Experienced Full Stack Data Analyst – Music and Media Insights

Remote Full-time
At arenaflex, we're on a mission to revolutionize the way we understand and interact with music and media. As a key member of our Information and Investigation team, you'll play a vital role in driving business decisions and growth across our music and media divisions. We're seeking an experienced Full Stack Data Analyst to, working remotely on a part-time basis. If you're passionate about data, music, and media, and have a knack for turning complex insights into actionable stories, we want to hear from you.About arenaflex arenaflex is a global leader in the entertainment industry, with a rich history dating back to 1923. Our company has grown to encompass a vast array of businesses and brands, including film and television production, media networks, and theme parks. We're committed to innovation, creativity, and excellence in everything we do, and we're looking for talented individuals like you to. Job Summary As a Full Stack Data Analyst at arenaflex, you'll be responsible for extracting, processing, and analyzing large-scale data sets to inform business decisions and drive growth across our music and media divisions.You'll work closely with cross-functional teams to design and implement data-driven solutions, and communicate complex insights to stakeholders through clear and compelling stories. If you're passionate about data, music, and media, and have a knack for turning complex insights into actionable stories, we want to hear from you. Key Responsibilities * Extract, process, and analyze large-scale data sets from various sources using tools like PySpark and SQL * Design and implement data-driven solutions to inform business decisions and drive growth across our music and media divisions * Apply advanced data analysis techniques (data mining, statistical analysis, AI) to identify patterns and opportunities in social data * Lead campaign, product, customer, and audience analysis for business needs, creating and tracking key metrics to measure success * Collaborate with Design and Product teams to complete data projects, contributing to product discovery, design, build, and QA * Develop and maintain data visualizations and reports to communicate insights to stakeholders * Stay up-to-date with industry trends and emerging technologies, applying new skills and knowledge to drive innovation and growth Essential Qualifications * 2+ years of experience in data analysis or a related field, or equivalent combination of education and experience * Bachelor's degree in a quantitative field, such as Mathematics, Statistics, Physics, Computer Science, or Engineering * Strong understanding of data analysis and visualization tools, including PySpark, Python, R, and SQL * Experience with data mining and statistical analysis techniques, including regression, decision trees, and clustering * Strong communication and presentation skills, with the ability to distill complex insights into clear and compelling stories * Ability to work effectively in a fast-paced environment, with a strong focus on time management and prioritization Preferred Qualifications * Experience with machine learning and AI techniques, including supervised and unsupervised learning, and deep learning * Experience with data visualization tools, including Tableau, Power BI, or D3.js * Experience with cloud-based data platforms, including Databricks, Snowflake, or bolthires BigQuery * Strong understanding of music and media industry trends and emerging technologies * Familiarity with streaming platforms, including bolthires, bolthires Music, and bolthires * Experience with social media analytics, including Facebook, Instagram, and TikTok Benefits of Working at arenaflex * Competitive salary and benefits package * Opportunity to work on high-impact projects and contribute to the growth and success of our music and media divisions * Collaborative and innovative work environment, with a focus on creativity and excellence * Access to cutting-edge technology and tools, including data visualization and machine learning platforms * Opportunities for professional growth and development, including training and education programs * Recognition and rewards for outstanding performance and contributions to the company If you're passionate about data, music, and media, and have a knack for turning complex insights into actionable stories, we want to hear from you.Please submit your resume and a cover letter outlining your experience and qualifications for this role. We can't wait to hear from you!
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