Remote AI Data Analyst — Build the Brand-Impact Engine

Nutrike; United States; Remote; USD 90,000 - 120,000; Full time

Benefits offered by this job

Remote-first

Async-first culture

Impactful work

Job summary

Nutrike, a remote-first analytics startup, seeks a data-focused contributor to build the consumer-signal engine and translate public data into ranked opportunities for the founders.

You will design LLM-assisted pipelines for research, classification and quality control, and define the metrics that decide which brands succeed. Strong SQL and Python are essential; experience with LLM APIs is a plus.

We value clarity of writing and a skeptical, data-driven mind in a founder-led team.

Qualifications

• 2+ years in analytics, data science or growth.
• Strong SQL and Python; comfortable calling LLM APIs and honestly evaluating their output.
• A skeptical mind: you check the data before believing it and label your confidence.
• You write clearly. Analysis nobody understands is analysis nobody uses.
• Bonus: scraping and pipeline orchestration experience.

Responsibilities

• Build and run the consumer-signal engine: what people ask, complain about and wish existed across the wellness market.
• Turn messy public data into ranked opportunities the founders act on directly.
• Design LLM-assisted pipelines for research, classification and quality control.
• Define the metrics that decide which brands live: demand, competition, unit economics.
• Automate reporting until it runs without you, then build the next thing.

Skills

SQL

Python

Critical thinking

Tools

LLM APIs

Job description

Nutrike, a remote-first analytics startup, seeks a data-focused contributor to build the consumer-signal engine and translate public data into ranked opportunities for the founders.

You will design LLM-assisted pipelines for research, classification and quality control, and define the metrics that decide which brands succeed. Strong SQL and Python are essential; experience with LLM APIs is a plus.

We value clarity of writing and a skeptical, data-driven mind in a founder-led team.