Analytics Engineer
Ternoa is developing a fast, secure, and cost-efficient PayFi network. It is a natively cross-chain, TEE-enhanced zkEVM validium designed to onboard a large number of retail customers into the crypto space.
About Ternoa
Ternoa 2.0 is a natively cross-chain TEE-enhanced zkEVM validium designed to onboard billions of retail customers into crypto. It aims to be a fast, secure, and cost-efficient PayFi network. The network features fast finality with frequent validity proofs for near-instant transactions suitable for payments. Security is enhanced by TEE integrity proofs that provide real-time guarantees against tampering with off-chain components. For cost-efficiency, it posts data on Avail modular DA, which can result in up to 90% savings on gas fees compared to posting directly on Ethereum. It offers a fast network with zkEVM finality and frequent validity proofs for near-instant transactions, suitable for payments. Security is provided through TEE integrity proofs, which give real-time guarantees against tampering with off-chain components to secure user funds. It is also cost-efficient, posting data on Avail modular DA, which leads to up to 90% savings on gas fees compared to posting directly on ETH.
Skills
About the Role
You'll play a key role on the operations team, working across disparate data sources spanning our customer base, customer onboarding, and community intelligence to help us better understand our users and their needs. You'll iteratively refine data and build models to spread data fluency throughout the team, organize datasets, and perform complex transforms using SQL and Python. You'll dig into data to answer questions, teach others how to work with data themselves, and collaborate day to day with business users, designers, product managers, and engineers. Your work will span data ingestion, modeling, analysis, science, and storytelling.
Requirements
- Strong data modeling or integration skills
- Extremely strong coding skills using SQL (100+ lines of complex SQL queries/models) or Python (1k+ lines of OOP scripts)
- Fluency in expressing business processes using models and charts
- 5+ years as an analytics engineer, data analyst, data scientist, data engineer or similar role
- BS in CS/CE, Math, Economics or equivalent technical degree preferred
- Experience a plus: B2B SaaS, dbt, Postgres/Redshift, Fivetran, dlt, dimensional modeling, data engineering, data science (machine learning), LLM/AI
- Candidates who operate in UTC-3 -- UTC-8
Responsibilities
- Iteratively refine data and build models to enable self-service analytics
- Organize datasets and perform complex transforms using SQL and Python
- Dig into data and answer questions
- Teach others on the team how to work with data
- Collaborate day to day with business users, designers, product managers and engineers
- Handle data ingestion, modeling, analysis, science, and storytelling
Benefits
- Meaningful equity
- Fully employer-covered medical, dental, and vision insurance
- 75% coverage for dependents
- 401(k) with employer match available after first 30 days
- Flexible and unlimited paid time off including sick time
- Asynchronous, remote-first environment
- Flexible schedule and work from wherever you want