Data & Content Intelligence Intern will help turn user data into better content decisions, working with data analysis, automation, user insight, and content strategy. The role sits at the intersection of data analysis, automation, user insight, and content strategy, and the goal is to create smarter, more useful, more data-driven content based on real user behavior.
Requirements
- Collect, clean, and analyze data from Superset, Intercom, Braze, Google Sheets, internal tools, and other data sources
- Write SQL queries, work with dashboards, and build structured trackers
- Use Python to clean messy datasets, merge data, automate repetitive tasks, write scripts, and prepare data for deeper analysis
- Make API calls to pull data from different platforms and support lightweight workflows
- Use basic ML or NLP techniques to cluster and classify user questions, support conversations, search queries, and content gaps by theme, intent, product, or journey stage
- Work with the Data Engineering team to define, connect, and refresh the data sources needed for recurring content intelligence reports
- Turn raw data into clear recommendations that help decide what content to create, rewrite, prioritize, or test next
- Document analysis, workflows, assumptions, and recurring reports so the team can reuse and build on your work
- Collaborate with Content, CX, Growth, Product, and Data teams to connect user insight with better education, support, and communication
Benefits
- Professional development opportunities
- Opportunity to work with a dynamic and growing company
- Chance to make a meaningful impact in the financial industry
Originally posted on Himalayas