concatenations, resident loads, mapping, variables, and incremental loads. Candidates must have experience working with multiple data sources, such as SQL databases, APIs, Excel or CSV files, and enterprise data warehous…
Data Analyst jobs in Tampa, FL
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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science-related discipline or equivalent experience. Background in data collection, cleansing, statistical analysis, visualization, and... .... We are seeking a motivated, career- and customer-focused Data Analyst to joi…
Logistics Automated Information Systems Data Analyst Required Clearance: TS/SCI Ops Tech Alliance (OTA) is seeking a skilled Logistics Automated Information Systems (LOGAIS) Data Analyst to support logistics operations t…
Technology, Applications DevelopmentCompany: CitiAre you a Java virtuoso who sees code as a craft? Do you thrive on transforming complex data into powerful, elegant backend solutions? We're looking for a Senior Java Deve…
Job-ID29341369Reference26-26596Analytics and Reporting - Master Data Specialist Job Title: Master Data Specialist Onsite/Hybrid: 50% Onsite Site Locations: Tampa, FL is preferred, but Princeton Pike, NJ is acceptable Wor…
minimize environmental impact and foster vibrant and diverse communities around the globe.Jabil is seeking a Senior Labor Data/ Reporting Analyst to work onsite in our St. Petersburg, FL location.How will you make an imp…
Responsibilities:We are seeking an experienced Imagery Intelligence Analyst to provide expert GEOINT analysis and reporting in support of... ...for senior stakeholdersExperience with assessments, enterprise data integrat…
ensuring alignment with regional business needs.The Demand Planning Analyst plays a critical role within the Logistics and Planning function... ...and attention to detail.Ability to interpret and summarize data. Ability…
Fraud, or Marketing — within our Analytics & Insights team. In this role, you will own the full analytics lifecycle, from building data pipelines and writing structured SQL queries in AWS Redshift, to developing compelli…
Transparency: $66,000 - $97,000 based on experience and credentials Location Type: Remote Position Type: Full Time The Call Center Data Analyst II performs the detailed, comprehensive development of Suncoast Credit Union…
Company Overview: Integrated Data Services (IDS) is a leading provider of custom software products and Government financial management services. IDS was founded in 1997 in El Segundo, CA, and since that time has seen tre…
Operations Data Analyst – Nationwide Events (Remote – U.S.) Location: Remote (United States) Job Type: Full-Time Pay: $70,000 – $80,000 annually (based on experience) About Us The Heartland Roadshow operates large-scale…
What data analysts earn in Tampa
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 Tampa 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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