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Marketing Intern - Data, AI & Market Intelligence (Revenue Marketing Operations)

Hearst

Marketing Intern - Data, AI & Market Intelligence (Revenue Marketing Operations)

Hearst

Troy, MI, United States, US

·

On-site

·

Internship

·

1w ago

MOTOR Information Systems is seeking a highly analytical, curious, tech-forward Marketing Intern to support our Revenue Marketing Operations team at the intersection of data analytics, AI, and target market intelligence. You’ll work closely with marketing leadership to support market segmentation, account identification, data enrichment, AI-assisted analysis, and go-to-market insights that influence real revenue outcomes.

Summer 2026 | 11 weeks | 35 hours/week | $20/hour | On-site/Hybrid

Required

  • Currently pursuing a degree in Marketing, Business Analytics, Data Science, Information Systems, Economics, or a related field.

  • Strong analytical mindset; comfortable working with spreadsheets and structured data.

  • Interest in AI, automation, and data-driven decision making.

  • Strong written and verbal communication skills.

Preferred

  • Familiarity with Excel/Sheets, Hub Spot, Salesforce, and/or BI tools.

  • Exposure to AI tools (e.g., ChatGPT) and enrichment/automation workflows.

  • Interest in B2B, SaaS, or automotive/technology industries.

Support & structure

  • Direct mentorship and weekly check-ins.

  • Clear milestones and defined deliverables.

  • Final presentation or summary of outcomes at the end of the internship.

Market & Account Intelligence

  • Support target market segmentation across automotive industry segments using Zoom Info and enrichment workflows in Clay.

  • Help refine ICP and buyer personas using structured data and behavioral signals.

  • Identify and prioritize high-value target accounts through modeling, enrichment, and validation.

Data Analytics & Insights

  • Analyze marketing and sales data in Hub Spot and Salesforce to spot trends and growth opportunities.

  • Support reporting on lead quality, pipeline contribution, and campaign performance.

  • Assist with data normalization and validation across CRM and marketing platforms to improve accuracy.

AI & Automation Support

  • Use AI tools for enrichment, research, summarization, and classification.

  • Assist with AI-driven workflows for market research and account analysis (including Clay-based automation).

  • Help document and improve repeatable AI-assisted marketing processes.

Revenue Marketing Operations

  • Support CRM data hygiene, segmentation logic, and campaign readiness across Hub Spot and Salesforce.

  • Collaborate with demand generation and sales enablement on go-to-market initiatives.

  • Help prep insights for executive dashboards, reporting, and leadership presentations.

What you’ll gain

  • Hands-on experience in how data and AI power modern revenue marketing.

  • Exposure to enterprise platforms including Zoom Info, Clay, Hub Spot, and Salesforce.

  • Portfolio-ready deliverables (segmentation outputs, insights summaries, process documentation, and reporting).

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About Hearst

Hearst

Hearst

Public

Hearst Corporation, Hearst Holdings Inc. and Hearst Communications Inc. is an American multinational mass media and business information conglomerate owned by the Hearst family and based in Hearst Tower in Midtown Manhattan in New York City.

10,001+

Employees

New York

Headquarters

Reviews

3.7

16 reviews

Work Life Balance

3.5

Compensation

3.9

Culture

3.8

Career

3.8

Management

3.4

73%

Recommend to a Friend

Pros

Good work-life balance and flexible environment

Interesting projects and challenges

Competitive compensation and benefits

Cons

Some organizational bureaucracy

Room for improvement in processes

Work-life balance varies by team

Salary Ranges

31 data points

Junior/L3

Mid/L4

Junior/L3 · Financial Analyst

0 reports

$70,350

total / year

Base

$70,350

Stock

-

Bonus

-

$59,798

$80,903

Interview Experience

45 interviews

Difficulty

3.1

/ 5

Duration

14-28 weeks

Offer Rate

38%

Experience

Positive 61%

Neutral 20%

Negative 19%

Interview Process

1

Phone Screen

2

Technical Interview

3

Hiring Manager

4

Team Fit

Common Questions

Technical skills

Past experience

Team collaboration

Problem solving