Role Description We are seeking an experienced Business Intelligence (BI) / Data Analyst to support our client. The successful candidate will: ~Develop and maintain enterprise dashboards. ~Perform data analysis. ~Automat…
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.
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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
12 shown of 43,168 · sorted by freshness
Role Description We have an exciting opportunity for a Research Scientist III- Data Analyst at UL Research Institutes. This is a remote-based opportunity. The Research Scientist III works with data, develops preliminary…
Role Description We are seeking a Data Governance Consultant to drive enterprise-level data integrity and compliance within a large-scale financial services environment. This role requires a hands-on expert capable of na…
Role Description The Data Quality Analyst will play a key role in evaluating scientific data submissions across the translational research continuum, ensuring accuracy, completeness, and adherence to established standard…
Role Description Remote, Nationwide – Seeking Business and Data Analyst Everybody Has A Role To Play In Transforming Healthcare. At Vituity you are part of a larger team that is driven by our purpose to improve lives. We…
Role Description We’re looking for a motivated Remote Data Analyst to turn complex data into actionable strategies—helping our team make smarter decisions from anywhere. ~Collect, clean, and analyze data from multiple so…
You will serve as the Subject Matter Expert (SME) for clinical data completeness and effectiveness at Counterpart Health. Sitting within... ...on is consistently available and trustworthy. As a Data Analyst, you will: ~P…
Role Description We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You’ll engage with our team of educators to validate and iterate t…
Role Description The Product Data Analyst will play a crucial role in driving data-driven decision-making across the Product Solutions organization. This role is the facilitator of all aspects of the Product Solutions da…
Role Description We're looking for a Product Analyst to join our centralized Analytics team and help us better understand how our customers... ...feature measurement, build reports, and help the business make data- infor…
Role Description This is a remote position. Our client is looking for a Data Analyst & Tracking Specialist to take ownership of their digital measurement, tracking, and performance reporting ecosystem on a part-time, ful…
high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. ~Conduct in-depth data analysis using Microsoft Excel to extract actionable insights and support decision-mak…
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
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