Remote AI Data Analyst: Build Trusted Analytics & Models

Elios, Inc.; United States; On-site; USD 70,000 - 95,000; Full time

Job summary

Elios, Inc. is seeking an AI Data Analyst to own analytics assets and data hygiene for its AI applications. The role is junior to early-career, fully remote across the US, and focuses on building trust in data and preventing incorrect outputs from eroding confidence.

You will collaborate with operations, finance, and client teams, manage regular analytics, and gradually take over pipelines and data models while learning the ins and outs of the data ecosystem and gaining seniority with time.

Qualifications

• SQL fluency is required and data quality awareness.
• Interest in learning dbt, warehouse modeling and pipelines.
• Strong communication and ability to explain data clearly.
• Experience with AI tools or engagement is a plus.

Responsibilities

• Be the day-to-day person in the building, working closely with operations, finance, and client-facing teams, driving adoption one person at a time, and earning the trust that gets people to use the system instead of working around it.
• Own the regular analytics and reporting the firm and its AI applications run on.
• Build new views when teams need them, and retire the ones nobody trusts.
• Spot drift early. If a number looks off, you'll chase it down without waiting to be asked and get it fixed.
• Protect core definitions so terms like active client mean the same across analytics assets.
• Turn a fuzzy business question into a number people can believe, and explain what the data can and can't say.
• Gradually take over the initial pipelines and data models, learning how they work, extending them, and escalating cleanly to the internal lead when something is beyond your scope.

Skills

SQL

Python

Analytical thinking

Communication

Tools

Tableau

Power BI

Looker

dbt

Snowflake

BigQuery

Redshift

Git

Job description

Elios, Inc. is seeking an AI Data Analyst to own analytics assets and data hygiene for its AI applications. The role is junior to early-career, fully remote across the US, and focuses on building trust in data and preventing incorrect outputs from eroding confidence.

You will collaborate with operations, finance, and client teams, manage regular analytics, and gradually take over pipelines and data models while learning the ins and outs of the data ecosystem and gaining seniority with time.