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Partner 20, Financial Analytics Engineer

Founded in Silicon Valley in 2009 by Marc Andreessen and Ben Horowitz, Andreessen Horowitz (aka a16z) is a venture capital firm that backs bold entrepreneurs building the future through technology. We are stage agnostic. We invest in seed to venture to growth-stage technology companies, across AI, bio + healthcare, consumer, crypto, enterprise, fintech, games, and companies building toward American dynamism. a16z has $43B in assets under management across multiple funds.

We’ve established a team that is defined by respect for the entrepreneur and the company-building process; we know what it’s like to be in the founder’s shoes. We’ve invested in companies like Affirm, Airbnb, Coinbase, Databricks, Devoted Health, Insitro, Figma, GitHub, Instacart, OpenSea, Roblox, Stripe, and Substack. Our team is at the forefront of new technology, helping founders and their companies impact and change the world.

The Role

We are seeking a Financial Analytics Engineer on the Fund Strategy team. The primary function of this role is to leverage and further enhance the firm’s data and analytics infrastructure. The Financial Analytics Engineer will play a crucial role on the Fund Strategy team, making an immediate impact by leveraging data to drive the team’s focus on new fund planning, optimizing fund and portfolio construction, strategizing distribution or recycling of public holdings and conducting post-deployment analysis to enhance future fund deployment strategies. The ideal candidate will have a strong background in data architecture, data warehousing, and building data models, with a focus on ensuring the reliability and efficiency of our team’s data systems. Experience in venture capital or financial sectors, particularly in growth equity, is highly desired along with experience programmatically working with LLMs.

To join our team you should be excited to:

• Understand how the team’s financial data analysis drives strategic decision-making in fund management areas such as investment tracking and analysis, portfolio construction, follow-on investing trends, and fund performance tracking. Provide real-time performance data to investor relations and business unit teams
• Design, build, and maintain scalable data pipelines to support financial data integration, transformation, and storage, with technologies such as Fivetran, DBT, Databricks and Hex
• Collaborate on the development of text and SQL based LLM solutions for internal stakeholders
• Work with the central data and analytics team to ensure seamless data operations. Design and manage data pipelines that will be used by fund management, conforming to the firm's data infrastructure
• Collaborate closely with the central team to ensure information feeds into the firm's central data lake, maintain proper access controls and usability for the data, and Implement robust user permissioning and data access management processes
• Collaborate closely with cross-functional stakeholders across the firm and assist with data/automation projects that may arise

Minimum Qualifications

• Minimum of 6 years of Data/Analytics engineering experience
• Experience in venture capital or financial sectors, particularly in growth equity, is highly desired
• Bachelor’s degree (or equivalent work experience) in Computer Science, Information Technology, or a related field
• Strong proficiency in Python and SQL with experience in relational databases (e.g., BigQuery, PostgreSQL) or Apache Iceberg/Delta Lakes
• Familiarity with cloud data platforms (e.g., Databricks, Hex, Snowflake) is preferred
• Proven track record showcasing a robust team orientation and the capacity to collaborate effectively with cross-functional teams
• Strong problem-solving skills and the ability to work independently and as part of a team
• Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders
• Dedicated team player willing to wear multiple hats
• Strong personal drive and integrity
• Low ego, high empathy, and the capacity to collaborate effectively with diverse teams
• This role requires an in-office presence 1-2 days a week in our Menlo Park or San Francisco office

The anticipated salary range for this role is between $225,000 - $263,000, actual starting pay may vary based on a range of factors which can include experience, skills, and scope.

This role is eligible to participate in the a16z Carry program and various discretionary bonus programs as well as benefit and perquisite plans including health, dental, vision, disability, life insurance, 401K plan, vacation, and sick leave.