FREE ACCESS
5,000–10,000 jobs/day

See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Data Analysis: Collect, clean, and analyze data from Superset, Intercom, Braze, Google Sheets, internal tools, and other data sources to uncover user behavior, content gaps, and recurring questions.
- SQL & Reporting: Write SQL queries, work with dashboards, and build structured trackers that help the content team understand what users are asking, where they are getting stuck, and which topics need better content.
- Python & Automation: Use Python to clean messy datasets, merge data, automate repetitive tasks, write scripts, and prepare data for deeper analysis.
- API Integration: Make API calls to pull data from different platforms and support lightweight workflows that keep content insights updated.
- Machine Learning & Classification: 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.
- Data Workflows: Work with the Data Engineering team to define, connect, and refresh the data sources needed for recurring content intelligence reports.
- Insight Generation: Turn raw data into clear recommendations that help us decide what content to create, rewrite, prioritize, or test next.
- Documentation: Document your analysis, workflows, assumptions, and recurring reports so the team can reuse and build on your work.
- Collaboration: Work closely with Content, CX, Growth, Product, and Data teams to connect user insight with better education, support, and communication.
Requirements
What you’ll need- Senior year student or recent graduate in Data Science, Computer Science, Engineering, Business Analytics, Economics, Statistics, or a related field.
- Strong Google Sheets or Excel skills, including formulas, lookups, pivot tables, cleaning, and structured reporting.
- Good SQL skills and comfort extracting data from databases or dashboards.
- Basic Python scripting ability for cleaning, automation, data analysis, and working with files or APIs.
- Ability to work with APIs and technical documentation, even if you are still learning.
- Familiarity with basic machine learning or NLP concepts such as clustering, classification, tagging, or text analysis.
- Comfort working with messy, incomplete, or unstructured datasets.
- Strong analytical thinking and the ability to turn data into clear insights, not just numbers.
- Curiosity about user behavior, content, product journeys, and how people search, ask, misunderstand, or get stuck.
- Ability to communicate findings clearly to non-technical teams.
- Bonus: Experience with Superset, Intercom, Braze, CRM data, customer support data, product analytics, or content performance analysis.
Benefits
Comp & perks- 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Thndr Website LinkedIn All Job Openings 51 - 200 employees Founded 2020 💳 Fintech 💸 Finance 👥 B2C Fintech
- Finance
- B2C Thndr is a consumer-focused investment platform and mobile app that makes it easy to invest in Egyptian and U. S. securities, gold, and mutual funds. Licensed and regulated for Egyptian trading by the Financial Regulatory Authority and operating U. S. trading via a partner broker, Thndr offers quick account opening, multiple funding methods (bank transfer, instant pay, mobile cash, debit card), educational resources, an investing simulator, and managed funds. The platform targets retail investors in Egypt and emphasizes ease-of-use, security, and community engagement, claiming millions of users. Data & Content Intelligence Intern 🔥 46 minutes ago 🏢🏡 Cairo – Hybrid 👨🎓 Internship ⚪️ Entry-level ✍️ Content Marketing Manager Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
- Data Analysis: Collect, clean, and analyze data from Superset, Intercom, Braze, Google Sheets, internal tools, and other data sources to uncover user behavior, content gaps, and recurring questions.
- SQL & Reporting: Write SQL queries, work with dashboards, and build structured trackers that help the content team understand what users are asking, where they are getting stuck, and which topics need better content.
- Python & Automation: Use Python to clean messy datasets, merge data, automate repetitive tasks, write scripts, and prepare data for deeper analysis.
- API Integration: Make API calls to pull data from different platforms and support lightweight workflows that keep content insights updated.
- Machine Learning & Classification: 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.
- Data Workflows: Work with the Data Engineering team to define, connect, and refresh the data sources needed for recurring content intelligence reports.
- Insight Generation: Turn raw data into clear recommendations that help us decide what content to create, rewrite, prioritize, or test next.
- Documentation: Document your analysis, workflows, assumptions, and recurring reports so the team can reuse and build on your work.
- Collaboration: Work closely with Content, CX, Growth, Product, and Data teams to connect user insight with better education, support, and communication. 🎯 Requirements
- Senior year student or recent graduate in Data Science, Computer Science, Engineering, Business Analytics, Economics, Statistics, or a related field.
- Strong Google Sheets or Excel skills, including formulas, lookups, pivot tables, cleaning, and structured reporting.
- Good SQL skills and comfort extracting data from databases or dashboards.
- Basic Python scripting ability for cleaning, automation, data analysis, and working with files or APIs.
- Ability to work with APIs and technical documentation, even if you are still learning.
- Familiarity with basic machine learning or NLP concepts such as clustering, classification, tagging, or text analysis.
- Comfort working with messy, incomplete, or unstructured datasets.
- Strong analytical thinking and the ability to turn data into clear insights, not just numbers.
- Curiosity about user behavior, content, product journeys, and how people search, ask, misunderstand, or get stuck.
- Ability to communicate findings clearly to non-technical teams.
- Bonus: Experience with Superset, Intercom, Braze, CRM data, customer support data, product analytics, or content performance analysis. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLPythonData AnalysisMachine LearningNatural Language ProcessingData CleaningData AutomationAPI IntegrationData ReportingData Visualization
Soft Skills
Analytical ThinkingCuriosityCommunicationCollaborationDocumentation
