Data Analytics Museum information
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$24.52 - $30.88
10% of jobs
$30.88 - $37.24
6% of jobs
$37.24 - $43.60
7% of jobs
$44.33 is the 25th percentile. Wages below this are outliers.
$43.60 - $49.96
14% of jobs
The median wage is $53.27 / hr.
$49.96 - $56.32
24% of jobs
$60.73 is the 75th percentile. Wages above this are outliers.
$56.32 - $62.67
19% of jobs
$62.67 - $69.03
11% of jobs
$69.03 - $75.39
3% of jobs
$75.39 - $81.75
2% of jobs
$81.75 - $88.11
2% of jobs
$88.11 - $94.47
1% of jobs
How much do data analytics museum jobs pay per hour?
As of Aug 16, 2026, the average hourly pay for data analytics museum in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.
Data analytics professionals in museums work closely with curators and exhibit designers to gather and interpret visitor data, such as attendance patterns, engagement levels, and feedback. By analyzing this information, they help inform decisions about exhibit placement, content development, and visitor flow improvements. Collaboration often involves regular meetings to review data insights and adjust strategies, ensuring exhibits are both educational and engaging. This partnership is key to enhancing the overall visitor experience and measuring the impact of museum initiatives.
A Data Analytics Museum is an institution or organization that collects, preserves, and showcases data-driven exhibits and artifacts, often focusing on the history, tools, and impact of data analytics. These museums may feature interactive displays, educational programs, and exhibitions about the evolution of data analysis, data visualization, and their applications across industries. Their goal is to educate visitors about the importance of data analytics in modern society and to inspire interest in data science and related fields.
To thrive as a Data Analytics Manager in a museum, you need expertise in data analysis, statistics, and a relevant degree such as data science or information management. Familiarity with analytics tools like SQL, Python, Tableau, and museum-specific collection management systems is typically required. Outstanding communication, problem-solving, and stakeholder engagement skills help translate data insights into actionable strategies that support museum goals. These skills are vital for leveraging visitor data, optimizing exhibits, and enhancing the museum's overall impact and efficiency.
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