Applied Data Analytics Intern (Summer 2026)

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

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About this role

Applied Data Analytics Intern (Summer 2026) Syracuse, NY, US Position Description At a Glance Legrand has an exciting opportunity for an Applied Data Analytics Intern to join the Pass and Seymour Team . This summer internship is a great opportunity for a student who enjoys working with data and wants to see how analytics is actually used inside a real business.You'll work alongside experienced professionals on our Revenue Operations and Analytics team, supporting real initiatives using data, modeling, automation, and basic coding. Rather than fixed or predefined projects, you'll contribute to the active queue of projects the department is working through, gaining exposure to a variety of analytics use cases over the course of the summer.This is not a classroom exercise or hypothetical case study. The work you do will support real teams and real decisions. What Will You Do? Assisting with the development or enhancement of reports and dashboards Supporting data modeling efforts that improve reporting and analysis Writing or modifying basic queries or scripts to support analytics work Exploring automation opportunities that help reduce manual processes Your responsibilities will evolve over the summer as you gain experience and confidence. What You'll Get Out of It Hands-on, on-the-job training using real company data Autonomy and flexibility to lean into your personal strengths and interests A clear understanding of how applied data analytics creates value inside a large organization Exposure to how data turns into insights that leaders

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