$134.1k - $241.4k
full potential. Unleash your talent and redefine what’s possible.Job Description:Parsons is looking for an amazingly talented Senior Data Science Consultant to join our team! The Air Force Mission Assurance (MA) Construc…
Engineering & IT · Washington, DC
Data Analyst jobs in Washington, DC
Data analysts answer business questions with data — writing SQL, building dashboards, and turning metrics into clear recommendations for teams that need to make a call.
1,274
Open roles today
$33–$81/hr
Typical pay range
$116k
Median, full-time
2
Fresh in this list
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01
Open data analyst roles
7 shown of 1,274 · sorted by freshness
$116.35k - $210.33k
Systems Integration Support (NISC) Program is looking for a Program Analyst to support the Federal Aviation Administration's (FAA) Office of... ...In this role, the analyst will bridge the gap between technical data syst…
Role- SAP Data Architect / Business Analyst Location- Remote JD- The Data Architect / Business Analyst will serve as the principal liaison between functional Supply Chain business teams and technical development teams. T…
Galorath is the leader in analytical program management, empowering analysts and organizational leaders to make complex business decisions... ...Stock Ownership Plan ("ESOP") more than 10 years ago. Data Analyst Descript…
Job Responsibilities: Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches. Apply technical expertise with quantitative analysis, exper…
Overview Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and…
Excellence Are you an experienced QA professional who knows how to mentor others and maintain a high bar for data integrity? Welo Data is seeking Data Quality Analysts for Project Perseus . This isn't just about labeling…
02
What data analysts earn in Washington
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $33–$48 | $69k–$100k |
| Mid level | $48–$63 | $100k–$131k |
| Senior | $60–$81 | $125k–$169k |
Adjusted for the Washington market from national ranges.
03
What employers ask for
The skills these listings keep naming
SQLExcel / Google SheetsTableau, Power BI, or LookerBasic statisticsPython or R (a plus)Data cleaningDashboard designPresenting findings clearlyBusiness domain knowledge
04
Interview questions worth rehearsing
With the thing the interviewer is actually listening for
A metric dropped 15% week over week. How do you investigate?
Segment first — by platform, region, source — and check for data issues before assuming a real change. A methodical decomposition is exactly what they want.
Walk me through a dashboard or report you built that people actually used.
Focus on the decision it supported and how you designed for the audience. Adoption is the success metric, not chart count.
How comfortable are you with SQL? Describe a complex query you wrote.
Mention joins, window functions, or CTEs in the context of a real question. Expect a live exercise, so pick an example you can reconstruct.
A stakeholder wants data that supports a conclusion they already hold. What do you do?
Show that you present what the data says, frame caveats respectfully, and stay useful without becoming a rubber stamp.
How do you check whether your analysis is correct before sharing it?
Talk about sanity checks against known totals, replicating with a second method, and having someone review the logic. Self-QA habits separate reliable analysts.
Correlation versus causation — give a business example where it matters.
Use a concrete case, like ice cream and sunburn or a marketing example, and mention what would move you toward causal confidence, such as an experiment.
05
Resume tips that move the needle
For data analysts specifically — generic advice costs you here
01
Tie each analysis to the decision or dollar outcome it drove — 'identified churn segment worth $400K in retained revenue' is the format that works.
02
List SQL first and honestly grade your level; it is the single most tested skill for this role.
03
Name the BI tools you have shipped dashboards in, and how many people relied on them.
04
Show domain context (e-commerce, SaaS, healthcare) because analysts are hired into a business, not just a toolset.
05
A small portfolio of public analyses with clear write-ups can offset limited job experience.
06
Where this role goes
Typical progression
01
Junior Data Analyst
02
Data Analyst
03
Senior Data Analyst
04
Analytics Manager
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