Job Title: Data and Social Media Insights AnalystClient: International Cricketer Mohammad ShamiRole Summary:As a Data and Social Media Insights Analyst, I am responsible for managing the social media presence of international cricketer Mohammad Shami. This dynamic role requires 24/7 availability to ensure real-time management and insights delivery. My core responsibilities include analyzing social media metrics, managing data for content scripts, and contributing creative content ideas to the team for effective engagement.Key Responsibilities:Manage all social media platforms for Mohammad Shami, ensuring consistent brand voice and engagement.Provide real-time analysis of social media performance, tracking key metrics like reach, engagement, and audience growth.Maintain and organize data for scripts and content planning, ensuring alignment with ongoing campaigns and strategies.Collaborate with the content team to provide creative and quality content ideas tailored to the athlete’s brand and audience.Stay updated with the latest social media trends and tools to optimize content and strategy.Respond to social media activities in real-time to engage with fans and manage the athlete’s digital reputation.Skills and Expertise:Data analysis and interpretation for social media insights.Expertise in handling social media platforms such as Instagram, Twitter, Facebook, and more.Creative content strategy and ideation.Strong organizational skills for data management.Ability to work in a high-pressure environment with 24/7 availability.

Internship Description: Data Analyst Intern at Global IT Providers (GIP)During my 6-month internship at GIP, I gained hands-on experience with various data analysis tools and techniques. I worked extensively with Microsoft Excel, using advanced functions and formulas, creating pivot charts, and building dashboards for data visualization. In SQL, I executed complex queries, including views, triggers, and joins, and applied commands such as DCL, DQL, and DDL. Additionally, I utilized Power BI to develop insightful data visualizations. My work in Python involved writing loops (for, while) and employing different libraries to automate tasks and process data efficiently.