Manager of Data Analytics – Music Entertainment & Streaming Industry Insights
About arenaflex
Welcome to arenaflex, a dynamic leader in the entertainment and media industry! At arenaflex, we believe in the power of data to transform how we understand and serve our audiences worldwide. As part of our continued commitment to innovation and excellence, we are seeking a talented and passionate Data Analytics Manager to join our Music Group division and help drive data-informed strategies across our diverse music platforms and services.
At arenaflex, we create magic through storytelling, music, and technological innovation. Our Music Group represents a vibrant and rapidly evolving segment of our business, encompassing record labels, music publishing, streaming services, and artist management. We are looking for a curious and driven professional who shares our passion for music and our commitment to using data to create meaningful connections between artists and fans.
This is an exciting opportunity to be at the intersection of data science, business strategy, and the dynamic music industry. You'll work alongside talented teams across marketing, product, engineering, and content strategy to transform raw data into actionable insights that shape the future of how music is discovered, consumed, and celebrated.
Position Overview
We are currently seeking an experienced Manager, Data Analytics to lead our music industry analytics initiatives. In this role, you will serve as the primary data analysis partner to cross-functional teams throughout our Music Group business. You will be responsible for developing deep insights into consumer behaviors within music marketing, discovery, and usage channels, translating complex business questions into rigorous analytical frameworks.
The ideal candidate will have a genuine passion for data and its application in understanding the music industry landscape. You should be comfortable working with large-scale transactional datasets, building statistical models, and translating technical findings into compelling narratives that resonate with stakeholders at all levels of the organization. This position offers significant visibility and the opportunity to directly impact business decisions that shape the future of music entertainment.
Key Responsibilities
Lead analytical approaches to complex business challenges through data creation, analysis, and statistical modeling. Develop new methodologies integrating data from both internal and external sources to provide comprehensive business intelligence.
Build and apply classification, regression, and clustering models to derive meaningful insights from large-scale datasets. Translate business questions into analytical and technical frameworks that drive measurable results.
Contribute to strategic initiatives and new business opportunities by developing predictive models and frameworks to understand potential market opportunities, performance drivers, and the impact of external factors on our music business.
Support data-informed business strategies by applying data mining, quantitative analysis, and visualization techniques to surface and highlight key themes, answering critical business questions across varied business areas.
Extract and prepare data for analysis by acquiring, organizing, cleansing, and manipulating complex, large-scale data from multiple disparate sources using advanced tools such as PySpark and advanced SQL queries.
Apply supervised and unsupervised learning techniques including linear and logistic regression, decision trees, or k-means clustering to derive, validate, and evaluate conclusions from complex datasets.
Partner with cross-functional stakeholders to identify opportunities and understand performance metrics, diving deep into data to drive meaningful and actionable insights that inform business decisions.
Contribute to organizational needs through ongoing reporting and analysis to inform business, product, marketing, and sales strategies across all music platforms and distribution channels.
Lead content performance and audience analysis for music releases and product launches, developing and tracking key metrics to measure success and identify growth opportunities.
Perform statistical analysis including KPI deep dives, behavioral clustering, and customer journey analysis. Develop analytical pipelines for automated, scalable, repeatable, and integrated analysis using modern big data architectures in environments such as Databricks, Snowflake, and Google BigQuery.
Collaborate with Engineering and Product teams to execute data-driven initiatives and ensure alignment between technical implementation and business objectives.
Contribute to solution discovery, design, build, and QA processes by working collaboratively on data models, database schema, ETL/ELT data pipelines, and validation frameworks.
Lead and mentor a team of data analysts, establishing standards and best practices to maximize impact and contribution across the organization.
Required Qualifications
Education & Experience
Bachelor's degree in a quantitative field including Statistics, Mathematics, Physics, Computer Science, Engineering, or other related discipline from an accredited institution
Minimum of 3 years of professional data analysis experience in a corporate or industry setting
Minimum of 3 years of team management or supervisory experience
Demonstrated experience developing statistical models and analyses for real-world business applications
Technical Skills
Strong proficiency in manipulating large, transactional-level datasets and interpreting data trends from various disparate data sources
Solid hands-on experience developing complex analytical solutions using scripting languages such as Python or R
Advanced proficiency in SQL and large-scale data processing languages such as PySpark
Experience with data mining in distributed systems such as Spark or Databricks
Proficiency in data analysis and visualization tools such as Tableau or Looker
Experience developing analytical software that scales for enterprise-wide investigations
Working knowledge of media performance metrics and analytics
Experience working with data in the entertainment or media industry preferred
Core Competencies
Strong documentation skills with experience defining data requirements, business rules, and underlying assumptions
Excellent verbal and written communication skills with the ability to convey complex analytical concepts to diverse audiences across all organizational levels
Passion for building clear, concise, and meaningful metrics that drive business value
Proven track record of using data to deliver measurable business impact and presenting data-driven insights to executive audiences
Ability to influence and collaborate effectively with partners across the organization
Exceptional time management skills with the ability to thrive in a fast-paced environment while managing multiple priorities
Strong attention to detail without losing sight of broader strategic objectives
History of working independently, demonstrating creativity, and delivering measurable results
Genuine passion for music and the music industry
Strong familiarity with music streaming platforms (Spotify, Apple Music, Amazon Music, YouTube Music), social media platforms (TikTok, Facebook/Instagram), and emerging technologies (digital assistants/voice platforms)
Preferred Qualifications
Experience leading data-driven projects across a broad cross-functional landscape
Experience building, managing, and inspiring teams in strategic support functions
Advanced degree (Master's or PhD) in a quantitative field including Statistics, Mathematics, Physics, Computer Science, Engineering, or other related discipline
Career Growth & Development
At arenaflex, we are deeply invested in the professional growth and development of our employees. As a Manager, Data Analytics within our Music Group, you will have access to extensive career advancement opportunities and professional development resources. We support continuous learning through internal training programs, conference attendance, and educational reimbursement opportunities.
You will work alongside industry experts and thought leaders in data science, analytics, and the music business. This role provides exceptional exposure to cross-functional leadership and the opportunity to develop expertise in both technical analytics and business strategy. High-performing team members have the opportunity to advance into senior leadership roles within the analytics organization or transition into specialized roles in product, strategy, or operations.
Work Environment & Culture
At arenaflex, we foster a collaborative, innovative, and inclusive work culture that celebrates creativity and diversity of thought. We believe that the best insights come from diverse perspectives working together toward common goals. Our Music Group team is passionate about music and committed to using data to enhance how artists connect with their audiences worldwide.
We offer flexible work arrangements to support work-life balance, including hybrid and remote options where appropriate. Our offices are designed to inspire creativity and collaboration, with access to cutting-edge technology and tools needed to succeed in your role. You'll join a team that values transparency, accountability, and mutual respect while maintaining a fun and dynamic atmosphere.
Compensation & Benefits
arenaflex offers a comprehensive and competitive compensation package designed to attract, retain, and reward top talent. The starting hourly rate for this position is $28.00, with eligibility for performance-based bonuses and annual reviews. Full-time employees enjoy a complete benefits package including:
Comprehensive health, dental, and vision coverage for employees and their families
401(k) retirement plan with generous company matching
Paid time off including vacation, holidays, and personal days
Employee assistance programs and wellness resources
Tuition reimbursement and professional development opportunities
Employee discounts on entertainment products, theme park admissions, and exclusive content
Access to exclusive events, premieres, and music industry experiences
Relocation assistance for qualified candidates
Why Join arenaflex?
arenaflex is more than a company – it's a gateway to endless possibilities in entertainment, music, and innovation. By joining our Music Group analytics team, you'll play a pivotal role in shaping how music is created, marketed, and consumed in the digital age. Your insights will directly influence artist strategies, marketing campaigns, product features, and business decisions that reach millions of music fans worldwide.
We value creativity, curiosity, and the courage to push boundaries. If you're passionate about data, excited by the music industry, and ready to make a meaningful impact, we encourage you to apply and become part of the arenaflex family. Together, we'll continue to create magical moments for audiences around the world through the power of music and data-driven storytelling.
We look forward to reviewing your application and exploring how your skills and passion can contribute to the continued success and growth of arenaflex Music Group!
Welcome to arenaflex, a dynamic leader in the entertainment and media industry! At arenaflex, we believe in the power of data to transform how we understand and serve our audiences worldwide. As part of our continued commitment to innovation and excellence, we are seeking a talented and passionate Data Analytics Manager to join our Music Group division and help drive data-informed strategies across our diverse music platforms and services.
At arenaflex, we create magic through storytelling, music, and technological innovation. Our Music Group represents a vibrant and rapidly evolving segment of our business, encompassing record labels, music publishing, streaming services, and artist management. We are looking for a curious and driven professional who shares our passion for music and our commitment to using data to create meaningful connections between artists and fans.
This is an exciting opportunity to be at the intersection of data science, business strategy, and the dynamic music industry. You'll work alongside talented teams across marketing, product, engineering, and content strategy to transform raw data into actionable insights that shape the future of how music is discovered, consumed, and celebrated.
Position Overview
We are currently seeking an experienced Manager, Data Analytics to lead our music industry analytics initiatives. In this role, you will serve as the primary data analysis partner to cross-functional teams throughout our Music Group business. You will be responsible for developing deep insights into consumer behaviors within music marketing, discovery, and usage channels, translating complex business questions into rigorous analytical frameworks.
The ideal candidate will have a genuine passion for data and its application in understanding the music industry landscape. You should be comfortable working with large-scale transactional datasets, building statistical models, and translating technical findings into compelling narratives that resonate with stakeholders at all levels of the organization. This position offers significant visibility and the opportunity to directly impact business decisions that shape the future of music entertainment.
Key Responsibilities
Lead analytical approaches to complex business challenges through data creation, analysis, and statistical modeling. Develop new methodologies integrating data from both internal and external sources to provide comprehensive business intelligence.
Build and apply classification, regression, and clustering models to derive meaningful insights from large-scale datasets. Translate business questions into analytical and technical frameworks that drive measurable results.
Contribute to strategic initiatives and new business opportunities by developing predictive models and frameworks to understand potential market opportunities, performance drivers, and the impact of external factors on our music business.
Support data-informed business strategies by applying data mining, quantitative analysis, and visualization techniques to surface and highlight key themes, answering critical business questions across varied business areas.
Extract and prepare data for analysis by acquiring, organizing, cleansing, and manipulating complex, large-scale data from multiple disparate sources using advanced tools such as PySpark and advanced SQL queries.
Apply supervised and unsupervised learning techniques including linear and logistic regression, decision trees, or k-means clustering to derive, validate, and evaluate conclusions from complex datasets.
Partner with cross-functional stakeholders to identify opportunities and understand performance metrics, diving deep into data to drive meaningful and actionable insights that inform business decisions.
Contribute to organizational needs through ongoing reporting and analysis to inform business, product, marketing, and sales strategies across all music platforms and distribution channels.
Lead content performance and audience analysis for music releases and product launches, developing and tracking key metrics to measure success and identify growth opportunities.
Perform statistical analysis including KPI deep dives, behavioral clustering, and customer journey analysis. Develop analytical pipelines for automated, scalable, repeatable, and integrated analysis using modern big data architectures in environments such as Databricks, Snowflake, and Google BigQuery.
Collaborate with Engineering and Product teams to execute data-driven initiatives and ensure alignment between technical implementation and business objectives.
Contribute to solution discovery, design, build, and QA processes by working collaboratively on data models, database schema, ETL/ELT data pipelines, and validation frameworks.
Lead and mentor a team of data analysts, establishing standards and best practices to maximize impact and contribution across the organization.
Required Qualifications
Education & Experience
Bachelor's degree in a quantitative field including Statistics, Mathematics, Physics, Computer Science, Engineering, or other related discipline from an accredited institution
Minimum of 3 years of professional data analysis experience in a corporate or industry setting
Minimum of 3 years of team management or supervisory experience
Demonstrated experience developing statistical models and analyses for real-world business applications
Technical Skills
Strong proficiency in manipulating large, transactional-level datasets and interpreting data trends from various disparate data sources
Solid hands-on experience developing complex analytical solutions using scripting languages such as Python or R
Advanced proficiency in SQL and large-scale data processing languages such as PySpark
Experience with data mining in distributed systems such as Spark or Databricks
Proficiency in data analysis and visualization tools such as Tableau or Looker
Experience developing analytical software that scales for enterprise-wide investigations
Working knowledge of media performance metrics and analytics
Experience working with data in the entertainment or media industry preferred
Core Competencies
Strong documentation skills with experience defining data requirements, business rules, and underlying assumptions
Excellent verbal and written communication skills with the ability to convey complex analytical concepts to diverse audiences across all organizational levels
Passion for building clear, concise, and meaningful metrics that drive business value
Proven track record of using data to deliver measurable business impact and presenting data-driven insights to executive audiences
Ability to influence and collaborate effectively with partners across the organization
Exceptional time management skills with the ability to thrive in a fast-paced environment while managing multiple priorities
Strong attention to detail without losing sight of broader strategic objectives
History of working independently, demonstrating creativity, and delivering measurable results
Genuine passion for music and the music industry
Strong familiarity with music streaming platforms (Spotify, Apple Music, Amazon Music, YouTube Music), social media platforms (TikTok, Facebook/Instagram), and emerging technologies (digital assistants/voice platforms)
Preferred Qualifications
Experience leading data-driven projects across a broad cross-functional landscape
Experience building, managing, and inspiring teams in strategic support functions
Advanced degree (Master's or PhD) in a quantitative field including Statistics, Mathematics, Physics, Computer Science, Engineering, or other related discipline
Career Growth & Development
At arenaflex, we are deeply invested in the professional growth and development of our employees. As a Manager, Data Analytics within our Music Group, you will have access to extensive career advancement opportunities and professional development resources. We support continuous learning through internal training programs, conference attendance, and educational reimbursement opportunities.
You will work alongside industry experts and thought leaders in data science, analytics, and the music business. This role provides exceptional exposure to cross-functional leadership and the opportunity to develop expertise in both technical analytics and business strategy. High-performing team members have the opportunity to advance into senior leadership roles within the analytics organization or transition into specialized roles in product, strategy, or operations.
Work Environment & Culture
At arenaflex, we foster a collaborative, innovative, and inclusive work culture that celebrates creativity and diversity of thought. We believe that the best insights come from diverse perspectives working together toward common goals. Our Music Group team is passionate about music and committed to using data to enhance how artists connect with their audiences worldwide.
We offer flexible work arrangements to support work-life balance, including hybrid and remote options where appropriate. Our offices are designed to inspire creativity and collaboration, with access to cutting-edge technology and tools needed to succeed in your role. You'll join a team that values transparency, accountability, and mutual respect while maintaining a fun and dynamic atmosphere.
Compensation & Benefits
arenaflex offers a comprehensive and competitive compensation package designed to attract, retain, and reward top talent. The starting hourly rate for this position is $28.00, with eligibility for performance-based bonuses and annual reviews. Full-time employees enjoy a complete benefits package including:
Comprehensive health, dental, and vision coverage for employees and their families
401(k) retirement plan with generous company matching
Paid time off including vacation, holidays, and personal days
Employee assistance programs and wellness resources
Tuition reimbursement and professional development opportunities
Employee discounts on entertainment products, theme park admissions, and exclusive content
Access to exclusive events, premieres, and music industry experiences
Relocation assistance for qualified candidates
Why Join arenaflex?
arenaflex is more than a company – it's a gateway to endless possibilities in entertainment, music, and innovation. By joining our Music Group analytics team, you'll play a pivotal role in shaping how music is created, marketed, and consumed in the digital age. Your insights will directly influence artist strategies, marketing campaigns, product features, and business decisions that reach millions of music fans worldwide.
We value creativity, curiosity, and the courage to push boundaries. If you're passionate about data, excited by the music industry, and ready to make a meaningful impact, we encourage you to apply and become part of the arenaflex family. Together, we'll continue to create magical moments for audiences around the world through the power of music and data-driven storytelling.
We look forward to reviewing your application and exploring how your skills and passion can contribute to the continued success and growth of arenaflex Music Group!