We’re seeking a highly motivated Data Analyst to support interos.ai’s Corporate Marketing and PR/Communications teams by running data pulls, conducting trend analyses, and transforming our risk intelligence data into clear, market-facing insights.
This role provides executive stakeholders with a dedicated analytics resource, and sits alongside and collaborates closely with the Applied AI and Insights teams. You will deliver fast-turn, accurate, and visually compelling data assets for blogs, PR stories, media coverage, presentations, reports, and customer-facing materials while getting executive exposure and visibility.
This position is ideal for an early-career analyst or recent graduate who is eager to grow and gain exposure to the power of data-backed storytelling. We’re looking for someone excited about working with data to help external audiences understand global supply chain risk while providing top-tier customer experience for internal stakeholders.
What you will do
- 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
What you bring
- 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
- Familiarity with Python or visualization tools (Tableau, matplotlib, etc.) is a plus.
- 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