importance of collaboration, open communication, and using data to reach consensus.

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OpenAI is a US based, private research laboratory that aims to develop and direct AI. It is one of the leading Artifical Intellgence organizations and has developed several large AI language models including ChatGPT.

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CULTURE VALUES
Inclusive & Diverse
Feedback Forward
Collaboration over Competition
Growth & Learning
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EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
January 14, 2025

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