Richmond, VA. Our client has an opening for a Business Analyst 761252) This position is up to 13 months with the option of... ...its affiliates, third parties and partners processing my personal data for these purposes a…
Engineering & IT · Richmond, VA
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.
201
Open roles today
$26–$64/hr
Typical pay range
$92k
Median, full-time
2
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01
Open data analyst roles
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Depth Build and maintain ETL processes with SSIS (including Data Flow Tasks, Lookups, Merge Joins, Conditional Splits). Handle... ...business rules, and transformation logic. Collaborate with business analysts, QA, and d…
$100k - $120k
Job Description Job Description Data EngineerRichmond, VA 23219 (hybrid) Pay: $100,000-120,000 Role Summary The Senior Data Engineer is a hands-on expert and technical leader, actively engaged in designing, building, and…
Position: Senior Data Science Analyst Location: Richmond, VA (1 week in office, 1 week remote) Duration: 12 months Job ID: 178683 Job Overview: The Senior Data Science Analyst will play a critical role in designing, buil…
Job Description Job Description Senior Business Data Analyst Location: Richmond, VA (Hybrid) Job Type: Contract or Contract-to-Hire Pay: Competitive, based on experience LHH Recruitment Solutions is seeking a Senior Busi…
Data Governance Analyst (Contract) Remote - Must reside in Central Virginia and be able to come onsite on demand 1 year contract W2 or 1099 We are looking for a Data Governance Analyst to support our Enterprise Data Mana…
$90k - $180k
country. Job Description Senior Technical Business Systems Analysts (BSAs) at CapTech work side-by-side with business and technical... ..., and helping teams navigate complex systems, integrations, and data challenges. Y…
DBHDS Incident Management System. • We are seeking a Sr Business Analyst with a technical background to support software development IT... ...stakeholders and the development team • Work with other BSAs, Data Analysts, B…
$111.2k - $126.9k
Overview Senior Associate - Finance Data and Technology Risk Advisor Capital One is seeking a motivated professional for a Senior... ...regularly worked. McLean, VA: $111,200 - $126,900 for Sr. Analyst, Capital Markets &…
$131.3k - $149.8k
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…
believe in elevating humanity in business by delivering solutions that make a real impact on the lives of other people. As a Data Analyst, you will play a key role in transforming data into actionable insights that help…
Sr Data Analyst - 3 Positions Location: Richmond, VA (Onsite hybrid) Duration: 11 Months+ Top Skills: 3+ Yrs exp is a must SQL exp is a must Python & Pandas exp is a must AWS (EC2, Security groups) basic knowledge is a m…
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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.
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.
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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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