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…
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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Data Engineer Location: Brentwood, TN (Hybrid) Position Type: 12-Month Contract Schedule: Full-Time, 40 Hours per Week (Monday... ...technology partners. You'll work closely with developers, analysts, product owners, and…
About the Position We are seeking a Senior Business Analyst to bridge the gap between business stakeholders and technical development... ...with healthcare IT, hospital operational workflows, or health data integrations.…
Need local candidate only Business Unit Analyst The Business Unit Analyst serves as the liaison between business stakeholders... ...integration of US SAFR with HRTS, ensuring business processes, data exchanges, and syste…
projects valued at more than $300 billion. Learn more at [ getbuilt.com .]( Built is looking for a Senior Engineering Manager, Data to lead our growing data organization. In this role, you will guide a high-impact group…
Data Engineer LaSalle Network is hiring for a Data Engineer with a client that is focused on government solutions and consulting services. LaSalle Network is partnering with our client to hire a Data Engineer in Brentwoo…
Job Description: Data Processing Analyst Location: Nashville, TN(Hybrid) Rate: 32/hr on 1099. Required Pre-interview Survey: All candidates must complete survey at Position Description: ~ The Data Processing Analyst supp…
Job title: Business Analyst Sr. Level Location: Nashville, Tennessee Duration: 48 Months Description: Key Responsibilities Partner with business units to gather, analyze, and document business requirements. Create and ma…
Job Overview Job Title: Data Entry Analyst Company: Mountain View Inc. Location: Nashville, Tennessee, United States Employment Type: Full-Time Salary: $25 - $35 USD per hour Mountain View Inc. is a trusted importer and…
partnering with organizations across healthcare, finance, technology, manufacturing, and professional services seeking experienced Data Analysts who can transform complex data into actionable business insights. This role…
Who You’ll Work With We are seeking a Business Analyst to join our Client Infrastructure Services team within Global Technology & Operations. This role will support Bernstein’s Wealth Planning Tools, including the firm’s…
JOB DESCRIPTION Job Title Demand Generation Data Analyst Job Description We’re seeking a marketing analytics professional who partners cross‑functionally to deliver advanced, AI‑driven insights across campaigns and the f…
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
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