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**Experienced Full Stack Data Analyst – Business Intelligence and Analytics**

Remote, USA Full-time Posted 2026-03-23
At arenaflex, we're on a mission to revolutionize the way we approach business intelligence and analytics. As a Senior Data Analyst, you'll play a crucial role in driving business growth and decision-making through data-driven insights. If you're passionate about exploring the intersection of business and technology, we want to hear from you. **About arenaflex** arenaflex is a leading innovator in the private sector, dedicated to harnessing the power of data and technology to drive business success. Our team of experts is passionate about pushing the boundaries of what's possible, and we're committed to creating a workplace culture that's collaborative, inclusive, and inspiring. **Job Summary** We're seeking an experienced Full Stack Data Analyst to join our team in Santa Monica, USA. As a Senior Data Analyst, you'll be responsible for analyzing complex data sets, identifying trends and patterns, and developing actionable insights to inform business decisions. You'll work closely with cross-functional teams to drive business growth, improve customer experiences, and optimize business processes. **Key Responsibilities** * Assemble comprehensive analyses, data visualizations, and multi-functional reporting that provide critical support to business initiatives and decision-making * Answer business questions and provide expert knowledge on various business streams on D+ and Hulu to enhance customer experiences and drive conversions * Advance the scientific capabilities of the business, collaborate in the design of analytical solutions, and deliver exceptional data insights and products * Utilize data visualization tools, SQL, and programming languages to access and analyze structured and unstructured data * Apply statistical methods (t-test, chi-square, ANOVA, correlation, Regression, Factor Analysis, etc.) to understand customer behavior and preferences, and drive business impact across the organization **Essential Qualifications** * Bachelor's degree in a scientific field (e.g., mathematics, statistics, computer science, engineering) * 3+ years of professional experience as an analyst in an analytics and data science space with expertise in SQL, Python, or R for complex querying, high-level analysis, performance optimization, and working with large datasets * Experience delivering end-to-end analysis projects: taking them from unclear requirements to a compelling story, open to diverse audiences, and ultimately to a clear business outcome * Excellent communication and interpersonal skills, with the ability to build strong working relationships with colleagues, stakeholders, and technical partners * Ability to present to senior leadership **Preferred Qualifications** * Master's degree in a scientific field * Demonstrated data visualization skills with tools such as Matplotlib, Seaborn, Looker, MicroStrategy, Plotly, etc. * Experience with marketing landing pages, join channels, and business spaces * Ability to identify and properly escalate issues to management * Counseling background, MBA, or other multi-industry experience * Strong motivation and ability to work independently * Exceptional written and oral communication skills * Humor and creativity * Unique interests or areas of passion that influence the way you interact with others and approach your work **What We Offer** * Competitive hourly rate of $25 * Flexible, part-time schedule with 8 hours of work per week * Opportunity to work with a dynamic and innovative team * Collaborative and inclusive work environment * Professional development and growth opportunities * Comprehensive benefits package, including health insurance, retirement plan, and paid time off **How to Apply** If you're a motivated and analytical individual with a passion for data-driven insights, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience, skills, and qualifications. Apply Now! Apply for this job    

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