Breaking into product analytics or customer research often feels circular: companies demand experience, but candidates need a role to gain it. Tongston Entrepreneurship Group addresses this barrier with its remote opening for a Customer Insights, Product Analytics, QA & Impact Graduate Officer.
Tongston is an award-winning brand operating at the intersection of entrepreneurial education, finance, media, and enterprise technology. This entry-friendly role is designed for analytical thinkers eager to turn raw user feedback and QA metrics into actionable product optimizations.
As a Graduate Officer within Tongston's technology and data teams, your daily activities will focus on validating product performance and understanding end-user behavior:
Customer Insights Gathering: Analyzing user behavior signals, feedback surveys, and product usage patterns to uncover pain points.
Quality Assurance (QA) & Testing: Testing web and mobile platform features to ensure bug-free deployment and compliance with product specs.
Impact Evaluation: Gathering qualitative and quantitative evidence to measure how Tongston's tools impact users' entrepreneurial skills.
Reporting & Dashboards: Synthesizing data sets into clear visual summaries for product managers and leadership teams.
Compensation: ₦100,000 – ₦120,000 per month (plus remote productivity support and learning resources).
Experience Level: Accessible to entry-level candidates with as little as 6 months of relevant exposure, including academic capstone projects, hackathon participation, or self-directed data analyses.
Educational Background: Backgrounds in Data Analytics, Statistics, Economics, Computer Science, or Business Administration.
To stand out for this role, submit an application that highlights practical problem-solving. Instead of listing generic coursework, detail a specific analysis project or hackathon entry where you extracted insights from a dataset or conducted user research.
How to Apply: Apply directly through the official Tongston portal at tongston.com/careers under the Data & Analytics section.