Global Social Media Data Analytics and AI Integration Intern - summer 2026

USA (Hybrid)

Salary Not AvailableIntern/New GradFull time

Posted 3 months ago

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Job Summary

Support AI-powered social analytics by building API connections, transforming data, and delivering data-driven dashboards.

  • Assist in building and automating API connections for social data integration with AI APIs and dashboards.
  • Proficiency in Python or JavaScript and SQL for data querying and transformation.
  • Hands-on work with LLMs, AI integrations, and prompt validation.

Job Description

Responsibilities

  • Assist in building and automating API connections to integrate social data sources (e.g., reporting tools) with AI APIs and visualization platforms like DOMO or Power BI.
  • Perform data transformation, cleaning, and querying with SQL to prepare datasets for AI-powered contextual analysis on content and creatives.
  • Develop interactive dashboard elements that allow users to query data and receive AI-generated guidance for decision-making.
  • Collaborate on analyzing organic and paid social media performance metrics to derive insights and support global strategies.
  • Hands on work with LLM’s and AIintegrations, prompt structuring, response validation.
  • Contribute todocumentation and presentations of project findings for the team.

Requirements

  • Currently pursuing a Bachelor's orMaster's degree in Management Information Systems(MIS), Business Information Systems (BIS), Computer Information Systems (CIS), Data Science, or a related field.
  • Basic proficiency in Pythonand/orJavascriptfor scripting and API integrations, and SQL for data querying and manipulation.
  • Familiarity with data visualization tools (e.g., Power BI, DOMO) and a general understanding of AI APIs for analysis.
  • Experience with agenticAIautomation andorchestration, especially with autonomous workflows
  • Experience withAIprompt structuring and validation.
  • Strong analytical mindset with the ability to handle data structures and perform basic transformations.
  • Excellent communication skills and a collaborative team player.
  • Authorization to work in [relevant country] without sponsorship.

Preferred

  • Experience with API connections or automation projects (e.g., via personal or academic work).
  • Knowledge of social media analytics or business intelligence concepts.
  • Comfort using AI tools for data insights and reporting.
  • Prior internship or coursework in analytics, data processing, or information systems.
  • Experience in Microsoft CoPilot Studio is a nice-to-have.
  • Experience Developing Visualizations and Apps within DOMO is a plus.

Benefits

  • Hands-on experience in a global tech environment with mentorship from industry experts.
  • Opportunities to work on impactful projects that blend analytics and AI.
  • A collaborative, inclusive culture at Lenovo.
Lenovo logo

Lenovo

3.9 Glassdoor

Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). To find out more visit https://www.lenovo.com, and read about the latest news via our StoryHub at https://news.lenovo.com/.To learn more about our career opportunities, visit our careers page at http://jobs.lenovo.com/.

Founded in 1984
Morrisville, North Carolina, USA
45K employees (2,969 in marketing)
79% recommend to a friend
86% CEO approval

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Headcount Trend

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Marketing Team

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Funding

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Post IPO Debt, 1 years ago

Funding History

  • Jan 2025
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    Post IPO Debt • $500M
  • Oct 2017
    Post IPO Equity • $500M

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