Senior Analytics Engineer
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Job Description
Senior Analytics Engineer building scalable data transformations for Aleph's AI-native FP&A platform. Improving data integrity, pipelines, and models across diverse financial and operational sources.
Responsibilities:
- Own how client-facing data transformations are built faster, better, and more scalably as integrations and customers grow
- Determine where and how to leverage AI to accelerate, improve, and document transformation work
- Design and evolve data integrity tests with Engineering and Customer Success
- Partner with Customer Success to understand data and reporting needs
- Troubleshoot data issues and build robust transformations across many sources
- Refactor and optimize critical models and pipelines
- Define patterns and conventions for other team members
- Improve code quality, data integrity, team processes, and developer experience
- Collaborate with Engineering, Customer Success, and stakeholders
- Coach others and contribute to hiring and onboarding
Requirements:
- Track record of owning transformation pipelines over financial or operational data end to end, from source integration through production-ready models
- Experience working with financial data is a plus
- Strong SQL
- Experience with dbt or similar
- Comfort with version control, testing, and deployment
- Ability to reason about data from source to consumption and make sound technical decisions across the pipeline
- Ability to drive standards, support great practices, and shape architectural decisions
- Ability to handle ambiguity independently
- Strong focus on code quality and data integrity
- Experience building reliable, performant, and well-documented transformation layers
- Clear, direct, and persuasive communication with technical and non-technical audiences
- Experience upleveling teams, coaching others, and contributing to hiring and onboarding
- Familiarity with or ability to quickly learn Python, BigQuery, Airbyte, Fivetran, Merge, Datadog, Git, and CI/CD for dbt
- Must be located in North or South America
- US-based applicants must address employment visa sponsorship requirements
Benefits:
- Equity
- Flexible hours
- Unlimited PTO
- Regular, in-person retreats
- Provided MacBook Pro or Lenovo
- Health insurance (US and CAN employees)
- 401(k) (US employees)
- RRSP (CAN employees)
- Fully remote in the US, CAN, and LATAM
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