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Dat Jobs in Washington, DC (NOW HIRING)

DAT and Mail.XML are fundamental to the electronic data exchange of mailing information. Experience with Mail.DAT, and Mail.XML specification (highly desired but not required). * Demonstrated ...

QA Test Engineer

Washington, DC · On-site

$83K - $113K/yr

DAT, and Mail.XML specification (highly desired but not required). Security Clearance Level: * Must be able to obtain and maintain a Public Trust and successfully pass a thorough Government ...

Bytoa is seeking a Senior Visual Analyst, tosupportthe Data Analytics Team (DAT), providing web design, development, and hosting support. You will provide expert-level graphics in support of content ...

Complete radiographs and intra-oral pictures at the direction of the dentist only after the DAT has completed all state requirements regarding radiation safety * Learn how to prepare for patient care ...

Complete radiographs and intra-oral pictures at the direction of the dentist only after the DAT has completed all state requirements regarding radiation safety * Learn how to prepare for patient care ...

Complete radiographs and intra-oral pictures at the direction of the dentist only after the DAT has completed all state requirements regarding radiation safety * Learn how to prepare for patient care ...

Complete radiographs and intra-oral pictures at the direction of the dentist only after the DAT has completed all state requirements regarding radiation safety * Learn how to prepare for patient care ...

Showing results 21-40

Dat information

See Washington, DC salary details

$28.9K

$75.6K

$132.6K

How much do dat jobs pay per year?

As of Aug 30, 2026, the average yearly pay for dat in Washington, DC is $75,555.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,400.00 and $85,000.00 per year, depending on experience, location, and employer.

What is a data analyst?

Data analysts are professionals who collect, process, and analyze data to help organizations make informed decisions. They use statistical techniques and tools to interpret complex datasets, identify trends, and generate actionable insights. Data analysts often create reports, dashboards, and visualizations to present their findings to stakeholders, helping businesses optimize processes and strategies.

What are some common challenges faced by data analysts when working with cross-functional teams?

Data Analysts often collaborate with departments like marketing, product, and engineering, each of which may have distinct priorities and varying levels of data literacy. A common challenge is translating technical findings into actionable insights that non-technical stakeholders can understand and implement. Additionally, aligning on data definitions and ensuring data consistency across teams can require proactive communication and strong organizational skills. Building effective relationships and setting clear expectations early on can help mitigate these challenges and lead to more impactful outcomes.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical abilities, proficiency in statistics, and a relevant degree in fields like mathematics, computer science, or economics. Familiarity with technical tools such as SQL, Excel, Python or R, and data visualization platforms like Tableau or Power BI is typically required. Attention to detail, problem-solving, and effective communication are essential soft skills to interpret data and share insights with stakeholders. These skills and qualities are crucial for transforming data into actionable business intelligence and supporting informed decision-making.

What is the difference between Dat vs Data Analyst?

AspectDatData Analyst
Required CredentialsTypically no formal degree, but technical skills preferredBachelor's degree in data science, statistics, or related field
Work EnvironmentTechnical teams, data-focused projects, often in IT or software companiesBusiness environments, reporting, data interpretation, cross-department collaboration
Employer & Industry UsageTech companies, startups, data-driven organizationsFinance, marketing, healthcare, and other industries requiring data insights
Common Search & ComparisonOften searched alongside data roles, technical skills, or data toolsCompared for analytical skills, reporting, and business insights

The main difference between a Dat and a Data Analyst is that a Dat typically focuses on technical data management and infrastructure, often with less emphasis on analysis, whereas a Data Analyst concentrates on interpreting data to provide actionable insights. Both roles require familiarity with data tools, but their work environments and primary responsibilities differ.

What is a data job?

A data job involves working with data to analyze, interpret, and manage information for decision-making or operational purposes. Common roles include data analyst, data scientist, and data engineer, which often require skills in programming, statistics, and data tools like SQL or Python.

What is the highest paying job in data?

The highest paying roles in data typically include Data Science Directors, Chief Data Officers, and Data Engineering Managers, with salaries often exceeding $150,000 annually. These positions require advanced skills in analytics, machine learning, and leadership, and often demand extensive experience and relevant certifications.

What are popular job titles related to Dat jobs in Washington, DC?

For Dat jobs in Washington, DC, the most frequently searched job titles are:

Infographic showing various Dat job openings in Washington, DC as of August 2026, with employment types broken down into 31% Full Time, 58% Part Time, and 11% Contract. Highlights an 73% In-person, and 27% Remote job distribution, with an average salary of $75,555 per year, or $36.3 per hour.

Business Systems Analyst

Arlington, VA • On-site

Apexon
IT Services • 5 - 10K employees

Other

Posted 2 days ago

New


Job description

  • 5 7+ years of experience in Business Analysis, IT, or Software Development.
  • Strong skills in requirements management, JIRA/Confluence, Agile, Waterfall, and SDLC.
  • Experience with Selenium/UFT, Oracle SQL, Teradata, and MicroStrategy.
  • Proficient in Microsoft O365, Power BI, and Visio.
  • Mail.DAT/Mail.XML and AI-based test automation experience preferred.