practice. HDR is currently looking for a Management Consulting Analyst for the Washington D.C. office. Analysts are expected to support... ...strategies.Collect, organize, and analyze quantitative and qualitative data fr…
Data Analyst jobs in Richmond, VA
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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Open data analyst roles
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reviewed at critical points.Work is done independently and is reviewed at critical points.Workplace type: Remote WorkingAbout NTT DATANTT DATA is a $30+ billion trusted global innovator of business and technology service…
Safety Specialist Pay Rate: $55-$58.62/hr Location: Richmond, VA Per Diem offered Summary: The Safety Specialist serves as an Owner Safety Representative (OSR) supporting construction activities on utility scale solar an…
deliver more impact together.Role description:As an Electrical Engineer you will lead the electrical discipline of multiple concurrent data center projects through pursuit, proposal, design, and construction phases. You…
WAM) or Willow Inpatient (WIP)Graduate of an accredited School of Pharmacy with a B.S. in Pharmacy or Pharm.D. DegreeThe Application Analyst- Pharmacist partners with the application team while working collaboratively wi…
Overview Principal Data Analyst - Business Cards & Payments - Field Strategy At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually…
Overview Data Engineer 4 (Manager, IC) Do you love building and pioneering in the technology space? Do you enjoy solving complex... ...tools and technologies Influence a team of developers, data analysts and data scienti…
Position: Senior Data Science Analyst Location: Richmond, Virginia Duration: Contract Job ID: 179944 Job Overview: The Senior Data Science Analyst will play a critical role in designing, building, and optimizing scalable…
will not have time to follow up and ask the vendor why its not there. ABOUT THE ROLE There is a need for a full-time Data/ Systems analyst to support enhancements and fixes for the MES Care Management Solution (CRMS). Th…
Overview Principal Data Analyst - Card Data AI Automation At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every…
weeks after offer accepted Parking: Parking is not provided for contractors The Office of Data Governance is seeking an experienced Data Governance Analyst to support implementation of the agency's Enterprise Data Govern…
Data Governance Analyst (Contract) Hybrid Richmond VA - Must reside in Central Virginia and be able to come onsite on demand Long-term contract We are looking for a Data Governance Analyst to support our Enterprise Data…
What data analysts earn in Richmond
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $26–$38 | $54k–$79k |
| Mid level | $38–$50 | $79k–$104k |
| Senior | $48–$64 | $99k–$134k |
Adjusted for the Richmond market from national ranges.
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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