Afternoon International 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 afternoon international data analyst jobs pay per year?
As of Aug 23, 2026, the average yearly pay for afternoon international 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.
An Afternoon International Data Analyst is a professional who specializes in analyzing and interpreting global data trends, often working afternoon or later shifts to coordinate with international teams or markets. Their responsibilities include collecting, processing, and presenting data from various countries, identifying patterns, and providing actionable insights to support business decisions. They use statistical tools and software to analyze complex datasets and frequently collaborate with teams across different time zones. This role requires strong analytical skills, attention to detail, and proficiency in data analytics tools.
To thrive as an Afternoon International Data Analyst, you need strong analytical skills, attention to detail, and a relevant degree in fields like statistics, economics, or data science. Familiarity with data analysis tools such as SQL, Python, Excel, and business intelligence platforms like Tableau or Power BI is typically required. Exceptional problem-solving abilities, cross-cultural communication, and the capacity to work independently during afternoon or evening shifts set top performers apart. These skills and qualities are crucial for delivering accurate, timely insights and collaborating effectively with global teams across different time zones.
Afternoon International Data Analysts often encounter challenges such as managing data from multiple time zones, ensuring data consistency across different regions, and navigating language or formatting differences in international datasets. Collaborating with global teams may require flexible communication skills and adaptability to various cultural work practices. Additionally, analysts must stay vigilant about data privacy regulations that vary by country, which can impact how data is collected, stored, and shared.
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