What does a Data Analyst do?
The value and availability of data has become one of the defining characteristics of 21st-century business—and music-related industries are among those who stand to benefit the most. From record labels, music publishers, and artist management companies to streaming services, radio stations, and music technology startups, everyone wants to take advantage of the wealth of information provided by data in order to improve their sales and marketing strategies.
For this they need the help of data analysts, business professionals who specialize in acquiring, manipulating, analyzing, and explaining data. If that sounds a little vague, it's only because data analysis can be used in so many different ways: depending on the type of company employing them, a music industry analyst could be working to discover the next hot artist, identifying core demographics for a concert venue or festival, or using sales data to identify a label artist's next career move.
Ultimately, while technical abilities are the main barrier to entry, it's interpersonal, critical thinking, and problem-solving skills that make a great data analyst.
At a Glance
Data analysts frequently get their start as interns or junior metrics specialists in business intelligence, marketing, or digital operations departments. Entry paths prioritize core quantitative competencies alongside standard industry fluency. While advanced knowledge of Excel was once the baseline, entry-level candidates are now highly competitive if they showcase automated workflow development using SQL, Python, or platform APIs directly in their portfolios. Successful interns are often hired directly into full-time roles upon graduation.
Within the cultural sector, data analysts are actively sought out by major and independent record labels, music publishers, concert promoters (such as Live Nation), streaming DSPs, and music software manufacturers. Outside the industry, positions are ubiquitous across finance, e-commerce, advertising agencies, and corporate research groups.
- Ability to identify trends in large datasets
- Expert with electronic spreadsheets (pivot tables, V-Lookups, index functions, CSE functions)
- Experience with data reporting and visualization software (e.g. Tableau)
- Knowledge of database management processes and best practices (e.g. data wrangling and/or ETL processes)
- Familiarity with (and sometimes fluency in) SQL and Python
- Outstanding knowledge of Microsoft Excel and Jupyter Notebook
- Experience with major Python libraries like pandas and NumPy
- Written and verbal communication skills
- Basic computer science
- Knowledge of advanced topics like machine learning
Ultimately, while technical abilities are the main barrier to entry, it's interpersonal, critical thinking, and problem-solving skills that make a great data analyst. Analysts must possess exceptional attention to detail, a strong intuition about which questions will produce the most valuable results, and the flexibility to perform well in both independent, self-guided roles and collaborative, team-based ones. Additionally, the ideal analyst should possess developed knowledge of the relevant industry; this not only eliminates the need for a separate subject matter expert (SME) but also greatly reduces the likelihood of costly mistakes—which occur far too often when analysts don't understand the real-world systems and ideas behind the data. Most people would be surprised to discover that strong communication skills are absolutely vital for data analysts, who are frequently called upon to convey their findings to clients and executives who may lack their mathematical background—for which it's essential to be able to find (or create) the narrative behind the data.
The majority of data analysts work full-time corporate hours in standard office or hybrid settings. While the hours are regular, release cycles, complex touring announcements, and quarter-end financial auditing periods can create temporary spikes in workload. Freelance and independent consulting options exist, specifically when providing market evaluation or deep catalog audits for independent record labels and mid-sized talent agencies.
