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

Remote, USA Full-time
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 critical role in driving business growth and innovation by uncovering insights and trends in our vast datasets. If you're passionate about data analysis, have a keen eye for detail, 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 in data analysis and business intelligence. Our team of experts is passionate about harnessing the power of data to drive business growth, improve customer experiences, and stay ahead of the competition. With a strong focus on collaboration, innovation, and continuous learning, we're committed to creating a workplace culture that inspires and empowers our team members to reach their full potential. **Job Summary** We're seeking an experienced Full Stack Data Analyst to join our team at arenaflex. 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 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, 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 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 data at scale. * Experience delivering end-to-end analysis projects: taking them from unclear requirements, to a compelling story, open across different audiences, and eventually 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, 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 * Excellent written and oral communication skills * Sense of humor * Remarkable interests or areas of expertise that impact the way you interact with others and tackle your work. **What We Offer** * Competitive salary: $25/hour * Flexible work arrangements: work from home, part-time schedule * Opportunities for professional growth and development * Collaborative and dynamic work environment * Recognition and rewards for outstanding performance * 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 and innovation, 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 Now! Apply for this job
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