Senior Finance Analytics Engineer
- San Francisco, United States
- Senior Level
- 5+ years
- Bachelor's degree
- Posted
Skills
Required
- Analytics
- automation
- tooling
- data pipelines
- CI/CD practices
- version control
- Git
- production data pipelines
- command-line tooling
- workflow automation
- Python
- SQL
Preferred
- ETL/ELT
- enabling data-driven decision-making
- Airflow
- Docker
- BigQuery
- S3
Join Faire, a rapidly growing marketplace, as a Senior Finance Analytics Engineer. In this role, you will be responsible for building and maintaining systems, pipelines, and data models that drive financial performance and business insights. You will collaborate with various functional groups, including Accounting, Finance & Strategy, Engineering, and Data Infrastructure. Your work will have a significant impact on the company's ability to use data effectively for reporting and decision-making.
Leading initiatives to drive data strategy, roadmap planning, and prioritization, ensuring alignment with business objectives, and acting as a thought leader who expands the team's influence and impact throughout Finance and the broader organization.
Passionate about the potential of Generative AI to improve team leverage and productivity
Responsibilities
- Conception, design, construction, and maintenance of complex ETL/ELT pipelines that aggregate and synthesize key business performance metrics and financial reporting.
- Acting as a trusted analytical and technical partner to the Accounting and Finance teams, gathering requirements, providing technical expertise, and enabling data-driven decision-making.
- The ideal candidate will ensure key accounting procedures are automated in ways that are accurate, efficient, easy to understand, and scalable
- Proven ability to design and maintain production-grade ETL/ELT workflows, including experience with analytics workflow tools (e.g., Airflow, Docker, dbt), data warehousing (e.g., Snowflake, BigQuery, Redshift, S3), and data visualization tools (e.g., Mode, Tableau, Looker)
Requirements
- Comfortable working with CI/CD practices and version control (Git) for production data pipelines, including command-line tooling for workflow automation
- Strong communication and collaboration skills for working with both technical and business partners
- Working proficiency in Python (or a similar language) for pipeline development, automation, and tooling
- 5+ years of work experience in Analytics Engineering, Business Intelligence, Data Analytics, or a comparable function
- Expert in SQL, with a focus on data modeling, large-scale data processing, and tool development for analytics or financial use cases
- Familiarity with Faire's data stack & systems, and experience with marketplace or transactional business models
- Experience with monitoring and alerting systems for data pipelines
- Experience supporting SOX compliance requirements (e.g., controls, audit trails, change management) in a data or finance systems context
- BA/BS degree, ideally in computer science, math, or another quantitative field
Preferred
- Finance or accounting experience — or experience supporting Finance/Accounting teams and building the pipelines behind financial reporting
Pay
USD 174,500 - 240,000
