Progressive Data information
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$81.9K - $99.9K
4% of jobs
$99.9K - $117.8K
9% of jobs
$133.1K is the 25th percentile. Wages below this are outliers.
$117.8K - $135.8K
11% of jobs
$135.8K - $153.7K
7% of jobs
The median wage is $159.5K / yr.
$153.7K - $171.7K
50% of jobs
$171.7K - $189.6K
2% of jobs
$189.6K - $207.6K
1% of jobs
$207.6K - $225.5K
0% of jobs
$225.5K - $243.5K
13% of jobs
How much do progressive data jobs pay per year?
As of Aug 25, 2026, the average yearly pay for progressive data in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.
Progressive Data jobs refer to roles within political campaigns, advocacy organizations, and nonprofits that focus on data analysis, management, and strategy to support progressive causes. These positions involve tasks like voter file management, targeting, analytics, reporting, and supporting outreach efforts. People in these roles use data to inform decisions, optimize campaign strategies, and help achieve organizational goals aligned with progressive values. Common job titles include Data Analyst, Data Manager, and Data Director, often requiring skills in SQL, Python, or data visualization tools.
Data analysts in progressive organizations often work with rapidly evolving datasets and may need to balance multiple projects with tight deadlines. Challenges can include integrating data from various sources, ensuring data quality, and translating complex findings into actionable insights for advocacy or campaign teams. Collaborating closely with stakeholders, maintaining clear documentation, and staying updated on the latest data tools can help address these challenges. Open communication and a proactive approach to problem-solving are key for success in this dynamic environment.
To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and typically a degree in mathematics, computer science, or a related field. Familiarity with tools such as SQL, Excel, Python or R, and data visualization platforms like Tableau is highly valued, along with relevant certifications. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These competencies enable data analysts to extract meaningful patterns from complex datasets and support strategic decision-making within organizations.
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