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Data Analytics Jobs in Miami, FL (NOW HIRING)

SEI

Data and Analytics Consultant

Miami, FL · On-site

WHAT WE DO Our Data and Analytics consultants work with clients at all levels of the organization, from the C-suite to the shop floor, helping them to deliver on their most strategic initiatives. We ...

Stellar IT Group

Data Analyst

Miami, FL · 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 ...

eMed LLC

Analytics Engineer

Miami, FL · On-site

Data & Analytics About eMed eMed is a digital-health company built on its Empathetic AI™ Population Health Platform. We partner with large employers, health plans, unions, and government programs ...

Munich Re

Sr. Solution Architect

Hollywood, FL · On-site

This role is accountable for proactively leading data, analytics, and AIdriven technology transformation initiatives and enabling measurable business outcomes across the enterprise. The Enterprise ...

Munich Re

Sr. Solution Architect

Fort Lauderdale, FL · On-site

This role is accountable for proactively leading data, analytics, and AIdriven technology transformation initiatives and enabling measurable business outcomes across the enterprise. The Enterprise ...

Munich Re

Sr. Solution Architect

Hollywood, FL · On-site

This role is accountable for proactively leading data, analytics, and AIdriven technology transformation initiatives and enabling measurable business outcomes across the enterprise. The Enterprise ...

1 point system

Data Analyst

Miami, FL · 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 ...

Munich Re

Sr. Solution Architect

Hialeah, FL · On-site

This role is accountable for proactively leading data, analytics, and AIdriven technology transformation initiatives and enabling measurable business outcomes across the enterprise. The Enterprise ...

ManTech International

Senior Data Scientist

Doral, FL · On-site

Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career forward and be part of something extraordinary. Your journey starts now-protect and innovate with ...

ManTech

Senior Data Scientist

Doral, FL · On-site

Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career forward and be part of something extraordinary. Your journey starts now-protect and innovate with ...

DHL eCommerce

Manager Commercial Analytics

Weston, FL · On-site

Job Brief The Manager Commercial Analytics is responsible for overseeing all commercial and customer data analytics, with a strong focus on piece level data (PLD) analysis to create customers profile ...

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Showing results 41-60

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 30, 2026, the average hourly pay for data analytics in Miami, FL is $52.28, according to ZipRecruiter salary data. Most workers in this role earn between $42.02 and $59.23 per hour, depending on experience, location, and employer.

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.

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 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 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.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

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 August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $108,913 per year, or $52.4 per hour.

Data and Analytics Consultant

SEI

Miami, FL • On-site

Full-time

Re-posted 16 days ago

Job description

WHO WE LOOK FOR
An SEI-er is a master communicator and active listener who understands how to navigate an audience. Self-aware, almost to a fault, SEI-ers keenly understand how to adjust their support and problem solving based on the situation. Following a logical, fact-based approach, SEI-ers possess the superior ability to see correlations others may not, ask the right questions and drive solutions.
As super-connectors, they connect not only people, but data, trends and experiences. Mature, humble, and genuine, SEI-ers frequently go above and beyond for both their clients and their colleagues. SEI-ers are ethical and trustworthy individuals who consistently and repeatedly follow through, and hold true to their values in difficult situations. SEI-ers have an insatiable curiosity and love to learn. These individuals are commonly tech savvy and early adopters. Their passion for learning is infectious and excites others. As every project is different, an SEI-er must be adaptable and comfortable with unexpected situations. SEI-ers define ambition differently. They are authentic, low-maintenance individuals who truly enjoy one another- they like to hang out with colleagues outside of work, collaborate and hold one another accountable. SEI-ers enjoy working with genuine, thoughtful folks who want to steer clear of the traditional grind and share the joy of day-to-day life and activities with colleagues, friends, and family.
WHAT WE DO
Our Data and Analytics consultants work with clients at all levels of the organization, from the C-suite to the shop floor, helping them to deliver on their most strategic initiatives. We're known for making realistic, data-driven decisions that deliver value in tangible ways to our clients. Our clients ask for us on projects that require a superior combination of technical and business capabilities, people and management skills, and a collaborative mindset. We excel in understanding complex programs and strategic initiatives and breaking them into actionable pieces.
We are actively looking for professionals in the following areas:
  • Data Strategy
  • Data Governance
  • Data Modernization
  • Advanced Analytics
  • Data Visualization

The ideal candidate's experience may include but is not limited to the following:
  • Have experience understanding and solving real business problems
  • Have experience with presenting business case and strategy to the C-Suite
  • Bring industry domain knowledge for custom data and analytics strategies
  • Experience in designing and implementing data driven products and services
  • Experience in designing and building high performance collaborative business and technology teams that deliver high value data solutions, data products and data analytics

Ideal candidates may call themselves Data Architects, Data Engineers, Data Scientists, Analysts and Data Governance professionals. Experience may include but not limited to the following:
Data Strategy and Governance
  • Intimately familiar with data technologies, data architecture frameworks, cloud platforms and the emerging trends in technological advancements.
  • Proven experience in transforming our clients from on-prem data platforms to the cloud.
  • Lead data modernization initiatives that include platform, technology and tools implementation and adoption.
  • Must have experience in architecting and implementing data architecture, data engineering, reporting and analytical solutions across multiple business functions and domains.
  • Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
  • Demonstrate a rigorous and analytical problem-solving approach, leading information-gathering sessions and preparing and delivering client presentations and work products/prototypes.
  • Identify data governance gaps and assess data governance maturity in a complex data environment. Should also be able to Identify the implications for data governance that arise from the technology, current processes, and skill levels in a complex data environment.

Data Architecture and Engineering
  • Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing.
  • Experience designing and building data platforms that support data lakes, data stores, data ingestion and transformations and API services for consuming data
  • Ability to design and build complex data pipelines that either stream data in
  • Experience and knowledge of programming and scripting languages, such as but not limited to Python, Node.JS and SQL
  • Experience and knowledge of data integration tools and platforms
  • Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions
  • Ability to design and build data models using the appropriate technics to meet business objectives
  • In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies.

Advanced Analytics and Data Visualizations
  • Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire
  • Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods
  • Experience and knowledge of programming and scripting languages such as, but not limited to, SQL, Python and R
  • Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep
  • Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions
  • Experience deploying enterprise-wide reporting solutions while leveraging data visualization best practices

A career at SEI extends well beyond providing great service and thought leadership to our clients. Everyone takes an active role in building and managing our business, in an environment that runs counter to traditional consulting firms. Our consultants have a "seat at the table" and contribute to growing our business in ways that align to their interests such as growing business development opportunities, conducting interviews to support our hiring process, managing internal initiatives that build our brand or organizing trainings to share what you know with your colleagues. There is no telling what an SEI Consultant will be asked to do on a day-to-day basis - we do what it takes to get the job done.
QUALIFICATIONS
Required-
  • Alignment to our core values: Excellence, Participation, Integrity and Collaboration
  • Hungry, Humble, Smart
  • Demonstrated business and technology acumen
  • Strong written and verbal communication skills
  • Understanding and experience solving real business problems
  • Proven track record of delivering results
  • Experience working with and/or leading a team
  • Ability to work across industries, roles, functions & technologies
  • Authorization for permanent employment in the United States (this position is not eligible for immigration sponsorship)

Preferred-
  • Bachelor's degree
  • 8+ years professional experience
  • Experience across our service offerings

Systems Evolution, Inc. (SEI) is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law

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