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Data Analyst Jobs in Miami, FL (NOW HIRING)

Data Analyst

Miami, FL ยท On-site

Data Analyst Location: Miami, FL - Onsite 5 days/week Type: 6-month Contract-to-Hire Role Overview We are seeking Data Analysts to join our growing team. This role will focus on building and ...

We are seeking to expand our team with a strategic, detail-oriented, and highly analytical Data Analyst across various seniority levels. The successful candidate will be instrumental in transforming ...

Data Analyst

Miami, FL ยท On-site +1

$75K - $85K/yr

Data Analyst Location: Remote (Central or Eastern U.S.) Compensation : $75,000-$85,000 DOE annual base salary + 10% annual target bonus Visa Sponsorship: Currently, World Fuel is unable to provide ...

Data Analyst

Miami, FL ยท On-site +1

$75K - $85K/yr

Data Analyst Location: Remote (Central or Eastern U.S.) Compensation : $75,000-$85,000 DOE annual base salary + 10% annual target bonus Visa Sponsorship: Currently, World Fuel is unable to provide ...

Data Analyst

Miami, FL ยท On-site

Expert-level proficiency in SQL, Python, Power BI, VBA, and Alteryx is essential, as these tools are foundational to driving advanced analytics, automation, and scalable data solutions across the ...

Financial Data Analyst

Miramar, FL ยท Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Financial Data Analyst Req number: R6473 Employment type: Full time Worksite flexibility: Onsite Who we are CAI is a global services firm with over 9,000 associates worldwide and a yearly revenue of ...

Title: Lead Data Analyst Location: Miami, Fl ( 4 days onsite) - Travel industry (not Carnival and not NCL) Duration: 6 Months CTH Notes * Focus on Power BI, SQL, ETL. Retrieving Data & Analyzing.

As the Data Analyst Researcher , you'll build and deliver the research behind those decisions. You'll design studies, analyze quantitative data, measure product efficacy and return on investment (ROI ...

As the Data Analyst Researcher , you'll build and deliver the research behind those decisions. You'll design studies, analyze quantitative data, measure product efficacy and return on investment (ROI ...

* Focus on PowerBI, SQL, ETL. Retrieving Data & Analyzing. * Looking for 2-5years of exp not more than that * This position will focus on building scalable analytics solutions, developing predictive ...

Junior Data Analyst

Plantation, FL ยท On-site

$25 - $36/hr

  • Medical

  • Vision

  • Retirement

  • PTO

Position: Jr. Data Analyst Location: Plantation, FL (Possibility for 1-2 Remote Days) Pay Rate: $25-$36 Hourly Based On Experience 6-12 Month Contract to Hire!! Looking to HIRE RIGHT AWAY!! Skills ...

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Showing results 1-20

Data Analyst information

See Miami, FL salary details

$32.5K

$79K

$130.1K

How much do data analyst jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data analyst in Miami, FL is $79,041.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,800.00 and $92,800.00 per year, depending on experience, location, and employer.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

What are the most commonly searched types of Data Analyst jobs in Miami, FL?

The most popular types of Data Analyst jobs in Miami, FL are:

What cities near Miami, FL are hiring for Data Analyst jobs?

Cities near Miami, FL with the most Data Analyst job openings:

Infographic showing various Data Analyst job openings in Miami, FL as of August 2026, with employment types broken down into 81% Full Time, and 19% Contract. Highlights an 95% In-person, and 5% Hybrid job distribution, with an average salary of $79,041 per year, or $38 per hour.

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Job description

Overview:
Data Analyst
Location: Miami, FL - Onsite 5 days/week
Type: 6-month Contract-to-Hire
Role Overview
We are seeking Data Analysts to join our growing team. This role will focus on building and maintaining dashboards, reports, and analytical deliverables that provide visibility into key business metrics such as pipeline health, lead conversion, win/loss rates, ARR, and churn.
The ideal candidate will have strong SQL skills, experience with BI tools, and a solid understanding of revenue operations data in SaaS environments.
Key Responsibilities
  • Develop and maintain dashboards/reports tracking pipeline, ARR, churn, and other KPIs.
  • Write clean, well-documented SQL queries in BigQuery to support ad hoc analysis.
  • Partner with Sales, Marketing, and Customer Success teams to translate data needs into actionable insights.
  • Ensure data accuracy and integrity across CRM and RevOps systems.
Required Skills
  • 3+ years in data analysis or business intelligence, preferably in SaaS/technology.
  • Strong SQL expertise (complex queries, window functions, CTEs).
  • Experience with BI tools (Looker, Tableau, Power BI, etc.).
  • Understanding of RevOps metrics (pipeline, ARR, CAC, LTV, churn).
  • Familiarity with CRM data (Salesforce, HubSpot).
Nice to Have
  • Experience with dbt-modeled data or data modeling concepts.
  • Familiarity with Python for advanced analysis.
  • Knowledge of Stripe, Clari, or other RevOps tools.

Skills:
SQL,DATA ANALYSIS