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Front End Development

University Insights

Noida
Upto 1500 - 2500 per month
5 Opening(s)
Posted 1 month ago
Application endsMar 11, 2025

Job Description

About the internship We're looking for a Front-End Developer to design and build high-converting, responsive landing pages for Google Ads campaigns and funnels. The role involves creating visually appealing, fast-loading pages using HTML, CSS, JavaScript, and optionally PHP for handling forms. Key Responsibilities: Design and develop responsive landing pages with HTML, CSS, and JS. Create interactive UI elements like forms, modals, and buttons. Optimize pages for performance, SEO, and conversions. Integrate analytics tools (e.g., Google Analytics, Facebook Pixel). Handle form submissions with JavaScript or PHP (optional). Collaborate with the marketing team to align with campaign goals. Troubleshoot and debug design or functionality issues. Skills and Qualifications: Proficiency in HTML, CSS, JavaScript, and responsive design frameworks (e.g., Bootstrap/Tailwind). Basic PHP knowledge for form handling is a plus. Understanding of UI/UX design principles and SEO best practices. Familiarity with Google Ads and tracking tools (UTM tags, Pixels). Strong attention to detail and problem-solving skills. Who can apply Only those candidates can apply who: 1. are available for the work from home job/internship 2. can start the work from home job/internship between 23rd Jan'25 and 27th Feb'25 3. are available for duration of 3 months 4. have relevant skills and interests At University Insights, we're committed to helping you achieve academic success with our personalized services and resources. Trust us to guide you towards the right university, course, and study abroad program to meet your educational and career goals.

Job Skills

Bootstrap
CSS
HTML
JavaScript
PHP
Tailwind CSS

Job Overview

Date Posted
January 24, 2025
Location
Noida, Uttar Pradesh
Offered Salary

1500 - 2500 INR permonth

Expiration date
March 11, 2025
Experience
0 To 3 Years
Qualification
Bachelor of Science in Computer Science