Social Media Research Work From Home Part Time Internship

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Social Media Research
Start Date
Starts immediatelyImmediately
Duration
3 Months
Stipend
₹ 5,000-8,000 /month
APPLY BY
12 Nov' 24
Posted 3 weeks ago
Internship with job offer
Part time

About the work from home job/internship

Selected intern's day-to-day responsibilities include:

1. Research the latest trends in social media content across platforms like Instagram, LinkedIn, TikTok, etc.
2. Monitor trending hashtags, challenges, and viral content relevant to our niche. Analyze competitor content strategies and identify opportunities for GrowthVave to differentiate.
3. Compile research into actionable insights to assist the marketing team in planning future content.
4. Track algorithm updates and platform changes to ensure our strategies remain effective.
5. Collaborate with the marketing team to brainstorm and develop new content ideas.
6. Stay ahead of emerging trends in digital marketing, influencer marketing, and social media platforms.

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 10th Oct'24 and 14th Nov'24

3. are available for duration of 3 months

4. have relevant skills and interests

* Women wanting to start/restart their career can also apply.

Other requirements

1. Demonstrate a strong interest in social media trends and content creation.

2. Exhibit familiarity with platforms like Instagram, LinkedIn, TikTok, and others.

3. Showcase the ability to work remotely and collaborate effectively with a team.

4. Confirm comfort working EST hours (mandatory).

5. Apply good research and communication skills.

Perks

Certificate Letter of recommendation 5 days a week Job offer

Number of openings

1

About GrowthVave

GrowthVave is a results-driven marketing company specializing in organic social media growth and effective cold emailing strategies. We help brands grow their presence authentically and reach their target audience through innovative, data-backed approaches.
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