Job Description | Details |
---|---|
Company Name | OML |
Post Name | Media & Analytics Intern |
Employment Type | Internship |
Job Location | Mumbai, Maharashtra, India |
Expected CTC | Not specified |
Vacancy | Not specified |
Starting Date of Online Application | Not specified |
Last Date of Online Application | Not specified |
About OML:
OML is a media and entertainment company based in Mumbai, partnering with creators to produce content, IPs, and live experiences. They operate globally with offices in Russia, Poland, and Thailand, specializing in artist management, content studio production for OTT platforms, live events, and brand solutions.
Key Responsibilities:
- Research and analysis of relevant data from social media platforms like Facebook, Instagram, and YouTube.
- Support quantitative research on platforms, markets, and influencers using in-house and external tools.
- Assist in landscape research for platforms and markets through online research.
- Aid in data collation and cleaning for various tasks.
- Assist in reporting campaign numbers and drawing insights.
Skills:
- Excellent written, presentation, and verbal communication skills.
- Quick learner open to adopting new tools.
- Proficient in Excel and PowerPoint.
- Strong research and analytical skills.
Qualifications and Prior Experience:
- Pursuing a bachelor’s degree in any stream; candidates from Engineering, Analytics, Data Science, or Computer Science preferred.
- Digital-first experience, preferably a digital native.
Company Values:
- Building opportunities for artists, brands, and fans with reliability and efficiency.
- Demonstrating honesty, excellence, and commitment to success.
- Taking ownership and responsibility without saying “It’s not my job.”
- Learning from mistakes to build resilience.
- Promoting self-care and supporting colleagues.
- Commitment to equality, inclusion, and environmental responsibility.
Additional Information:
OML encourages applicants not to include personal information such as photo, age, gender, religion, or ethnicity in their resumes to eliminate biases during the shortlisting process.
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