Data & Content Intelligence Intern at Thndr

Cairo, Cairo, Egypt -

Full Time

Start Date

Immediate

Expiry Date

15 Aug, 26

Salary

0.0

Posted On

17 May, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Data Analysis, API Integration, Machine Learning, NLP, Google Sheets, Excel, Data Cleaning, Data Visualization, Content Strategy, Analytical Thinking

Industry

Financial Services

Description

About The Role We are looking for a Data & Content Intelligence Intern to help us turn user data into better content decisions. This role sits at the intersection of data analysis, automation, user insight, and content strategy. You will work with data from tools like Superset, Intercom, Braze, Google Sheets, APIs, and internal systems to help us understand what users are asking, where they are getting stuck, what they misunderstand, and which content gaps we need to solve next. You will use tools like SQL, Python, Sheets, APIs, and basic ML/NLP techniques to clean, analyze, classify, and structure data into insights the content team can actually act on. The goal is simple: help us create smarter, more useful, more data-driven content based on real user behavior. What You'll Do 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. 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. Who Are We? Thndr was founded on a bold dream to democratize access to investing through smart tech and human-centric design. This is simply our way of saying we give anyone with a smartphone the simple and easy access they need to preserve and grow their wealth. At the same time, we’re shaping the future of investing while actively driving the economies we serve by promoting local investment products. History has shown that investing is the single greatest way to build long-term wealth, but before Thndr, only a very small percentage of people had access to it due to: High barriers to entry — In the form of excessive minimum account balances, complex, outdated onboarding, and low financial literacy. Irrelevant experience — Catered toward expert traders and financial specialists, therefore alienating the majority of the population. Fragmented offering — Investment products were not gathered in a single, intuitive outlet. We don't just talk about change, we deliver it. Here's a glimpse into our impact so far: 5.5 million app downloads EGP 1B+ average daily traded value across 2025 #1 digital investing platform in Egypt for the third consecutive year 76% of users are first-time investors 40% of our users come from outside of capital cities and have previously had limited access to financial institutions Building on the success of our core platform, we are continuing to change culture and break down barriers by launching Rumble, the subscription-based investment recommendations platform. Rumble was born with the vision to empower everyday individuals to build wealth confidently and intelligently through access to timely and in-depth advice from the industry’s top experts. Going beyond traditional investment advice, it offers long and short-term investment recommendations and financial content through engaging articles and videos that guide users on their financial journey and maximize their returns. At Thndr, we're looking for people driven by our mission to help us democratize investing across the MENA region.

Responsibilities

The intern will analyze user data from various tools to identify content gaps and user pain points. They will use SQL, Python, and NLP techniques to turn raw data into actionable insights for the content team.