Voice Data Analyst information
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$43.3K - $52.5K
7% of jobs
$52.5K - $61.8K
13% of jobs
$62.4K is the 25th percentile. Wages below this are outliers.
$61.8K - $71.1K
18% of jobs
The median wage is $75.4K / yr.
$71.1K - $80.4K
16% of jobs
$80.4K - $89.6K
13% of jobs
$93.1K is the 75th percentile. Wages above this are outliers.
$89.6K - $98.9K
9% of jobs
$98.9K - $108.2K
5% of jobs
$108.2K - $117.5K
9% of jobs
$117.5K - $126.7K
3% of jobs
$126.7K - $136K
2% of jobs
How much do voice data analyst jobs pay per year?
As of Aug 17, 2026, the average yearly pay for voice data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.
A Voice Data Analyst is a professional who analyzes audio data, such as speech recordings or voice commands, to extract meaningful insights or improve voice recognition technologies. They work with large datasets to identify patterns, transcribe audio, and evaluate the accuracy of automated speech recognition systems. Their work often supports the development of virtual assistants, customer service bots, and other voice-enabled applications. Voice Data Analysts typically have skills in linguistics, data analysis, and familiarity with speech processing tools.
To thrive as a Voice Data Analyst, you need strong analytical skills, experience with data analysis, and a background in linguistics, statistics, or computer science. Familiarity with speech recognition software, natural language processing (NLP) tools, and programming languages like Python or R is typically required. Attention to detail, problem-solving abilities, and effective communication make someone stand out in this position. These skills are essential for accurately interpreting voice data, improving voice-driven technologies, and delivering actionable insights to stakeholders.
Voice Data Analysts often work closely with software engineers and product teams to ensure that voice recognition systems are accurately trained and optimized. They analyze large datasets of voice recordings, identify patterns, and provide actionable insights to improve algorithms. Regular meetings and cross-functional discussions are common, allowing analysts to share findings and prioritize enhancements based on user feedback and technical feasibility. This collaborative environment helps ensure that voice-enabled products meet quality standards and user expectations.
What cities are hiring for Voice Data Analyst jobs?
Cities with the most Voice Data Analyst job openings:
What states have the most Voice Data Analyst jobs?
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