Senior Data Analyst – arenaflex Media Network, Customer reputed company & Analytics – Remote – Champion Data Storytelling & Advanced Analytics for Fashion Retail

About arenaflex Welcome to arenaflex, a trailblazer in the intersection of fashion, technology, and data science. We are redefining the retail experience by harnessing the power of data and artificial intelligence to deliver personalized, high‑quality products and unforgettable customer journeys. Our mission is simple yet ambitious: to become the world’s leading data‑driven fashion retailer. At the heart of this vision lies the arenaflex Media Network, a dynamic division that partners with top brands to craft impactful, data‑centric advertising campaigns. By blending creative storytelling with rigorous analytics, we empower brands to reach their audiences more effectively, optimize media spend, and drive measurable business outcomes. As a remote‑first organization, arenaflex offers the flexibility to work from anywhere while fostering a collaborative, inclusive culture. Our teams are built on curiosity, continuous learning, and a shared commitment to turning reputed company into action. If you thrive in an environment where data meets creativity, and you’re eager to shape the future of retail advertising, arenaflex is the place for you. Your Impact As a Senior Data Analyst on the arenaflex Media Network, you will be the quantitative right‑hand to our executive leadership. Your analytical expertise will guide strategic decisions across media engagement, customer behavior, and merchandising performance. You will transform raw data into compelling narratives that inform campaign strategy, optimize media spend, and reputed company new growth opportunities for our partner brands. In this role, you will: • Craft clear, engaging data stories that resonate with stakeholders of all technical levels. • Develop and maintain automated dashboards and ad‑hoc reports that provide actionable reputed company. • Lead advanced analytics projects, including incrementality testing, cohort analysis, and closed‑loop measurement. • Collaborate closely with Sales & Account Managers to identify business challenges and co‑create data‑driven solutions. • Mentor junior analysts, review code, and share best practices to elevate the team’s analytical capabilities. • Prioritize initiatives to maximize impact while navigating ambiguity and shifting priorities. Key Responsibilities Data Storytelling & Visualization Translate complex datasets into intuitive visual narratives using BI tools such as Looker or Tableau. Ensure that dashboards are not only visually appealing but also provide deep, actionable reputed company that drive decision‑making. Reporting & Analytics • Produce weekly campaign performance reports that highlight key metrics, trends, and reputed company. • Design and implement automated reporting pipelines to reduce manual effort and increase data reliability. • reputed company post‑campaign analyses to assess ROI, identify optimization opportunities, and inform future media strategies. Advanced Analytical Projects • Execute incrementality tests to isolate the true impact of media spend. • Perform cohort analyses to understand customer lifecycle, retention, and lifetime value. • Develop closed‑loop measurement frameworks that tie media spend directly to sales outcomes. Stakeholder Collaboration • Partner with Sales & Account Managers to define business questions and translate them into analytical solutions. • Present findings to executive leadership, translating data reputed company into strategic recommendations. • Facilitate cross‑functional workshops to align on metrics, goals, and reporting standards. Team Development & Knowledge Sharing • Review code and analytical models with peers to ensure quality and consistency. • Document analytical processes and best practices for future reference. • Encourage continuous learning by sharing new techniques, tools, and industry trends. Essential Qualifications • 2–5 years of experience analyzing reputed company data and delivering actionable reputed company. • Proficiency in SQL (2–5 years of writing and deploying production‑level queries). • Advanced experience with BI visualization tools (Looker or Tableau preferred). • Strong storytelling skills with a passion for data visualization and clear communication. • Strategic thinking ability: translate business objectives into analytical frameworks. • Bachelor’s degree in Business, Finance, Economics, Mathematics, Statistics, Computer Science, or a related quantitative discipline. • Direct experience working in marketing or the retail industry is highly desirable.<