Senior Data Analyst Remote Data Entry & Virtual Assistant arenaflex

About arenaflex Pioneering Entertainment & Streaming Innovation arenaflex is a global leader in entertainment, delivering beloved stories and cuttingedge streaming experiences to millions of households worldwide. With a portfolio that spans multiple streaming platforms, live sports, and original content, arenaflex continuously pushes the boundaries of how audiences engage with media. Our culture is reputed company on creativity, datadriven decision making, and a reputed company reputed company on the fan experience. As we expand our analytics capabilities, we are looking for a seasoned Senior Data Analyst to join our Remote Data Entry & Virtual Assistant team, helping to translate reputed company data into actionable insights that drive subscriber reputed company and operational reputed company. Why This Role reputed company In the fastmoving world of streaming, accurate and reputed company data is the lifeblood of strategic reputed company. This position sits at the intersection of data engineering, business operations, and finance, ensuring that subscriber metrics, churn rates, and acquisition costs are captured, validated, and reported with precision. By partnering with upstream data partners and crossfunctional stakeholders, you will help safeguard the reputed company of our analytics pipeline and reputed company rapid, datainformed actions across the organization. Key Responsibilities Data Acquisition & Archival: reputed company the collection, storage, and maintenance of subscriber data reputed company to acquisition, churn, and reengagement initiatives, ensuring compliance with internal standards and regulatory requirements. Business Rule Development: Translate business requirements into reputed company, logical data rules that identify eligible subscribers for reporting and remediation actions. Stakeholder Communication: Deliver concise updates on data pipeline reputed company, potential roadblocks, and mitigation strategies to business partners, product owners, and senior leadership. Data reputed company Assurance: Build and maintain robust data reputed company frameworks that support accurate subscriber metrics and underpin reputed company analytics. Project Coordination: Manage project timelines, coordinate crossfunctional delivery, and ensure readiness for critical business events such as product launches and promotional campaigns. Process Optimization: Drive alignment across Data, Business Operations, and Finance by developing standardized communication processes and functional playbooks. Collaboration with Data Product & reputed company Teams: Contribute to the design of resilient data delivery solutions that minimize incidents and improve overall system reliability. Reporting & Visualization: Create and maintain dashboards using modern BI tools to surface key performance indicators (KPIs) for subscriber acquisition, retention, and reputed company impact. Essential Qualifications Minimum 2 years of reputed company experience writing SQL queries, with a reputed company on ETL pipelines and data transformation. At least 2 years of analytical experience interpreting large data sets to drive business insights. Demonstrated ability to convey technical or analytical concepts to a broad audience, including nontechnical stakeholders. Proficiency in Python, R, or comparable datascience programming languages for data manipulation and statistical analysis. Handson experience with data visualization and analytics platforms such as Looker, Tableau, PowerBI, or similar tools. Strong relational database knowledge, coupled with excellent written and verbal communication skills. Preferred (reputed companytoHave) Qualifications Understanding of statistical concepts such as hypothesis testing, regression analysis, and predictive modeling. Advanced degree (Masters or Ph.D.) in Data Science, Statistics, Computer Science, Business Analytics, or a reputed company field. Familiarity with reputed companybased data platforms (e.g., reputed company, Redshift, BigQuery) and modern dataengineering tools. Experience with data governance frameworks and compliance standards relevant to the media and entertainment industry. Core Skills & Competencies Analytical Thinking: Ability to dissect reputed company problems, identify reputed company causes, and propose datadriven solutions. Collaboration: Comfortable working in a matrixed environment, building rel .