Experienced Full Stack Data Analyst – Music Industry Insights and Business Intelligence

About Us

The Walt Disney Company is a global leader in the entertainment industry, with a rich history dating back to 1923. As one of the world's most recognizable and beloved brands, Disney has grown to encompass a vast array of businesses and brands across the fields of entertainment, media, and amusement parks. With a presence in over 40 countries, Disney is a pioneer in creating immersive experiences that captivate audiences worldwide.

Job Description

We are seeking an experienced Full Stack Data Analyst to join our team at Disney Music Group (DMG). As a key member of our data analytics team, you will be responsible for driving business insights and decision-making across various departments within DMG. Your expertise in data analysis, business acumen, and communication skills will enable you to effectively translate complex data into actionable recommendations that inform business strategies and drive growth.

Key Responsibilities

* Drive data-driven approaches to tackle complex business challenges through data creation, analysis, and statistical modeling. * Foster a deep understanding of customer behavior within music marketing, discovery, and usage channels. * Collaborate with cross-functional teams to identify business opportunities and develop data-driven strategies to drive growth. * Develop and maintain advanced statistical models to analyze large-scale datasets and identify trends and patterns. * Communicate complex data insights to both technical and non-technical stakeholders through clear, concise, and compelling narratives. * Work closely with design and product teams to implement data-driven projects and drive business outcomes. * Lead and mentor junior team members to develop their skills and expertise in data analysis and business acumen.

Essential Qualifications

* Bachelor's degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Engineering. * 3+ years of experience in data analysis, with a strong background in statistical modeling and data visualization. * Proven track record of creating data-driven insights and recommendations that inform business strategies and drive growth. * Experience working with large-scale datasets and developing advanced statistical models to analyze complex data. * Strong understanding of data mining, quantitative analysis, and data visualization techniques. * Proficiency in programming languages such as Python, R, or SQL, with experience working with data visualization tools like Tableau or Power BI. * Excellent communication and presentation skills, with the ability to effectively communicate complex data insights to both technical and non-technical stakeholders.

Preferred Qualifications

* Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Engineering. * Experience working in the music industry or a related field, with a deep understanding of music marketing, discovery, and usage channels. * Experience working with data visualization tools like Looker or Google Data Studio. * Familiarity with machine learning algorithms and experience working with large-scale datasets. * Strong understanding of data governance and data quality principles. * Experience working in a fast-paced, dynamic environment with multiple stakeholders and priorities.

Skills and Competencies

* Strong analytical and problem-solving skills, with the ability to effectively communicate complex data insights to both technical and non-technical stakeholders. * Excellent communication and presentation skills, with the ability to effectively communicate complex data insights to both technical and non-technical stakeholders. * Strong understanding of data mining, quantitative analysis, and data visualization techniques. * Proficiency in programming languages such as Python, R, or SQL, with experience working with data visualization tools like Tableau or Power BI. * Experience working with large-scale datasets and developing advanced statistical models to analyze complex data. * Strong understanding of data governance and data quality principles. * Ability to work in a fast-paced, dynamic environment with multiple stakeholders and priorities.

Career Growth Opportunities and Learning Benefits

* Opportunities for career growth and advancement within the company, with a focus on developing skills and expertise in data analysis and business acumen. * Access to training and development programs to enhance skills and knowledge in data analysis, business acumen, and communication. * Collaborative and dynamic work environment with opportunities to work with cross-functional teams and stakeholders. * Opportunities to work on high-impact projects and initiatives that drive business growth and innovation. * Recognition and rewards for outstanding performance and contributions to the company.

Work Environment and Company Culture

* Collaborative and dynamic work environment with opportunities to work with cross-functional teams and stakeholders. * Opportunities to work on high-impact projects and initiatives that drive business growth and innovation. * Recognition and rewards for outstanding performance and contributions to the company. * Access to training and development programs to enhance skills and knowledge in data analysis, business acumen, and communication. * Opportunities for career growth and advancement within the company, with a focus on developing skills and expertise in data analysis and business acumen.

Compensation, Perks, and Benefits

* Competitive salary and benefits package, including health insurance, 401(k) matching, and paid time off. * Opportunities for career growth and advancement within the company, with a focus on developing skills and expertise in data analysis and business acumen. * Access to training and development programs to enhance skills and knowledge in data analysis, business acumen, and communication. * Collaborative and dynamic work environment with opportunities to work with cross-functional teams and stakeholders. * Recognition and rewards for outstanding performance and contributions to the company.

How to Apply

If you are a motivated and talented data analyst with a passion for the music industry, we encourage you to apply for this exciting opportunity. Please submit your resume and cover letter to [insert contact information]. We look forward to hearing from you! Apply for this job