Support data analysis and reporting: clean, aggregate, and visualize commercial and sales performance data to identify trends and opportunities.
Maintain and improve data pipelines and dashboards using tools such as Excel, SQL, and visualization platforms.
Assist with sales force projects that incorporate AI-driven solutions — from data preparation and model evaluation to operationalizing insights for field teams.
Provide day-to-day data support and ad-hoc analyses to the commercial team and field stakeholders.
Contribute to communication strategy and execution: help develop clear, audience-tailored materials (presentations, one-pagers, briefings) that translate analytics into actionable guidance.
Coordinate with stakeholders to gather requirements, prioritize requests, and ensure timely delivery of analyses and materials.

Requirements

Must be a current student enrolled or recently graduated (graduation date no earlier than April 2026) at/from an accredited college or university pursuing at least a bachelor’s degree
A completed or in progress undergraduate degree in Business Administration, Marketing, Business Analytics, Data Science, Economics, Computer Science or a related discipline preferred
Preferred class year of a junior or senior
Strong academic record with a preferred cumulative GPA of 3.0 or higher
Conscientious self-starter with good organizational skills, project management skills and attention to detail
Ability to balance multiple projects and priorities, must be able to multi-task
Strong interpersonal communication and ability to collaborate with teams; must effectively operate independently, across functional lines, and with internal customers
Demonstrated personal initiative, self-motivation, flexibility, adaptability and willingness to learn
Proficient in Microsoft Office Tools including Word, Excel, PowerPoint, etc.

Benefits

No paid time off unless otherwise required by applicable law

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analysisdata visualizationdata cleaningdata aggregationSQLAI-driven solutionsdata preparationmodel evaluationproject managementattention to detail

Soft Skills

organizational skillsinterpersonal communicationcollaborationself-starterflexibilityadaptabilitywillingness to learnmulti-taskingpersonal initiativeself-motivation