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

At arenaflex, we're on a mission to revolutionize the way we approach data-driven decision-making. As a Senior Data Analyst, you'll play a pivotal role in driving business growth and innovation by uncovering insights and patterns in complex data sets. If you're passionate about data analysis, have a knack for storytelling, and are eager to make a meaningful impact, we want to hear from you. **About arenaflex** arenaflex is a leading innovator in the private sector, dedicated to pushing the boundaries of what's possible. Our team of experts is passionate about harnessing the power of data to drive business success. With a strong focus on collaboration, innovation, and continuous learning, we're creating a workplace culture that's both challenging and rewarding. **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 drive business growth. You'll work closely with cross-functional teams to develop and implement data-driven solutions, and collaborate with stakeholders to communicate findings and recommendations. **Key Responsibilities** * Assemble comprehensive analyses, data visualizations, and multi-functional reporting that provide critical support to business initiatives and decision-making processes. * Respond to key business questions and provide expert knowledge on various business streams, including D+ and Hulu, to enhance the customer experience and drive conversions. * Advance the scientific capabilities of the business by collaborating in the design of analytical solutions and delivering 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 a data analyst in an analytics and data science space with strong SQL, Python, or R skills 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 (written and oral) skills, with the ability to build strong working relationships with colleagues, stakeholders, and technical partners * Ability to present to senior leadership **Good to Have** * Master's degree in a scientific field * Demonstrated data visualization skills with tools like Matplotlib, Seaborn, Looker, MicroStrategy, Plotly, etc. * Experience with marketing landing pages, sign-up 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 expertise that impact the way you interact with others and tackle business challenges **What We Offer** * Competitive hourly rate of $25/hour * Part-time employment 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 * Flexible work arrangements, including remote work options * Comprehensive benefits package, including health insurance, retirement plan, and paid time off **How to Apply** If you're a motivated and detail-oriented data analyst with a passion for driving business growth, we encourage you to apply for this exciting opportunity. Please submit your resume, cover letter, and any relevant work samples to [insert contact information]. We can't wait to hear from you! Apply for this job