Data Analysis Supervisor information
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$43.8K - $56.6K
8% of jobs
$65.3K is the 25th percentile. Wages below this are outliers.
$56.6K - $69.5K
14% of jobs
$69.5K - $82.3K
18% of jobs
The median wage is $84.6K / yr.
$82.3K - $95.1K
15% of jobs
$95.1K - $107.9K
7% of jobs
$117.5K is the 75th percentile. Wages above this are outliers.
$107.9K - $120.7K
7% of jobs
$120.7K - $133.5K
6% of jobs
$133.5K - $146.4K
6% of jobs
$146.4K - $159.2K
4% of jobs
$159.2K - $172K
6% of jobs
How much do data analysis supervisor jobs pay per year?
As of Sep 11, 2026, the average yearly pay for data analysis supervisor in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.
Data Analysis Supervisors are professionals who oversee teams of data analysts to ensure the accurate collection, processing, and interpretation of data. They manage workflow, provide guidance on analytical methods, and ensure that data-driven insights support business goals. Additionally, they are responsible for maintaining data quality, developing analysis standards, and reporting key findings to stakeholders. Their role is essential in transforming raw data into actionable information for decision-making.
A Data Analysis Supervisor frequently works alongside departments such as marketing, finance, and operations to understand their analytical needs and translate business questions into actionable data insights. They facilitate regular meetings to align on project goals, delegate analysis tasks to their team, and ensure findings are communicated clearly to non-technical stakeholders. This collaborative environment helps foster a culture of data-driven decision making and ensures that analytical outputs are directly tied to organizational objectives. Effective communication and project management are key skills in successfully bridging the gap between technical teams and business units.
To thrive as a Data Analysis Supervisor, you need strong analytical skills, statistical knowledge, leadership experience, and a relevant degree in data science, statistics, or a related field. Proficiency in analytics tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, along with familiarity with data management systems, is typically expected. Excellent communication, problem-solving skills, and the ability to mentor and collaborate with team members are crucial soft skills in this role. These competencies ensure effective oversight of data projects, high-quality analysis, and actionable insights that drive organizational decision-making.
What are popular job titles related to Data Analysis Supervisor jobs?
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