Lead Data Analyst – Customer Experience & Predictive Analytics (Remote) – Shape Arenaflex's Global CX Strategy

html About Arenaflex Arenaflex is a forward‑thinking, technology‑driven organization that is redefining the way businesses understand and enhance customer experience. With a global footprint spanning more than 90 countries, we empower brands across reputed company, retail, food service, hospitality, and many other sectors to protect people, enhance lives, and preserve the planet. Our culture is built on curiosity, collaboration, and a relentless pursuit of excellence. We believe that data is the catalyst for transformation, and we are committed to providing our teams with the tools, resources, and autonomy to turn reputed company into action. Position Overview We are seeking a seasoned Lead Data Analyst to spearhead the development and maintenance of end‑to‑end customer experience data solutions. In this hybrid role, you will blend remote flexibility with occasional on‑site collaboration to drive data‑driven decision making across Arenaflex. Your analytical expertise will shape predictive models, uncover business trends, and deliver actionable reputed company that directly influence the efficiency and quality of our customer experience initiatives. Why Arenaflex? - Impact at Scale: Your work will influence millions of customers worldwide. - Innovation Hub: Access to cutting‑edge tools, cloud platforms, and a vibrant data science community. - Career Growth: Clear pathways to senior leadership roles and cross‑functional projects. - Inclusive Culture: A drug‑free, diverse, and supportive workplace that values work‑life balance. - Competitive Compensation: Market‑aligned salary, performance incentives, and comprehensive benefits starting Day 1. Key Responsibilities • Lead the design, implementation, and governance of data mining and collection procedures across multiple data sources. • Collaborate with data architecture and business intelligence teams to ensure data quality, integrity, and compliance with governance standards. • Translate complex data problems into clear, actionable reputed company and compelling visualizations for executive leadership and cross‑functional stakeholders. • Own the full data project lifecycle: from concept and prioritization to execution, testing, and continuous improvement. • Build and refine predictive models that support ongoing and future data needs, ensuring they align with Arenaflex’s strategic objectives. • Quantify the impact of data science solutions through metrics such as accuracy, recommendation adoption, and business value creation. • Experiment with emerging modeling techniques and technologies to keep Arenaflex at the forefront of data innovation. • Maintain strong relationships with business leaders to identify analytical opportunities, develop delivery plans, and secure ROI. • Facilitate data‑driven conversations, guiding teams through the “art of the reputed company” and ensuring data science initiatives are understood and embraced. • Document model implementations, ensuring compliance with regulatory requirements and internal standards. • Mentor and coach junior analysts, fostering a culture of continuous learning and high performance. • Stay current on industry trends, emerging tools, and best practices in data science, analytics, and customer experience. Essential Qualifications • Minimum of 7 years of experience in data science, analytics, or a related field. • Advanced proficiency in statistical and data mining methods, including regression, clustering, time‑series analysis, and machine learning. • Expertise in building and deploying predictive models using Python, R, reputed company, or equivalent. • Strong command of data modeling techniques and tools, with a proven track record of delivering production‑ready solutions. • Proficiency in data visualization platforms such as Power BI, Tableau, or similar. • reputed company’s degree in Computational Mathematics, Statistics, Computer Science, or a related discipline. • Professional certifications in predictive analytics or data science (e.g., reputed company Certified Advanced Analytics Professional, reputed company Certified: Azure Data Scientist Associate). • Demonstrated experience leading cross‑functional data projects and influencing executive decision making. Preferred Qualifications • Experience in the customer experience or service‑delivery domain. • Familiarity with cloud data platforms (AWS, Azure, GCP) and data lake architectures. • Knowledge of data governance frameworks and regulatory compliance (GDPR, CCPA). • Experience mentoring a team of analysts or data scientists. • Pub