Analytics Engineer (Finance)

TL;DR

Analytics Engineer (Finance): Building internal data products that scale analytics across business teams and drive efficiencies in daily operations with an accent on financial and transactional data. Focus on delivering business impact and cultivating a mature data culture among Finance teams.

Location: Based in San Francisco, CA. Hybrid work model of 3 days in the office per week. Offers relocation assistance to new employees.

Salary: $220K – $270K + Offers Equity

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

• Understand the data needs of Finance teams and translate that scope into technical requirements.
• Facilitate the development of data products and tools to enable analytics to scale across the company.
• Lead dimensional design and maintain business-facing data marts.
• Uphold high data integrity standards and SLAs for the timely delivery of data.
• Build and maintain insightful and reliable dashboards to track operational and financial metrics.
• Contribute to the future roadmap of the Finance team from a data systems perspective.

Requirements

• 7+ years of experience as an Analytics 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 and comfort in at least one functional/OOP language such as Python or R.
• Familiarity with managing distributed data stores and experience building multi-step ETL jobs coupled with orchestrating workflows.
• Experience in writing unit tests to validate data products and version control.
• Expert at creating compelling data visualizations with dashboarding tools.

Nice to have

• Prior experience leading the development of an internal production tool, serving hundreds of cross-functional customers.
• Some frontend experience with React, TypeScript, Retool, or Streamlit.
• Good understanding of Spark and ability to write, debug, and optimize Spark jobs.

Culture & Benefits

• AI is an extremely powerful tool that must be created with safety and human needs at its core.
• Committed to providing reasonable accommodations to applicants with disabilities.
• We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.