Job Description Job Description SiloSmashers is seeking a Senior Intelligence Data Analyst to assist our intelligence community client with counterintelligence support.The Senior PM leads a project to develop tools that…
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.
2,547
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
8 shown of 2,547 · sorted by freshness
$111.16k - $150.39k
Infrastructure and Operations Job Qualifications: Skills: Data Engineering, Data Requirements, Data Warehousing (DW),... ...Citizenship Required: No Job Description: Business Data Analyst Seize your opportunity to make a…
$49 - $52 per hour
Job Description Job Description Team Red Dog is hiring a Business Intelligence & Data Quality Analyst for our client, a leading cloud and software provider and AI-driven technology organization. This highly visible remot…
$31.88 - $47.83 per hour
The Business Data Analyst works closely with business lines to solve complex data and process improvement problems. Helps to define problem, data needs and definitions to make recommendations on a solution. Supports the…
Job Description Job Description Data Intelligence Analyst (DoD Secret | Remote) Location: Remote (U.S.-Based) Clearance: Active DoD Secret Clearance (or higher) Make an Impact on Military Healthcare and Readiness This ro…
nation’s safety and security. Make an impact by using your expertise to protect our country from threats. Job Description DATA ANALYST YOUR IMPACT Own your opportunity to support national defense. Your work will help kee…
Performance/ Data Analyst III Location: Washington, DC / DOJ Facilities / JMD OCIO / NCC Clearance / Background: U.S. Citizen required; active Secret clearance minimum; Top Secret/SCI eligibility strongly preferred Exper…
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…
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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.
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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.
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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.
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List SQL first and honestly grade your level; it is the single most tested skill for this role.
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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.
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Where this role goes
Typical progression
01
Junior Data Analyst
02
Data Analyst
03
Senior Data Analyst
04
Analytics Manager
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