Data Evangelist Intern at DataCamp

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

16 Feb, 26

Salary

0.0

Posted On

18 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Collection, Data Analysis, Python, SQL, Web Scraping, Data Cleaning, Data Visualization, Analytical Skills, Problem-Solving, Communication, Data Storytelling, Collaboration, Adaptability, Creativity, Ownership, Transparency

Industry

IT System Training and Support

Description

About DataCamp DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage. About the role At DataCamp, we’re looking for a curious, analytical, and impact-driven individual who thrives in a fast-paced, high-performing environment. You’ll play a key role in transforming data into insights that drive decision-making across the organization. In this role, you’ll collect, organize, and analyze data from multiple sources to uncover meaningful trends and opportunities that shape our strategies and storytelling. You’ll collaborate closely with cross-functional teams, leveraging your technical and analytical skills to automate data-gathering processes, validate findings, and present insights through clear reports, visualizations, and dashboards. Beyond the numbers, you’ll help bring our data to life—contributing to blog posts and content initiatives that showcase DataCamp’s thought leadership in data science and analytics. If you’re someone who’s data-driven, takes ownership, and loves solving complex problems with creativity and rigor, we’d love for you to join us. About you At DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets—you aim to understand the "why" behind our goals and take ownership to drive the business forward. You’re a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply! Responsibilities Conduct data collection and research across multiple sources to support analytical projects. Identify, extract, and integrate relevant datasets from internal and external APIs. Perform web scraping and automate data-gathering processes where applicable. Clean, organize, and validate raw data to ensure accuracy and consistency. Analyze quantitative data to uncover trends, insights, and opportunities. Summarize findings into clear reports, visualizations, or dashboards. Support the creation of blog posts or articles by contributing data-driven insights and visual content. Qualifications Currently pursuing or recently completed a degree in Data Science, Statistics, Computer Science Comfortable working with data — collecting, cleaning, and analyzing it. Experience with Python and/or SQL (bonus if you’ve used APIs or web scraping libraries). Strong analytical and problem-solving skills with a keen eye for detail. Excellent written and verbal communication skills, with an interest in data storytelling. At DataCamp, we value diverse experiences and perspectives. If you’re excited about this role but don't meet every qualification, we still encourage you to apply. We believe skills can be developed and are committed to fostering an inclusive workplace where everyone can thrive. Your unique talents and perspectives are what make our team great

Responsibilities

The intern will conduct data collection and research to support analytical projects, identifying and integrating relevant datasets. They will analyze quantitative data to uncover trends and summarize findings into clear reports and visualizations.