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Data Analytics Jobs in Miami, FL (NOW HIRING)

BankUnited

Data Analytics Engineer

Miami Lakes, FL · On-site

$103K - $124K/yr

The Data Analytics Engineer will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ...

Royal Caribbean Group

Data Analytics Engineer

Miami, FL · On-site

$109K - $131K/yr

The Data Analytics Engineer will support the Revenue Management Development and Systems team by designing, developing, and implementing data processes, reporting, and analytics solutions.

Royal Caribbean Cruise Line

Data Analytics Engineer

Miami, FL · On-site

$109K - $131K/yr

The Royal Caribbean Group's Revenue Planning & Analysis Team has an exciting career opportunity for a full time Data Analytics Engineer reporting to the Data Analytics Engineer Lead. The position is ...

Royal Caribbean Group

Data Analytics Engineer

Miami, FL · On-site

$109K - $131K/yr

The Royal Caribbean Group's Revenue Planning & Analysis Team has an exciting career opportunity for a full time Data Analytics Engineer reporting to the Data Analytics Engineer Lead. The position is ...

Ci

Data Science and Analytics Manager

Miami, FL

Data Science and Analytics team leadership. Manage data analysts delivering dashboards, recurring reports, and ad-hoc analysis. Establish consistent standards for data science and analytics ...

eMed LLC

Data Analyst

Miami, FL · On-site

Develop and implement data stores, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality * Acquire data from primary or secondary data sources ...

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All JobsData Analytics JobsData Analytics Jobs in Miami, FL

Data Analytics information

See Miami, FL salary details

$23

$52

$90

How much do data analytics jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for data analytics in Miami, FL is $52.36, according to ZipRecruiter salary data. Most workers in this role earn between $42.07 and $59.33 per hour, depending on experience, location, and employer.

How does a Data Analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What are the key skills and qualifications needed to thrive as a Data Analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What are the most commonly searched types of Data Analytics jobs in Miami, FL? The most popular types of Data Analytics jobs in Miami, FL are:
What are popular job titles related to Data Analytics jobs in Miami, FL? For Data Analytics jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Data Analytics jobs in Miami, FL look for? The top searched job categories for Data Analytics jobs in Miami, FL are:
What cities near Miami, FL are hiring for Data Analytics jobs? Cities near Miami, FL with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Miami, FL as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $108,913 per year, or $52.4 per hour.

Data Analytics Engineer

BankUnited

Miami Lakes, FL • On-site

$103K - $124K/yr

Full-time

Re-posted 3 days ago

BankUnited rating

8.0

Company rating: 8.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

72nd of 170 rated banks

Job description

JOB SUMMARY: The Data Analytics Engineer will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Analytics Engineer will support our data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives. This individual will also be responsible for supporting business units across the organization through the utilization of technical and business knowledge to recommend solutions that solve business problems and reporting needs, amongst other skill sets. This includes identifying and defining data analytics needs as well as the structuring and analysis of data from multiple source systems for the purposes of creating and maintaining reporting (e.g. visual and flowchart modeling). The Data Analytics Engineer works closely with a multifunctional team of data engineers, data analysts, and AI/ML solutions engineers. As a result, this individual is exposed to bleeding-edge generative AI technology and the latest large language models and will have a hand in helping develop full-stack applications that leverage those technologies.
ESSENTIAL DUTIES AND RESPONSIBILITIES
  • Creates and maintains optimal data pipeline architecture
  • Assembles large, complex data sets that meet functional / non-functional business requirements.
  • Identifies, designs, and implements internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Works closely with IT departments to build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS 'big data' technologies
  • Combines raw information from different sources to create consistent and machine-readable formats
  • Develops and tests architectures that enable data extraction and transformation for predictive or prescriptive modeling
  • Supports the data mining, reporting and general analytics needs of the department
  • Identifies process gaps and recommend new opportunities for process improvement through the use of quantitative analytics
  • Applies statistical techniques to interpret risk and develop solutions for business consumption
  • Leverages understanding of multiple data structures and sources to perform complex data manipulation using advanced data extraction and analytical tools and techniques
  • Recognizes the connection between the business operations and analytics to influence business strategies through the interpretation and explanation of data to stakeholders
  • Supports development of innovative approaches and best practices
  • Performs any other assignments as directed by manager.
  • Adheres to and complies with applicable, federal and state laws, regulations and guidance, including those related to anti-money laundering (i.e. Bank Secrecy Act, US PATRIOT Act, etc.).
  • Adheres to Bank policies and procedures and completes required training.
  • Identifies and reports suspicious activity.

QUALIFICATIONS
Education
  • Bachelor's Degree in Computer Science, Data Analytics, Data Science, Management Information Systems or a related field

Experience
  • At least 4 years working with data modeling, software implementation, enhanced reporting analytics and/or related experience in financial services data analysis and/or application development
  • Required hands-on experience with Snowflake, including data modeling, performance optimization, and building and maintaining production data pipelines
  • Preferred experience with dbt (data build tool) for data transformation, testing, and analytics workflow orchestration
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement

Knowledge, Skills, and Abilities
  • Mastery of analytic and data visualization tools such as SAS, SQL, Adobe Analytics Tableau, Google Analytics, Python or R, AWS Cloud Services (Cloudwatch ,EC2, EMR, Redshift, Athena,Glue) etc
  • Ability to multitask, meet deadlines, manage competing demands/multiple projects, maintain a strong sense of urgency and follow through in addressing issues
  • Effective and persuasive presentations (verbal and written) for project teams and business leaders
  • Maintains strong attention to detail in high-pressure situations
  • Solid understanding of data warehouse and dimensional modeling concepts

Additional Information
  • Candidates residing in locations within BankUnited's footprint may be given preference.

Candidates residing in locations within BankUnited's footprint may be given preference.

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