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Data Analytics Analyst Jobs in Florida (NOW HIRING)

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Data Analyst

Miami, FL

Develop, implement, and manage advanced database systems, data analytics, and other strategies to optimize statistical efficiency and data integrity. * Acquire data from primary and secondary sources ...

Corient Services LLC

Data Analyst

Miami, FL · On-site

$70 - $100/hr

Develop and maintain data analytics solutions focused on enabling decision making, optimization, and measurable business impact for key functional and business stakeholders. * Develop and maintain ...

AllSTEM Connections

CRM Analytics Analyst

Orlando, FL · On-site

$104K/yr

We are seeking a skilled Data Engineer / Data Warehouse Architect to design, build, and manage ... Analytics, Meta Ads, Google Ads, and Microsoft Ads Collaborate with cross-functional teams to ...

Ci

Data Analyst

Miami, FL

Develop and maintain data analytics solutions focused on enabling decision making, optimization, and measurable business impact for key functional and business stakeholders. Develop and maintain ...

Corient

Data Analyst

Miami, FL · On-site

$75 - $120/hr

Develop and maintain data analytics solutions focused on enabling decision making, optimization, and measurable business impact for key functional and business stakeholders. * Develop and maintain ...

ManTech

Data Analyst

Fort Walton Beach, FL · On-site

Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Your journey to impactful work and rapid growth starts now-be extraordinary at MANTECH!

JLL

Data Analytics, Technical Director

Orlando, FL · Remote

The Data Analytics Team Lead will be responsible for the oversight of the Data Analytics team and the development of various databases to support program implementations, value demonstration and ...

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How much do data analytics analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data analytics analyst in Florida is $61,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,700.00 and $72,500.00 per year, depending on experience, location, and employer.

What does a data analytics analyst do?

A Data Analytics Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They use statistical tools and software to uncover trends, patterns, and insights from large datasets. Their work often involves creating reports, visualizations, and presentations to communicate findings to stakeholders. Data Analytics Analysts play a vital role in helping businesses optimize operations, improve customer experiences, and identify new opportunities.

What are the key skills and qualifications needed to thrive as a data analytics analyst?

To thrive as a Data Analytics Analyst, you need strong quantitative skills, experience with data analysis, and typically a degree in statistics, mathematics, computer science, or a related field. Proficiency with tools such as SQL, Python or R, and data visualization platforms like Tableau or Power BI, along with knowledge of data management systems, is crucial. Critical thinking, attention to detail, and effective communication skills help analysts interpret data and clearly convey insights to stakeholders. These skills are vital for transforming raw data into actionable business intelligence that drives informed decision-making.

What are some common challenges data analytics analysts face when interpreting large datasets, and how can they overcome them?

Data Analytics Analysts often encounter challenges such as data quality issues, incomplete datasets, and difficulties in identifying meaningful patterns or insights. To overcome these, analysts should prioritize thorough data cleaning, leverage robust data validation techniques, and collaborate closely with stakeholders to understand the business context. Additionally, using advanced analytical tools and maintaining clear documentation can help ensure accurate interpretations and more actionable recommendations.

Is a data analytics analyst well paid?

Data analytics analysts are generally well compensated, with salaries often above the median for entry-level roles and increasing with experience, certifications, and proficiency in tools like SQL, Python, or Tableau. Salaries vary by industry and location but tend to be competitive within the tech and finance sectors.

What are popular job titles related to Data Analytics Analyst jobs in Florida?

For Data Analytics Analyst jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Data Analytics Analyst jobs in Florida look for?

The top searched job categories for Data Analytics Analyst jobs in Florida are:

What cities in Florida are hiring for Data Analytics Analyst jobs?

Cities in Florida with the most Data Analytics Analyst job openings:

Data Analytics Analyst jobs near you
Infographic showing various Data Analytics Analyst job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $61,756 per year, or $29.7 per hour.

Credit Risk Analytics Analyst

BankUnited

Miami Lakes, FL • On-site

Full-time

Posted 12 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 174 rated banks

Job description

Hybrid opportunity in Miami Lakes, FL.
SUMMARY: Reporting to the Manager, Enterprise Risk Analytics, the Credit Risk Analytics Analyst is part of the Enterprise Risk Analytics team, a dynamic team of talented professionals whose task is to produce valuable recurring risk reporting and analytics as well as advance the modeling framework to identify and manage financial risk. The Credit Risk Analytics Analyst uses a combination of quantitative, modeling, communication, and technical reporting skills to further advance the various risk analytics initiatives and add value to the organization by enhancing our credit risk modeling, monitoring, and reporting capabilities.
ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties and special projects may be assigned.
  • Ownership of third-party vendor credit loss models for CRE and C&I. This includes periodic analytical review of model performance and updates, as well as, maintaining internal model documentation consistent with internal and regulatory expectations.
  • Become a leading expert in the Moody's CMM, RiskCalc, MPA, and ZMDesk, and models. This includes periodic review of model performance and updates, as well as, developing a deep knowledge on how the models work.
  • Advance and refine our use of Moody's CMM, RiskCalc, MPA, and ZMDesk models. This includes using Moody's models and leveraging external and internal data to drive improvements in credit risk accuracy and utilizing the outputs to further stress testing, credit risk attribution, credit VaR, sensitivity analysis, and risk decomposition initiatives.
  • Be a leading contributor to the quarterly and annual end-to-end stress testing exercises. Conduct ad-hoc analysis as required. Develop potential stress scenarios that are meaningful to management.
  • Contribute to the integration of risk results into capital planning, budgeting, and risk appetite frameworks.
  • Periodic reporting on financial risks. This includes report generation in a wide variety of formats including but not limited to Tableau dashboards, Microsoft Excel report, PowerPoint presentations and Microsoft Word reports, on a periodic as well as ad-hoc basis.
  • Drive the automation of modeling routines as well as report and dashboard generation in a manner that drives consistency, accuracy and repeatability in credit risk reporting.
  • Contribute to the design and implementation of risk reporting across a variety of media.
  • Work closely with the data and technology teams to improve the data infrastructure needed to support the above initiatives.
  • 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.

EDUCATION
Degree in a quantitative discipline (eg Statistics, Finance, Mathematics, Engineering, Economics) required Advanced degree in a quantitative discipline (PhD or MSc in a STEM discipline or Economics/Finance) preferred.
EXPERIENCE
  • 2+ years' experience in financial services (banking, asset management, insurance, etc) with significant direct exposure to analytics and modeling applied to credit risk and/or market risk.
  • Experience with programming languages, particularly Python.
  • Experience utilizing and merging data from a variety of databases.
  • Experience with a wide assortment of financial modeling techniques, including but not limited to: credit losses, loss migration, interest rates, volatility, derivatives, VaR, prepayments, capital, forecast techniques, stress testing, scenario analysis, sensitivity analysis, RAROC, liquidity, FTP.
  • Prior experience in credit risk reporting.
  • Prior experience working with databases.
  • Prior experience automating tasks.

CERTIFICATES, LICENSES, REGISTRATIONS
  • CFA, PRM, FRM a plus.

KNOWLEDGE, SKILLS AND ABILITIES
  • Deep understanding of credit risk models (PD, LGD, Credit VaR, etc). This Manager should be able to use this understanding to provide expert insight into the credit risk results they report and enhance the modeling capabilities of the team.
  • Excellent communication skills (visual, verbal, and written) with the ability to articulate complex concepts into a format digestible by a diverse audience.
  • Proficiency in generating reports using Tableau.
  • Proficiency with general quantitative modeling techniques (regression, simulation, optimization).
  • Strong interpersonal skills to aid in working with different divisions within the company.
  • Ability to work under pressure, meet deadlines, manage competing initiatives and adapt to an ever changing work pace with a focus on accuracy and attention to detail.
  • Knowledge of latest modeling developments / trends.

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

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