Remote Junior Data Quality Analyst information
See Reno, NV salary details
$34.4K - $42.8K
5% of jobs
$42.8K - $51.3K
11% of jobs
$56.4K is the 25th percentile. Wages below this are outliers.
$51.3K - $59.7K
14% of jobs
$59.7K - $68.1K
11% of jobs
The median wage is $70.8K / yr.
$68.1K - $76.5K
26% of jobs
$81.1K is the 75th percentile. Wages above this are outliers.
$76.5K - $85K
14% of jobs
$93.4K - $101.8K
4% of jobs
$101.8K - $110.3K
4% of jobs
$110.3K - $118.7K
3% of jobs
$118.7K - $127.1K
2% of jobs
How much do remote junior data quality analyst jobs pay per year?
As of Aug 15, 2026, the average yearly pay for remote junior data quality analyst in Reno, NV is $79,119.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,800.00 and $81,300.00 per year, depending on experience, location, and employer.
A Remote Junior Data Quality Analyst is responsible for ensuring the accuracy, consistency, and reliability of data within an organization. They typically work from a remote location, using tools to identify data errors, validate data sets, and maintain data integrity. Their tasks may include cleaning data, running quality checks, creating reports, and collaborating with other team members to resolve data issues. This role is entry-level, so training and learning on the job are common.
To thrive as a Remote Junior Data Quality Analyst, you need foundational skills in data analysis, attention to detail, and a bachelor's degree in a relevant field such as computer science or statistics. Familiarity with data management tools like SQL, Excel, and data visualization software, as well as experience with data quality frameworks, is typically required. Strong communication, problem-solving abilities, and self-motivation are crucial soft skills for collaborating remotely and addressing data issues proactively. These skills ensure accurate data validation, effective teamwork, and reliable insights for organizational decision-making.
Remote Junior Data Quality Analysts often encounter challenges such as miscommunication within distributed teams and limited immediate guidance due to working remotely. Staying proactive with regular check-ins, making use of collaborative tools, and documenting processes thoroughly can help bridge communication gaps. Additionally, managing data inconsistencies or incomplete information is common; leveraging standardized validation procedures and seeking feedback from more experienced teammates can help ensure accuracy. Building strong communication habits and being resourceful are key to thriving in this remote role.
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