critical infrastructure that supports the digital age and shapes the spaces where people work, connect, and thrive. From high-performance data centers driving the future of AI to dynamic commercial environments, your wor…
Data Analyst jobs in Nashville, TN
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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workflows, quality measures, operational processes, or healthcare data. We prefer experience supporting, implementing, optimizing,... ..., and we invite you to join our team as a Senior Data Usability Analyst. Our Clinic…
in the life sciences industry. The Migration Consultant will lead customer migration implementations by providing expertise with data and document content migration, Vault API, Vault migration tools, and Vault Platform b…
Planning & Operations is seeking an experienced Business Operations Analyst to partner closely with the AI Infrastructure Sales and... ...someone who can take ownership in an environment where processes, data, and operat…
with Finance, Contracts, Legal, Shared Services, Accounts Receivable, Purchasing, and Risk Management to ensure accurate and timely data center invoice processing. We collect, enter, validate, correct, and assess data to…
clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. Work you'll do As a PROJECT - Data Engineer II on the AI & Data team, you will be responsible for… Designing, de…
borders to develop and lead global initiatives. We deliver strategic programs and services that unite our organization. The Director, Data Management & AI Readiness is responsible for defining and leading the strategy, o…
Power sector, you’ll help shape how electricity is generated, transmitted, and delivered as global energy demands grow. From massive data centers to modernizing transmission systems, our industry-recognized engineers and…
Business Analysts are responsible for converting data into actionable business insights. They are analysis experts who leverage a variety of data platforms and analytical tools to provide timely, meaningful, and consumab…
DXC Technology (NYSE: DXC) helps global companies run their mission critical systems and operations while modernizing IT, optimizing data architectures, and ensuring security and scalability across public, private and hy…
Accenture's SAP Analytics practice, you will be a member of a delivery teams and focus on client engagements centered on SAP's modern data and analytics platform — including SAP Datasphere, SAP Analytics Cloud (SAC), and…
Req ID:373262NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.We are cu…
What data analysts earn in Nashville
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 — pay in Nashville typically tracks these.
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
Applying for data analyst jobs in Nashville?
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