Manager, Music Analytics Jobs

Job Summary
JOB DESCRIPTION – Manager, Music Analytics
Location: Los Angeles/ Remote
Division: Ticketmaster US
Line Manager: Director Artist Platforms
Contract Terms: Permanent, 40 hours per week
THE TEAM
Ticketmaster is the world’s largest ticket marketplace and the global market leader in live event ticketing products and services. Through official partnerships with thousands of venues, artists, sports teams, festivals, performing arts centers and theatres, Ticketmaster now processes over 500 million tickets a year. As part of Live Nation Entertainment, the largest live entertainment company in the world, Ticketmaster is traded on the New York Stock Exchange as NYSE: LYV.
Ticketmaster operates in over 30 countries across North America, South America, Europe and Asia Pacific. Overall, the company employs over 6,500 people. Ticketmaster was established in Phoenix, Arizona in 1976.
Ticketmaster Music manages our global concert line of business. We’re the commercial engine behind the world’s biggest tours and we represent touring artists and their promoters inside of Ticketmaster. Our mission is to develop, configure, and manage innovative and distinctive software solutions on behalf of these artists that capture and convert concert ticket demand, optimize prices, and provide key insights and fan interactions. Our deep understanding of touring artists’ business needs, and our access to the technological scale and expertise of the global leader in ticketing enables “Artist-Driven, Ticketmaster-Powered” outcomes that are transforming the global concert industry.
THE JOB
We are looking for a Manager, Analytics who is passionate about discovering trends and insights hidden in large data sets that are meaningful and actionable, while at the same time driving forward across analytical collaboration both internally and externally. You will be working on some of the most interesting and challenging problems in live music and you will have the opportunity to take our data-driven insights, convert them to recommendations and communicate those recommendations directly to our clients.
In this collaborative role, you will query/pull data from multiple data sources, QA data, research and implement innovative ways to look at data, perform a wide range of formal and ad hoc analyses. You will identify opportunities for improvements to product features and drive overall engagement by innovating new ways to look at data and providing analysis and insights. You will partner with leaders across multiple functions including Business Intelligence, Sales, Marketing, Strategy, Product & Finance to provide analyses covering product usage, cross-channel engagement, site analytics, incremental revenue streams, client analysis, and customer lifetime value.
Similarly, you will have an enhanced focus on helping to tell the Music story to internal and external stakeholders. This will lead to further business development opportunities, as well as a focus on metrics and findings that can be relayed to client-facing teams for public consumption.
What You Will Be Doing

• Query databases, create data sets (SQL) and build dynamic dashboards to track key KPIs, consumer/campaign insights, and empower channel leads to discover actionable insights
• Analyze and translate data to help measure performance and provide actionable insights that help identify opportunities to help drive overall revenue and improve product features
• Ultimately develop and manage the Music analyst group, focusing on mentoring and education, while streamlining client analysis and deliverables.
• Interact with internal and external clients to develop hypotheses, scope project requirements, formulate and execution analyses, and present results and recommendations.
• Build PowerPoint presentations and Excel reports to summary results.
• Perform post-campaign analysis, including customer segmentation and conversion performance, and provide recommendation for improvement.
• Present results, insights, recommendations to internal and external clients.
• Track and analyze data through exploratory data analyses to solve business questions and identify areas for optimization and automation
• Query, transform, and integrate data from multiple sources and structures and carry out data cleansing and normalization tasks to ensure data integrity.
• Serve as resident expert in statistical analysis, including model development, validation, and maintenance.
• Work with various departments across Ticketmaster to collaborate and uncover shared data and insights opportunities.
• Handle large data sets to help provide analyses and recommendations
• Develop and maintain online dashboard summaries of data and campaign performance to facilitate learning and decision-making.
• Conduct ad-hoc analysis and presenting results to internal and external stakeholders.
• Collaborate with business stakeholders to understand their objectives, gather their requirements, and define metrics that help measure performance
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Compile, consolidate and validate data from multiple sources into digestible formats

WHAT YOU NEED TO KNOW (or TECHNICAL SKILLS/COMPETENCIES)

• Able to communicate complex analytics results and insights to less technical audience.
• Bachelor’s degree in Statistics, Math, Information Technology, Economics or related fields
• 5+ years of relevant experience in analytics or a related field, such as data science, business intelligence, or data analysis
• Able to write and run SQL queries to pull data required
• Prior experience in relational databases required (both traditional and cloud-based environments)
• 3+ years of experience using statistical and computer languages (R, Python, SQL, Java, AWS, etc.)
• Strong written and verbal communication skills
• Experience working with SPSS Modeler, SAS or similar statistical package is a plus
• Experience with data visualization tools (Tableau, Domo, lookr, etc.).
• Extensive experience with Excel functions and formulas

You (behavioural Skills/Competencies)

• You are eager to learn and explore
• You are comfortable asking “What if?”
• Strong interest and skills in problem solving and issue resolution
• Curious
• Ability to partner with stakeholders, understand their use case, develop analytical framework, and provide data driven business insights

• Confident
• You are capable of dealing with uncertainty and leading through it
• You have strong opinions, but they are loosely held
• You are comfortable speaking one on one or in front of a room of hundreds

• Collaborative
• You thrive in a team environment, enjoy giving and receiving constructive criticism and are open to alternative viewpoints

• You are a broad thinker oriented toward solving problems
• Creative

• Empathetic
• You listen to understand and connect first before you respond

• You are capable of distilling the complex into the simple
• Your written communication skills are outstanding
• Please note that the compensation information provided is a good faith estimate for this position only and is provided pursuant to the California Salary Transparency in Job Advertisements Law and the New York Salary Transparency in Job Advertisements Law. It is estimated based on what a successful California or New York City applicant might be paid. It assumes that the successful candidate will be in California or New York City or perform the position from California or New York City. Similar positions located outside of California or New York City will not necessarily receive the same compensation. Live Nation takes into consideration a candidate’s education, training, and experience, as well as the position’s work location, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the California and NYC Laws, a potential new employee’s salary history will not be used in compensation decisions.
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