currently looking for a Growth Operations & Business Development Analyst for a 100% remote position supporting VetsEZ's federal business... ...by conducting market research, maintaining Salesforce data, analyzing pipelin…
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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DescriptionJob SummaryThe Supply Chain Systems & Data Governance Analyst plays a vital role in maintaining and optimizing the item master data that powers critical supply chain operations across the health system. Direct…
Managing Director, Data Engineering & AIWho You'll Work WithAs a Managing Director in Slalom's Data & AI practice, you will lead the growth of our Data Engineering & AI business by helping clients modernize their data fo…
Job Title: Salesforce - Business Analyst You are an experienced Salesforce Business Analyst with a passion for solving complex business... ...business workflows to assist in stakeholder alignment* Capture data, reporting…
priorities change rapidly, and tight deadlines exist is required. Ability to assess, interpret and draw conclusions from complex business data and communicate findings and recommendations to others clearly and accurately…
brand has an exciting career opportunity for a full-time Senior Analyst, Product Development on the Marketing – Product Development Team... ...business cases and P&L analyses for new initiatives, leveraging data, benchma…
Seeking an experienced Oracle OBIEE / OAS Data Engineer with strong expertise in Oracle Analytics Server, Oracle Database, SQL/PL/SQL, ETL, and Data Warehousing. The ideal candidate will be responsible for developing and…
Data Analyst Acerca de Zemsania: Zemsania es una consultora tecnológica líder, comprometida con la excelencia y la innovación. Nos dedicamos a ofrecer soluciones integrales a nuestros clientes, impulsando su transformaci…
SheMed will be a strong force in closing the women’s health gap. We are seeking a highly analytical, commercially minded Senior Data Analyst, Marketing to become a key partner to the marketing team at SheMed. This role w…
Engineering Underwriting Role: As an Engineering Underwriting Analyst in the Swiss Re Graduate Programme, you will develop a 360° view... ...and global critical projects such as semiconductor plants, data centres, batter…
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…
signals, and live portfolios rather than purely theoretical research. You will work directly with production strategies, proprietary data, and live trading systems to determine which signals are selected, how risk is man…
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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