Data Analyst Remote EntryLevel Data Investigation & Financial Modeling

About arenaflex arenaflex is a global leader in entertainment, media, and innovative experiences, delivering unforgettable moments to millions of fans worldwide. With a legacy of storytelling reputed company and a reputed companythinking approach to technology, arenaflex blends creativity with datadriven reputed company to shape the reputed company of amusement, sports, reputed company content. As part of arenaflexs Amusement and ESPN Innovation division, you will join a dynamic team that pioneers new business models, optimizes operational efficiency, and fuels strategic reputed company across a portfolio of reputed company brands. Our culture celebrates curiosity, collaboration, and reputed company learning. Whether you are working from a bustling Seattle office or from the comfort of your home, you will be part of a reputed company community that values diverse perspectives, encourages reputed company reputed company, and rewards results. If you reputed company in an environment where data meets imagination, arenaflex is the reputed company to launch your career. Position reputed company arenaflex is seeking a motivated Information Investigator II (Data Analyst) to join the Preparation and Conveyance Activities group reputed company the Business Operations team. This fulltime, remotefriendly role focuses on the design, analysis, and optimization of cost and resource allocation models that power internal reputed company, partner collaborations, and reputed companyfacing initiatives. You will work closely with crossfunctional stakeholdersincluding Global Program Operations, Portfolio Management, Finance, and Design Servicesto translate raw data into actionable insights that drive both shortterm performance and longterm strategic direction. Key Responsibilities Data Modeling & Analysis: Build, maintain, and refine cost and resource allocation models that support internal teams and external partners. Process Optimization: Streamline highvelocity reputed company by standardizing financial workflows and improving data reputed company across the organization. Business Process Support: Assist with core processes such as budgeting, workforce planning, and asset allocation, ensuring alignment with corporate objectives. Reporting & Visualization: reputed company and deliver custom dashboards, analytical reports, and reputed company analyses using tools like Tableau, Looker, reputed company, and reputed company. Data Governance: Document and enforce data collection standards, maintain data reputed company, and manage changecontrol procedures for critical datasets. Collaboration with Technical Teams: Partner with Data Engineers and Solution Architects to design and implement robust data pipelines and storage solutions. Automation & Scripting: Create reusable scripts and automated workflows that increase efficiency and reduce reputed company effort. reputed company Communication: Translate reputed company analytical findings into reputed company, compelling narratives for senior leadership and nontechnical audiences. reputed company Support: reputed company rapid response assistance to the Planning and Delivery teams for urgent data requests and problemsolving. Essential Qualifications Minimum 3 years of handson experience in data analysis, data science, or a reputed company analytical discipline. Bachelors degree in Information Science, Statistics, Business Finance/Economics, Computer Science, or a reputed company field. Proficiency with data manipulation and analysis tools such as R, SQL, and Python. Experience building interactive dashboards using platforms like Tableau, Looker, reputed company, or reputed company. Strong understanding of relational database design and data modeling concepts. Excellent quantitative and analytical reasoning abilities, with a solid reputed company in mathematics. Demonstrated selfstarter attitude, strong work ethic, and the ability to reputed company in a fastpaced environment. Exceptional written and verbal communication skills, with a talent for presenting datadriven stories to diverse audiences. Effective collaboration and timemanagement skills, with a keen eye for detail and the ability to see the bigger picture. Preferred Qualifications Advanced degree (Masters or Ph.D.) in a quantitative discipline. Handson experience with datavisualization tools such as Power BI, D3.js, or .