Scope of Work Reconstruct, redesign, and enhance data-driven presentations using Microsoft PowerPoint to ensure clarity and visual consistency. Create compelling visualizations that transform complex data into insights, supporting effective visual storytelling across various audiences. Edit content for accuracy, flow, and narrative impact while maintaining high standards of written communication. Apply advanced data analysis and statistical reasoning to interpret datasets and derive actionable conclusions for presentation materials. Develop analytics reports that summarize key findings, trends, and recommendations with precision and attention to detail. Critically review and refine existing slides and reports to align with best practices in data visualization and design. Collaborate on feedback cycles to iteratively improve deliverables based on project-specific requirements. Preferred Qualifications Expert-level proficiency in Microsoft PowerPoint, with a strong portfolio demonstrating slide reconstruction and advanced presentation design. Proven ability to distill and visualize complex datasets into accessible, business-oriented insights. Experience with content editing, data storytelling, and producing analytics reports for diverse stakeholders. Keen critical thinking skills and exceptional attention to detail in both quantitative and qualitative tasks. Strong written communication abilities, with a track record of crafting clear, concise, and engaging narratives. Background in data science, analytics, statistics, or a related field; prior consulting experience is a plus. Comfort participating in remote, collaborative projects with dynamic requirements and iterative feedback. Posted Yesterday

About micro1

micro1 is engaging Software Engineer — Open Source Contributions experts to participate in an impactful customer project focused on high-quality, open source software development. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.