Data Analytics Analyst information
See Washington, DC salary details
$70.6K is the 25th percentile. Wages below this are outliers.
$70K - $80.5K
18% of jobs
The median wage is $85.4K / yr.
$80.5K - $91K
16% of jobs
$91K - $101.5K
13% of jobs
$105.4K is the 75th percentile. Wages above this are outliers.
$101.5K - $112K
9% of jobs
$112K - $122.5K
5% of jobs
$122.5K - $133K
9% of jobs
$133K - $143.5K
3% of jobs
$143.5K - $154K
2% of jobs
How much do data analytics analyst jobs pay per year?
As of Aug 21, 2026, the average yearly pay for data analytics analyst in Washington, DC is $93,564.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,800.00 and $109,800.00 per year, depending on experience, location, and employer.
A Data Analytics Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They use statistical tools and software to uncover trends, patterns, and insights from large datasets. Their work often involves creating reports, visualizations, and presentations to communicate findings to stakeholders. Data Analytics Analysts play a vital role in helping businesses optimize operations, improve customer experiences, and identify new opportunities.
To thrive as a Data Analytics Analyst, you need strong quantitative skills, experience with data analysis, and typically a degree in statistics, mathematics, computer science, or a related field. Proficiency with tools such as SQL, Python or R, and data visualization platforms like Tableau or Power BI, along with knowledge of data management systems, is crucial. Critical thinking, attention to detail, and effective communication skills help analysts interpret data and clearly convey insights to stakeholders. These skills are vital for transforming raw data into actionable business intelligence that drives informed decision-making.
Data Analytics Analysts often encounter challenges such as data quality issues, incomplete datasets, and difficulties in identifying meaningful patterns or insights. To overcome these, analysts should prioritize thorough data cleaning, leverage robust data validation techniques, and collaborate closely with stakeholders to understand the business context. Additionally, using advanced analytical tools and maintaining clear documentation can help ensure accurate interpretations and more actionable recommendations.
Data analytics analysts are generally well compensated, with salaries often above the median for entry-level roles and increasing with experience, certifications, and proficiency in tools like SQL, Python, or Tableau. Salaries vary by industry and location but tend to be competitive within the tech and finance sectors.
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