Lone Star Analytica Limited, a leader in high-performance data intelligence and SaaS solutions, is currently recruiting a skilled and innovative Frontend Developer to join its remote engineering team in Nigeria. This part-time role offers a competitive monthly salary of ₦100,000 – ₦110,000 for 20 hours of work per week. It is a perfect fit for developers who excel at building responsive, scalable user interfaces and want to contribute to decision superiority technology.
As a developer at Lone Star Analytica, you will be at the forefront of the Digital Transformation movement. You will design and maintain end-to-end web application features, ensuring that complex data sets are presented in a way that is intuitive, reliable, and visually compelling. If you have a deep understanding of the React ecosystem and a passion for clean code, this is your chance to work with a globally recognized firm focused on predictive and prescriptive analytics.
Job Details & Compensation Overview
- Position: Frontend Developer
- Company: Lone Star Analytica Limited
- Location: Fully Remote (Nigeria)
- Pay Rate: ₦100,000.00 – ₦110,000.00 per month
- Work Hours: Part-time (20 hours per week)
- Application Deadline: February 1, 2026
- Start Date: May 1, 2026
Key Responsibilities & Engineering Scope
The Frontend Developer role involves high-level collaboration across the Software Development Life Cycle (SDLC). Your core duties will include:
- UI/UX Development: Design and develop responsive, high-performance frontend interfaces that provide a seamless user experience across all devices.
- Module Maintenance: Build and maintain scalable web application modules and modular UI components using modern libraries.
- System Integration: Seamlessly integrate frontend features with Backend APIs and third-party services.
- Real-time Interactions: Implement streaming UI interactions and real-time data updates where project specifications require.
- Performance Management: Manage authentication protocols, client-side routing, state management, and overall UI performance optimization.
- Containerization & Deployment: Support modern deployment workflows and use Docker for standardized development environments.
- Code Quality: Maintain a repository of clean, reusable, and well-documented code while collaborating via GitHub.
🛠️ Core Technical Requirements
To succeed at Lone Star Analytica, candidates must demonstrate proficiency in the following Full Stack Technologies:
- Languages: Mastery of JavaScript or TypeScript.
- Frameworks: Advanced knowledge of React or Next.js.
- Runtime: Working knowledge of Node.js for integrated development.
- DevOps Tools: Proficiency with Git/GitHub for version control and Docker for environment consistency.
- Testing: Experience with API testing tools like Postman or Bruno.
- Nice-to-Have: Prior experience with WebSockets, LLM/chatbot integrations, or cloud platforms like Supabase, Vercel, or Render.
Why Join Lone Star Analytica Limited?
In the current tech landscape, Predictive Analytics is the “gold standard” of business intelligence. Lone Star Analytica is renowned for its Evolved AI® and TruNavigator® platforms, which help organizations make critical decisions faster and with higher certainty. By joining this team, you are not just building websites; you are building tools that improve operational efficiency for large-scale enterprises and government agencies. This part-time role provides the flexibility of Remote Work while exposing you to high-level engineering practices like Software Containerization and CI/CD deployment, which are invaluable for your professional growth.
How to Apply
Qualified candidates should prepare their technical portfolio and GitHub profile for review. Ensure your resume highlights your experience with State Management and Responsive Design.
Disclaimer
Disclaimer: This job listing is for informational purposes only. icanremotely.com is an Independent organisation is not affiliated with Lone Star Analytica Limited. We do not participate in the recruitment process or final hiring decisions. Always conduct due diligence before sharing personal or professional data.
About the Author
