100+ Data & Analytics Jobs in Miami, FL

Observed local posting ranges across the full Data, Analytics & AI category center on about $112k to $160k, with a broader 25th-75th band of about $85k to $245k. Estimated data-analyst-only proxies are lower: about $94,290 median in one Miami estimate, about $95,000 average total compensation in another, and about $79,000 for entry-level analyst compensation.

Full July 2026 market report

Advertised pay

Across the 36 openings that disclose pay, the advertised range midpoint runs $97,633 at the 25th percentile, $124,900 at the median and $137,750 at the 75th. These are advertised ranges, not earned pay.

Active openings as of September 7, 2026

Senior roles | Entry level | Remote | Posted this week

Live from the Callings.ai index of over 13 million postings, refreshed hourly and re-checked here nightly. Roles that close are dropped at the next refresh.

Showing 30 of 106 openings.

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What our analysts see this month

Competitive market | next 3-6 months

This is a competitive but still workable market for Data, Analytics & AI in South Florida. Miami metro unemployment was 3.9% in June 2026, below Florida's 4.7%, and metro nonfarm employment was slightly up year over year, which says the local economy is still supporting hiring even if it is not accelerating fast. For the occupation family, Florida Data, Analytics & AI postings were up 5.1% year over year in July while Florida employment in the category was essentially flat, which usually means openings exist but employers can afford to be picky. Local opportunity is real, but it is tilted toward mid-career candidates, with only about 10% of sampled postings at entry level and remote work the minority.

Best positioned: Candidates with a few years of experience who can show Python, SQL, dashboards, and business KPI work have the best odds right now.

Main caution: The biggest risk is assuming strong AI buzz means broad access; the local sample is mostly mid-level, mostly on-site or hybrid, and visa sponsorship appears in less than 5% of postings that state a policy.

From the July 2026 market report

Who is hiring here

Counted across all 106 openings in this market. 10 of the employers below are hiring for more than one role right now.

1. Base-2 Solutions, LLC.: 14 open roles
2. Agoda: 4 open roles
3. Royal Caribbean International: 4 open roles
4. Deloitte: 3 open roles
5. FirstService Residential: 3 open roles
6. NationsBenefits, LLC: 3 open roles
7. WorkSummits: 3 open roles
8. Ajaia: 2 open roles
9. Blackstone Group: 2 open roles
10. Crowe: 2 open roles

Where the openings are

• Miami: 56
• Doral: 9
• Plantation: 8
• Fort Lauderdale: 6
• Coral Gables: 5
• Sunrise: 4
• Miramar: 3
• Miami-Dade County: 2

Work arrangement

on-site 71 (69%), hybrid 21 (20%), remote 11 (11%)

Where the demand is

Real opportunity is not evenly spread across the metro. In the sampled postings, financial services account for about 25% of demand and healthcare about 15%, while business consulting and services and professional services / consulting each contribute about 10%. Hiring is also fragmented rather than dominated by one employer, with repeat names including Deloitte, AJAIA, Stationed, Nebulai, WSP Global Inc., CASE Consultants International, Prescient Edge, and American Express Company. That mix matters because it rewards candidates who can connect analysis to an operating function. A recent Miami opening through Insight Global centered on advanced SQL, BI dashboards, and operational KPIs such as CSAT and time-to-first-response, while a West Palm Beach posting from PBACO Holding LLC shows that demand extends beyond Miami proper into healthcare-adjacent employers on the Palm Beach side of the metro. The broader metro backdrop also favors business-facing employers over pure information-sector bets right now, because Professional and Business Services is growing locally while Information is shrinking.

• Enterprise financial services analytics (high): Financial services makes up about 25% of the local sample, and enterprise employers represent about 45% of postings, so this is the clearest lane for candidates who can tie analytics to revenue, risk, or customer performance.
• Healthcare and healthcare-adjacent reporting (moderate): Healthcare accounts for about 15% of sampled demand, and the PBACO Holding LLC example shows current hiring on the West Palm Beach side of the metro as well.
• Consulting and customer-operations analytics (moderate): Consulting-related industries together make up about 20% of the sample, and a recent Miami opening emphasized advanced SQL, dashboards, and service KPIs over pure modeling.

Where to focus: Prioritize mid-level roles at enterprise financial, healthcare, and consulting employers where you can show SQL, Python, and dashboard work tied to operational or revenue KPIs.

Roles worth searching next

• Customer Operations Analyst: A recent Miami opening centered on service metrics, dashboards, CSAT, and response-time KPIs, which makes customer operations a practical bridge for analytics candidates with SQL and reporting strength.
• Healthcare Operations Analyst: Healthcare represents about 15% of the local sample, and the PBACO Holding LLC posting shows active demand in healthcare-adjacent analysis inside the metro.
• FP&A or Finance Analyst: Financial services is the largest local demand segment at about 25%, and even the limited certification signal includes licensed CPA in less than 5% of postings, which suggests some analytics work sits close to finance functions.
• Business Analyst: This market rewards people who translate data into operating decisions, especially in consulting and service environments where stakeholder-facing KPI work is prominent.

What postings ask for

• Python (table_stakes | immediate): Python appears in about 70% of sampled local postings, making it the clearest baseline technical screen in this market. Who: Everyone except the most purely reporting-focused candidates.
• SQL (table_stakes | immediate): SQL shows up in about 45% of local postings, and a recent Miami role explicitly asked for advanced SQL in hands-on reporting and KPI work. Who: Entry-level candidates, switchers, and anyone targeting analyst titles first.
• Machine learning (differentiator | near-term): Machine learning appears in about 30% of sampled postings, which helps candidates move above dashboard-only competition. Who: Mid-career analysts and data scientists who already have strong SQL and business communication.
• Power BI and data visualization (differentiator | immediate): Data visualization appears in about 20% of local postings and Power BI in about 15%, matching employer demand for decision-ready dashboards rather than raw analysis alone. Who: Entry-level candidates and switchers who need fast proof of business usefulness.
• Cloud platform fluency (premium | near-term): AWS appears in about 15% of local postings, and broader 2026 hiring guidance also flags AWS, Azure, and Google Cloud Platform as in-demand for data science work. Who: Mid-career candidates trying to reach higher-paying analytics, ML, or platform-adjacent roles.
• AI-native workflow validation (differentiator | immediate): Analytics tools increasingly embed copilots for SQL, exploration, and dashboard drafts, and employers increasingly want people who can prompt well, validate output, and integrate AI results into a real analysis. Who: All candidates, especially people competing against more experienced applicants.

Questions about this market

What do Data, Analytics & AI roles pay in Miami-Fort Lauderdale-West Palm Beach, FL?

Observed local posting ranges across the full Data, Analytics & AI category center on about $112k to $160k, with a broader 25th-75th band of about $85k to $245k. Estimated data-analyst-only proxies are lower: about $94,290 median in one Miami estimate, about $95,000 average total compensation in another, and about $79,000 for entry-level analyst compensation. That spread suggests the local headline range is being pulled up by senior, engineering-leaning, and AI-heavy roles rather than typical junior analyst jobs. Florida's mean offered salary on new openings for the category was about $106,765 in July 2026, versus about $73,487 across all Florida occupations.

Where is demand for Data, Analytics & AI roles in Miami-Fort Lauderdale-West Palm Beach, FL concentrated?

Real opportunity is not evenly spread across the metro. In the sampled postings, financial services account for about 25% of demand and healthcare about 15%, while business consulting and services and professional services / consulting each contribute about 10%. Hiring is also fragmented rather than dominated by one employer, with repeat names including Deloitte, AJAIA, Stationed, Nebulai, WSP Global Inc., CASE Consultants International, Prescient Edge, and American Express Company. That mix matters because it rewards candidates who can connect analysis to an operating function. A recent Miami opening through Insight Global centered on advanced SQL, BI dashboards, and operational KPIs such as CSAT and time-to-first-response, while a West Palm Beach posting from PBACO Holding LLC shows that demand extends beyond Miami proper into healthcare-adjacent employers on the Palm Beach side of the metro. The broader metro backdrop also favors business-facing employers over pure information-sector bets right now, because Professional and Business Services is growing locally while Information is shrinking.

Which employers are hiring the most Data, Analytics & AI talent in Miami-Fort Lauderdale-West Palm Beach, FL?

Recent postings show the most activity from Deloitte (5 postings), AJAIA (5 postings), Stationed (5 postings). See the full market report for the complete employer landscape.

Can Data, Analytics & AI roles in Miami-Fort Lauderdale-West Palm Beach, FL be done remotely?

Of recent postings, 20% are remote and 30% hybrid, with 55% on-site. Use the Remote filter above to see only remote openings.

How current are these listings?

Openings come from the Callings.ai live index of over 13 million jobs, refreshed hourly. This page searches postings from the last 30 days; run the search yourself to filter by anything else in plain language.

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