Job-ID28098390Reference26-12134Data Analysis and Entry This short-term engagement will work to identify and update key data points into newly created fields within the R&M module of ServiceNow. Optimal candidate should h…
Data Analyst jobs
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.
No email, no resume, no sign-up. Save any listing below and you start anonymously.
You're signed in. Saving a listing drops it straight into your pipeline.
What data analysts earn in the US
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $26–$38 | $55k–$80k |
| Mid level | $38–$50 | $80k–$105k |
| Senior | $48–$65 | $100k–$135k |
National ranges. City pages adjust for the local market.
Open roles across the US
11 shown of 22,074 · sorted by freshness
Pending Headcount Approval Pending Sourcing Reason: Vacant Position Department: GRA GLOBAL PV - US2469 Job Category: IT Job Code: Data Analyst V Job Title: Data Analyst V Duties: Flexibility exists to work out of any of…
OverviewVTG is seeking a Data Analyst in Reston VA and Springfield VA. Position location will vary between the customer site in Springfield and Reston VA. What will you do?Develop and deploy advanced methods to analyze o…
We are looking for a Data Analyst to join a team in Somerset, New Jersey and turn complex information into actionable insight that strengthens fraud detection efforts. This contract opportunity with potential for a perma…
journey. As we modernize our operations and unlock the power of data across our business, we are seeking a skilled and driven Data Engineer... ...data services, and collaborate closely with data scientists, analysts, and…
What this Job Entails: The primary focus of the PCM Analyst will be on providing modeling, data analytics and pricing support to enable agile and effective decision making at some of our largest clients as well as around…
Job-ID29292005Reference26-25695In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Technology Operations. Review and analyze complex multi-facete…
Job Family: Data Management (DTA)Travel Required:Up to 10%Clearance Required:Ability to Obtain SecretWhat You Will Do:Guidehouse is currently seeking qualified Data Analysts & Product Managers to support Guidehouse's Def…
career. GRO offers a consistent, high-quality experience for new graduates across the organization. Step into your future as a Data Analyst — this is your opportunity to help shape the future of data-driven decision-maki…
Job Summary We are seeking a detail-oriented Data Analyst to collect, analyze, and interpret data to support business decision-making. The ideal candidate will have strong analytical skills and experience working with da…
We are seeking an experienced Data Analyst / Product Analyst with 10+ years of experience in Capital Markets, financial services, or banking environments. The ideal candidate will have strong hands-on expertise in SQL, P…
What employers ask for
The skills these listings keep naming
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.
Resume tips that move the needle
For data analysts specifically — generic advice costs you here
Tie each analysis to the decision or dollar outcome it drove — 'identified churn segment worth $400K in retained revenue' is the format that works.
List SQL first and honestly grade your level; it is the single most tested skill for this role.
Name the BI tools you have shipped dashboards in, and how many people relied on them.
Show domain context (e-commerce, SaaS, healthcare) because analysts are hired into a business, not just a toolset.
A small portfolio of public analyses with clear write-ups can offset limited job experience.
Where this role goes
Typical progression
Data Analyst jobs by city
Applying for data analyst jobs?
Robbi carries this page into your first day: your role, your city, your shift preference. Then it hands you a few small things each morning and keeps the pipeline honest.
Save what looks right here, then let Robbi hand you a few small things each morning and keep the follow-ups honest.