Partner 20, Financial Analytics Engineer

$225,000 - $263,000/Yr

A16z Andre - San Francisco, CA

Full-time - Mid Level

San Francisco, CA

About the position

Partner 20, Financial Analytics Engineer at Andreessen Horowitz is a pivotal role within the Fund Strategy team, focusing on enhancing the firm's data and analytics infrastructure. The primary responsibility of this position is to leverage data to drive strategic decision-making in fund management, including investment tracking, portfolio construction, and fund performance analysis. The Financial Analytics Engineer will be instrumental in optimizing fund and portfolio construction, strategizing the distribution or recycling of public holdings, and conducting post-deployment analysis to refine future fund deployment strategies. The ideal candidate will possess a robust background in data architecture, data warehousing, and data modeling, ensuring the reliability and efficiency of the team's data systems. This role requires a minimum of 6 years of experience in Data/Analytics engineering, with a strong preference for candidates who have worked in venture capital or financial sectors, particularly in growth equity. Familiarity with programmatically working with large language models (LLMs) is also highly desired. In this role, you will be expected to design, build, and maintain scalable data pipelines to support financial data integration, transformation, and storage using technologies such as Fivetran, DBT, Databricks, and Hex. Collaboration with the central data and analytics team is essential to ensure seamless data operations and proper access controls. You will also work closely with cross-functional stakeholders to assist with various data and automation projects that may arise, making this a dynamic and impactful position within the firm.

Responsibilities

• Leverage data to drive strategic decision-making in fund management areas such as investment tracking and analysis, portfolio construction, 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.
• 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.
• 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.

Requirements

• 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.

Nice-to-haves

• Experience programmatically working with large language models (LLMs).

Benefits

• 401(k)
• Dental insurance
• Disability insurance
• Life insurance
• Vision insurance