This page was automatically translated and may contain errors. View in English.
인턴십

Digital Marketing Intern

Brandshark

Bengaluru, Karnataka, India • 정규직 인턴십

가장 먼저 지원하세요

봉급
급여: 월 10,000 INR ~ 10,000 INR
지속
4개월
시작
즉시
채용 공고
4
지원 자격

Candidates eligible for this internship must be available full time on-site, able to join within the stated start window, commit for 4 months, and possess relevant skills and interest.

작업 모드
사무실에서
재개하다
신청 시 필수 사항

인턴십 소개

About the internship

This internship offers hands-on exposure to digital marketing work for client projects, with a focus on planning, execution, and performance improvement across channels.

What you will do

  • Support the creation and rollout of integrated digital marketing plans for clients.
  • Research keywords and help refine Google AdWords campaigns to improve traffic and conversion outcomes.
  • Develop audience-focused content for social channels such as Facebook and Instagram.
  • Track campaign results, review key performance indicators, and flag opportunities to improve performance.
  • Work with the broader team to generate fresh ideas and marketing approaches.
  • Keep up with current industry trends and proven practices so client brands stay competitive online.

Who can apply

This opportunity is open only to candidates who can join a full-time, in-office internship, are able to begin between 2 July 2026 and 6 August 2026, can commit to 4 months, and have relevant skills and interest in the field.

Stipend

You will receive INR 10,000 per month during the internship.

Additional information

The application deadline is 1 August 2026 at 23:59:59. The internship is based in Bangalore, Karnataka, India. The organization’s work blends brand strategy, graphic design, web development, communication, marketing, and design thinking to help companies of all sizes build distinct and authentic brands.

혜택

사전 채용 제안(PPO)

답변을 원하시면 남겨주세요. 다른 용도로는 사용하지 않습니다.

클릭하여 살펴보세요드래그 앤 드롭 또는 반죽 스크린샷

PNG, JPG, GIF, MP4, WebM, MOV · 파일당 최대 20MB · 최대 5개 파일

🤖
브록서 어시스턴트
온라인 · 즉각적인 AI 도움말
🤖
AI 기반 · Broxer 도움말의 답변