Top Music Data & Analytics Jobs

The Manager of Media Analytics & Optimization will lead media performance measurement, drive insights for decision-making, and foster collaboration with senior stakeholders, while utilizing skills in analytics and AI.

Partner with stakeholders to design, build, and deliver analytical projects, dashboards, data pipelines, and visualizations. Write queries and workflows, own projects end-to-end, and improve automation and delivery across global teams.

Analyze and report on revenue from musical compositions through data tracking on various platforms. Collaborate with teams for data integration and process improvement.

12-week on-site internship supporting Customer Data Engineering: extract, analyze, cleanse, and model data into a modern data warehouse; collaborate with analysts, data scientists, and business partners; participate in Agile/Scrum.

The Data Analyst transforms revenue data into insights, creates reports and dashboards, and supports multiple departments with data analysis, enhancing reporting and data quality.

As a Solutions Engineer, you will partner with sales to design technical data-driven solutions, lead product demos, and ensure customer needs are met through efficient data integration and analytics.

The Senior Analyst in Internal Audit & Risk will implement audit strategies, support SOX compliance, and execute advisory projects across technology domains, leveraging technical skills in scripting and data analytics.

The Business Analyst supports data management, metrics reporting, and process quality control while working independently to improve operations and report findings to leadership.

The Content Analyst at ASCAP will research and analyze to maximize revenue and ensure proper compensation for songwriters. Responsibilities include establishing processes, quality control, documentation, and analytical projects with various stakeholders.

The role involves applying machine learning and statistical methods to analyze user behavior at Twitch, driving insights from data collection to model development and collaborating with various specialists.