Note: The job is a remote job and is open to candidates in USA. Elios AI is a fully remote insurance and risk-advisory consulting firm seeking an AI Data Analyst. The role involves ensuring data integrity for AI applications, managing analytics assets, and collaborating with various teams to drive data adoption.
Responsibilities
- Own the regular analytics and reporting the firm and its AI applications run on, building new views when a team needs them and retiring the ones nobody trusts
- Chase down numbers that look off before anyone else notices, then explain plainly what went wrong
- Hold the line on definitions, so "active client" means one thing across every analytics asset
- Turn a fuzzy question from a team lead into a number people believe, and stay honest about what the data can and cannot say
- Sit with operations, finance, and the client-facing crew to drive adoption of the data layer one person at a time
- Learn the pipelines and warehouse models over your first year and start extending them yourself
Skills
- 0 to 2 years working with data, or a strong first move from consulting, professional services, or a customer-facing role
- SQL fluency: comfortable writing queries, joining tables, and reasoning about data. This is the one technical must-have
- A feel for data quality and how messy real data actually gets
- Evidence you have used AI in earnest already, whether that is ChatGPT, Claude, or an automation you built yourself
- Eagerness to learn dbt, warehouse modeling, and how pipelines fit together
- BI experience in Tableau, Power BI, or Looker
- Exposure to dbt, Snowflake, BigQuery, or git
- A little Python
- A consulting or professional-services background
Company Overview