Designation:
Digital Marketing Intern
Job Description:
We are seeking Digital Marketing Interns for the online marketing of our training courses. The job delivers complete marketing responsibilities including digital marketing. The candidate will be responsible for SEO, SMO, SEM, SMM, PPC, promotions, advertising on different platforms, writing posts for social media to market the courses, connecting to clients for training-related discussions, and other similar activities.
Number of openings: 6
Desired Profile:
Qualification: MBA/BBA/BE/BCA/BSc/Bcom, any bachelor or PG degree
Freshers accepted
Eligibility:
- No bars for deserving candidates; any candidate interested in learning digital marketing can apply.
For applying candidates:
- Should be available for a full-time (in-office) internship
- Should be available for a duration of at least 3 months
- Should possess relevant skills and interests
- Should currently be residing in Indore
Day-to-day responsibilities:
- Performing on-page SEO – keyword research, title, image, meta description, meta tags, and content optimization
- Performing off-page SEO – Quora, forums, image submission, directory submission, social bookmarking, article submission, PDF submission, and PPT submission
- Boosting likes and followers on our social media handles
- Creating and building backlinks
- Helping increase the web traffic
- Helping build brand loyalty
- Tracking and analyzing the results of optimization
- Participating in the project- and task-management processes of the organization
Skills we’re looking for:
- Proficiency in spoken and written English
- A problem-solving attitude paired with an innovative mind
- Awareness and appreciation for best practices
- Candidates already familiar with practices of SEO will be preferred
Perks:
- Certificate of internship
- Good stipend
- Job offer
How to apply:
Interested candidates should mail their resume to [email protected]
Company Profile:
DataFlair Web Services is an Edtech Startup. We offer online training in niche technologies like Big Data-Hadoop, Spark and Scala, HBase, Kafka, Storm etc. We aim to reach the masses through our unique pedagogy model for self-paced learning and instructor-led learning that includes personalized guidance, lifetime course access, 24×7 support, live project, resume and interview preparation, and ready-to-work level learning. We aim to provide real-time technical experience to learners with the help of expert instructors.
