Data Strategy Supervisor

Description

Job Summary: We are seeking a professional to add value to projects by applying data management and media metrics to ensure accurate strategies for clients, while supervising the technical routine and deliverables. Key Highlights: 1. Supervise the team's technical routine and ensure excellence in deliverables. 2. Create and validate data extraction scopes for campaign metrics. 3. Deliver high-level presentations and propose data-driven optimizations. **Description** We are looking for someone who will contribute value to projects by applying data management and media metrics to ensure the accuracy of strategies proposed to clients. We seek individuals eager to take on challenges and relentlessly pursue learning. Want to join Spark and explore the full potential of Influencer Marketing? **Responsibilities and Duties** Supervise the team's technical routine, ensuring adherence to schedules and SLAs for deliverables. Supervise reporting and analytical deliverables, ensuring excellence, accuracy, and quality of data presented to clients and leadership. Create and validate data extraction scopes (manual databases and automation) for creator, engagement, and campaign performance metrics. Validate scope documentation, ensuring technical accuracy and alignment with business objectives. Ensure efficient communication flow between internal teams (analysts, BI, creative) and stakeholders. Deliver high-level presentations to clients, demonstrating technical mastery of influencer data (ER, authenticity, ROI, segmentation). Validate and suggest implementations of tracking tags for campaigns across social platforms and influencer tools. Map and understand the client’s entire ecosystem (audience, channels, creators, conversion funnel), generating in-depth analyses and strategic recommendations. Monitor critical KPIs (real engagement, audience lifetime value, market benchmarks) and propose data-driven optimizations. **Requirements and Qualifications** Bachelor’s degree completed in Advertising, Statistics, Data Science, Business Administration, Marketing, or related fields. Proven experience in data analysis within digital marketing/influencer marketing or advertising. Advanced proficiency in tools: BrandWatch, Stilingue, Google Analytics, Looker Studio/Tableau, Power BI, Advanced Excel. Experience with social media and influencer metrics (paid and organic media). Proficiency in Google Sheets and media platforms.