Requirements: We require a bachelors degree in Business Analytics, Data Science, Statistics, Computer Science, or a related discipline.... ...Tableau More: We are hiring a Business Intelligence Analyst to turn data into…
Data Analyst jobs in Miami, 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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lifetime of vacations for our guests. The Royal Caribbean Group has an exciting career opportunity for a full time Senior Analyst, Data Architect reporting to the Senior Manager, Data Analytics & AI . Position is onsite…
: Summary: Responsible for data analysis in support of a variety of healthcare analytic solutions. Support performance improvement... ...healthcare data warehouse solution. · Collaborate with other analysts and developer…
Effort: Position is Subject to Contract Award*Must be able to provide 3 professional referencesPOSITION DESCRIPTION:The Data Entry Clerk / QA Analyst supports NOAA, which collects, analyzes, and maintains critical fisher…
experience in business intelligence, analytics, reporting, or other data- centric roles. We look for strong experience designing and... ...that expand business capability. We mentor and support other analysts through coa…
000 per year Requirements: We require a bachelors degree in data analysis, statistics, supply chain management/logistics, computer... ...America, and the Caribbean. Our Miami, FL team is hiring a Data Analyst for our Bra…
Kforce has a client in Miami, FL that is seeking a Senior BI Data Analyst. Summary: The Senior Business Intelligence (BI) Data Analyst is responsible for delivering data-driven solutions that support strategic business d…
$53/hr 1099/Corp-to-Corp or $49/hr-W2 JOB LENGTH : 9 Months One of Infonet's premier clients has an opening for a Product Data Analyst. (970) TERMS : Contract SCOPE OF WORK • Collect, clean, transform, and analyze data f…
Description Description: Trax is currently seeking a Technical Product Analyst (TPA) to play a key role in shaping and delivering a scalable... ...at the intersection of product management, engineering, and data, combini…
Overview A leading global alternative investment firm is seeking a Fundamental Equities Data Analyst to join its New York, Stamford, San Francisco, Chicago or Miami offices. The firm is looking for bright, motivated, and…
REVENUE AND MARKETING ANALYST The Revenue & Marketing Analyst (RMA) is responsible for supporting efforts to generate shipboard revenue by analyzing data and delivering insights. The RMA provides critical visibility to s…
Data Analyst Location: Miami, FL Reports to: Director of Data Department: Engineering About eMed eMed is a pioneering digital-health leader built on its Empathetic AI™ Population Health Platform. Our primary mission is t…
What data analysts earn in Miami
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $29–$42 | $61k–$88k |
| Mid level | $42–$56 | $88k–$116k |
| Senior | $53–$71 | $110k–$148k |
Adjusted for the Miami 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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