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interos.ai · 1 week ago

Data Analyst

United States

Full-time

Remote

New Grad, Entry Level

$72K/yr - $110K/yr

0+ years exp

Interos.ai is defining the category of supply chain risk intelligence, building the world’s most trusted and transparent supply chains. They are seeking a highly motivated Data Analyst to support their Corporate Marketing and PR/Communications teams by conducting trend analyses and transforming risk intelligence data into market-facing insights.

Artificial Intelligence (AI)Cyber SecurityMachine LearningRisk ManagementSaaSSupply Chain Management

No H1B

Responsibilities

Run daily and ad-hoc SQL data pulls for Corporate Marketing, PR/Comms, and Demand Generation, including fast-turn requests for press stories and inbound media queries

Identify and analyze trends within interos.ai platform data to support blogs, reports, slides, social content, and industry narratives

Support stakeholders with custom insights for decks, articles, speaking opportunities, and general PR/ marketing needs

Create visualizations, charts, and data summaries using SQL, Python, Excel, and/or Tableau

Build simple, repeatable scripts and templates to scale recurring insights production, including charts, data points, and narrative commentary

Partner with PR/Comms to create data-backed stories aligned to current events, industry activity, and seasonal topics

Combine interos.ai data with external research and news to add context for supply chain and risk-related insights

Maintain a centralized repository of datasets, queries, and recurring workflows

Ensure all externally facing data is accurate, consistent, and aligned with company messaging and standards

Collaborate with Applied AI and Data Science teams to confirm data definitions and provide platform context

Qualification

SQLData visualizationPythonData cleaningCommunication skills

Required

Bachelor's degree in a quantitative, analytical, or social-science discipline (economics, statistics, political science, public policy, finance, data science, etc.) or equivalent experience

Proficiency in SQL for data extraction, filtering, and analysis

0-5 years experience as a Data Analyst

Strong skills in data cleaning, validation, and visualization

Ability to translate analytical findings into clear, digestible insights for non-technical audience

High attention to detail and commitment to accuracy

Strong written and verbal communication skills

Great customer service and professionalism to support executive needs

Curiosity about supply chain dynamics, economics, geopolitical risk, and emerging trends

Ability to work collaboratively with Marketing, PR, and Sales teams

Self-starter mentality with the ability to manage multiple projects in a fast-paced environment

Embodies a hungry, humble, and smart mindset: always learning, collaborating, and executing