E-commerce Social Media Analyst

About the Role

Our client is looking for a detail-oriented and data-driven E-commerce Social Media Analyst to join their marketing team in Wolverhampton. This hybrid role is perfect for an individual passionate about dissecting social media performance and translating insights into actionable strategies for our e-commerce business. You will be responsible for tracking, measuring, and reporting on the effectiveness of social media campaigns, identifying trends, and providing recommendations for optimization. Your analytical prowess will be key to enhancing our online presence and driving measurable results.

Key Responsibilities

• Monitor and analyze social media performance across all relevant platforms, tracking key metrics such as engagement, reach, and conversion rates.
• Generate regular reports on social media campaign performance, providing insights and recommendations for improvement.
• Conduct audience analysis and market research to identify trends and opportunities for content optimization.
• Measure the ROI of social media initiatives and their impact on e-commerce sales.
• Collaborate with the social media team to test and implement new strategies based on data analysis.
• Maintain dashboards and reporting tools to ensure accurate and up-to-date performance data.

Requirements

• Proven experience in social media analytics or a data analysis role, preferably within e-commerce.
• Strong proficiency in using social media analytics tools (e.g., Facebook Insights, Instagram Analytics, Twitter Analytics).
• Excellent data interpretation and visualization skills.
• Familiarity with A/B testing methodologies.
• Ability to communicate complex data findings clearly and concisely.
• Bachelor's degree in Marketing, Statistics, Economics, or a related analytical field.

Benefits

• Competitive salary and performance-based bonuses.
• Hybrid work arrangement offering a balance of remote and office-based work.
• Comprehensive health and dental benefits.
• Opportunities for professional development and training in analytics tools.
• Collaborative team environment focused on data-driven decision-making.