Digital Marketing

About the internship Responsibilities: 1. Utilize the LinkedIn platform predominantly to identify and qualify potential leads and prospects for digital transformation services 2. Research target markets, industries, and organizations to find key decision-makers 3. Employ effective search techniques on LinkedIn to build a database of potential clients based on specific criteria and requirements 4. Execute strategies to promote digital transformation services effectively 5. Create compelling and engaging content on LinkedIn, including articles, posts, and updates, to showcase our expertise and attract the attention of target audiences 6. Engage with prospects through messages, groups, building connections 7. Nurture existing client relationships, ensure regular communication 8. Align efforts with sales and marketing teams for cohesive lead generation 9. Track metrics and provide industry insights Qualifications: 1. Pursuing/immediately completing MBA or B.Tech 2. Strong understanding of digital transformation technologies (RPA, AI/ML, IoT, Data Science, Cloud, ERP, etc.) 3. Proficiency in LinkedIn marketing techniques 4. Excellent communication and analytical 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 14th Oct'24 and 18th Nov'24 3. are available for duration of 6 months 4. have relevant skills and interests RPA Infotech(I) Private Limited is an India-based business transformation company with a history of delivering world-class digital IT Services since 2009 to multiple Fortune 1000 companies. RPA is focused on increasing enterprise cost efficiency and productivity; decreasing turnaround time, errors, and re-work; and enhancing business agility, with intelligent automation, digitalization, analytics, and mobile enablement. Our services and solutions consist of operations digital transformation consulting; next-gen shared services setup consulting; cognitive RPA deployment; descriptive and predictive analytics implementation; AI-enabled CX enhancement; and cloud applications.