Remote Lead Data Analyst – Business Intelligence & Streaming Insights | arenaflex | $30/Hr

About arenaflex: Where Innovation Meets Imagination Welcome to arenaflex, a forward-thinking organization at the crossroads of entertainment, technology, and digital transformation. Much like the magic of storytelling that shapes cultures around the globe, arenaflex is reimagining how engaging survey experiences, media platforms, and digital products come to life for millions of users worldwide. Our mission is to harness the power of data to drive decisions that matter—whether we’re enhancing streaming experiences, optimizing advertising distribution, or delivering unparalleled content that captivates audiences. At arenaflex, every day presents a fresh opportunity to make a meaningful impact. We are a collective of dreamers, builders, and analysts who thrive in fast-paced, creative environments. Our work culture celebrates curiosity, collaboration, and the relentless pursuit of excellence. If you’re passionate about turning data into stories and stories into strategy, you’ll find your home here. The Opportunity: Remote Lead Data Analyst (Part-Time, $30/Hour) arenaflex is hiring a Remote Lead Data Analyst to join our dynamic Business Operations team, working remotely from anywhere in the United States with a preference for candidates based in California. This is a part-time, work-from-home opportunity that offers the flexibility to balance your professional ambitions with your personal life, all while contributing to high-impact analytics projects that shape the future of digital entertainment. In this role, you will be the analytical engine behind business performance reporting, working closely with cross-functional partners to transform raw data into actionable insights. You will lead the design and implementation of reporting strategies, mentor fellow analysts, and serve as the subject-matter expert for business intelligence tools across our streaming platforms. What You’ll Do: Key Responsibilities • Business Performance Reporting and Visualization: Serve as the primary analytics partner for cross-functional stakeholders, helping them understand platform performance. When metrics trend ahead or behind expectations, dive deep to deliver meaningful, actionable insights that enable the business to course-correct or capitalize on wins. • Reporting and Tooling Strategy: Lead the team in creating standardized, impactful metrics and reports across all streaming platforms. Champion consistency in definitions, calculations, and visualizations to ensure stakeholders receive trusted, reliable data. • Business Intelligence Implementation: Drive reporting initiatives for large-scale data environments. Act as a senior advisor to analysts on the team, partnering with Data Engineering and Infrastructure teams to design and build performant ETLs, mediator tables, and elegant, fast-loading dashboards in Tableau and Looker. • Single Source of Truth Creation: Collaborate with our Governance team to align analysts and stakeholders from across the organization on standardized metrics that measure product performance. Build consensus and drive adoption of unified definitions. • ETL and Metric Design: Own metric design and production end-to-end—from defining business requirements to structural design, development, and ensuring long-term data scalability. • Partnership and Communication: Work closely with business partners to deeply understand their decision-making needs. Partner with other data teams to continuously improve platform capabilities around data modeling, testing, visualization, and architecture. • Mentorship and Leadership: Guide a team of analysts, providing technical direction, career coaching, and thought leadership on best practices in analytics engineering and business intelligence. What We’re Looking For: Essential Qualifications • A Bachelor’s degree or higher in Computer Science, Management Information Systems (MIS), Statistics, Economics, Mathematics, or a closely related quantitative field. • Proven ability to build data analysis and data visualization tools such as Tableau, Looker, Chartio, or comparable platforms. • 4+ years of analytical experience, with a strong preference for candidates with specific expertise in analytics engineering. • Advanced proficiency in SQL, with bonus points for experience in SparkSQL, Hive, or similar query languages. • Extensive hands-on experience with OLAP databases such as Snowflake, Redshift, or equivalent data warehouse solutions. • Demonstrated experience designing and maintaining advanced tables for reporting through ET