Academic Data Analyst information
See Indiana salary details
$32.4K - $41.2K
4% of jobs
$59.3K is the 25th percentile. Wages below this are outliers.
$58.8K - $67.6K
18% of jobs
The median wage is $71.8K / yr.
$67.6K - $76.5K
16% of jobs
$76.5K - $85.3K
13% of jobs
$88.6K is the 75th percentile. Wages above this are outliers.
$85.3K - $94.1K
9% of jobs
$94.1K - $102.9K
5% of jobs
$102.9K - $111.8K
9% of jobs
$111.8K - $120.6K
3% of jobs
$120.6K - $129.4K
2% of jobs
How much do academic data analyst jobs pay per year?
As of Aug 13, 2026, the average yearly pay for academic data analyst in Indiana is $78,637.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $92,300.00 per year, depending on experience, location, and employer.
An Academic Data Analyst is responsible for collecting, analyzing, and interpreting data related to academic institutions, such as student performance, enrollment trends, and faculty research metrics. They use statistical tools and data visualization techniques to provide insights that inform decision-making and improve educational outcomes. Academic Data Analysts often collaborate with administrators, faculty, and IT staff to ensure data accuracy and to support institutional goals.
Academic Data Analysts often work closely with faculty, department heads, and administrative teams to gather requirements, interpret data trends, and provide actionable insights. They may participate in meetings to discuss key metrics on student performance, enrollment, and curriculum effectiveness, translating complex data into understandable reports or visualizations. Effective communication and a collaborative mindset are essential, as analysts bridge the gap between raw data and strategic planning, ensuring stakeholders have the information needed to make informed decisions. This role frequently involves handling multiple projects simultaneously and adapting analyses to the evolving needs of the academic institution.
To thrive as an Academic Data Analyst, you need strong analytical skills, proficiency in statistics, and typically a degree in data science, mathematics, or a related field. Familiarity with tools such as Python, R, SQL, and data visualization platforms like Tableau, as well as experience with institutional research databases, is often required. Attention to detail, problem-solving ability, and clear communication skills help translate complex data into actionable insights for academic stakeholders. These skills ensure accurate analysis and effective reporting, supporting data-driven decision-making in educational environments.
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