Internship-Commercial Intelligence Analyst

Arclin•Alpharetta, GA

3d•Remote

About The Position

The Commercial Intelligence Analyst Intern will help Arclin build a robust, repeatable, and sustainable reporting system that tracks and interprets competitive products entering North America from global manufacturers across Arclin’s engaged markets—particularly those aligned with our own product portfolio. This work will enable data-informed commercial decisions and visibility for leadership and cross-functional partners. This role is within our Specialized Materials Department. This can be a remote opportunity-given the right candidate.

Requirements

Pursuing a Bachelor’s or Master’s degree in Business, Economics, Data Analytics, Supply Chain, Industrial Engineering, Marketing Analytics, or a related field.
Proficiency with spreadsheets (Excel or Google Sheets) and comfort working with datasets.
Proficiency with AI tools including Claude
Strong analytical, problem-solving, and documentation skills; ability to translate findings into actionable insights for non-technical stakeholders.
Clear written and verbal communication; collaborative working style.

Nice To Haves

Experience with data visualization tools (e.g., Power BI, Tableau, or similar) and/or basic SQL.
Familiarity with competitive intelligence, trade/import data, industry market research, or secondary research techniques.
Exposure to building reporting pipelines, dashboards, or KPI frameworks.

Responsibilities

Identify, evaluate, and document data sources (public, third-party, and internal) relevant to global competitor products moving into North America in Arclin’s markets.
Design and pilot a repeatable reporting framework (data intake, transformation, quality checks, outputs) that can be sustained by the business post-internship.
Build dashboards and/or scheduled reports that surface trends, volumes, and competitive signals; prepare concise readouts for leadership.
Partner with the Specialized Materials team and mentor to validate assumptions, align metrics, and iterate deliverables.
Document methodology, data dictionaries, and maintenance SOPs to ensure long-term sustainability. As it relates to repeatable and sustainable reporting systems.