ZipRecruiter

Log In

1

Bank Data Analytics Jobs in Florida (NOW HIRING)

BankUnited

Data Analytics Engineer

Miami Lakes, FL · On-site

$103K - $124K/yr

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 ...

Truist

Analytics Data Engineer III

Orlando, FL · On-site

... analyzing, documenting and maintaining data assets related to Truist's Retail Community ... Bank portfolio and operational processes. Ensure processes deliver data that are accurate, complete ...

Futran Tech Solutions Pvt. Ltd.

Data Analyst

Tampa, FL · On-site

... analytics and AI use cases, and collaborating closely with data science and business teams in large scale enterprise environments. Domain Retail (catalog, order, pricing, search data) Banking ...

Programmers.io

Data Analyst

Tampa, FL · On-site

... analytics and AI use cases, and collaborating closely with data science and business teams in large scale enterprise environments. Domain * Retail (catalog, order, pricing, search data) * Banking ...

Monitise

Reconciliation Analyst

Coral Springs, FL · On-site

$55K - $75K/yr

Monitor and perform complex daily reconciliations and analysis of bank data for Wire and ACH ... settlements, identifying and resolving discrepancies as needed * Work internally to process ...

Seacoast Bank

Compensation Consultant

Stuart, FL

... data and develop other ad hoc reports as needed. * Respond to HR and LOB compensation analysis requests on an ad hoc basis. * Adhere to Seacoast Bank's Code of Conduct. EDUCATION AND/OR EXPERIENCE:

Seacoast Bank

Compensation Consultant

Miami, FL

... data and develop other ad hoc reports as needed. * Respond to HR and LOB compensation analysis requests on an ad hoc basis. * Adhere to Seacoast Bank's Code of Conduct. EDUCATION AND/OR EXPERIENCE:

Seacoast Bank

Compensation Consultant

Stuart, FL

... data and develop other ad hoc reports as needed. * Respond to HR and LOB compensation analysis requests on an ad hoc basis. * Adhere to Seacoast Bank's Code of Conduct. EDUCATION AND/OR EXPERIENCE:

Seacoast Bank

Compensation Consultant

Miami, FL

... data and develop other ad hoc reports as needed. * Respond to HR and LOB compensation analysis requests on an ad hoc basis. * Adhere to Seacoast Bank's Code of Conduct. EDUCATION AND/OR EXPERIENCE:

Seacoast Bank

Compensation Consultant

Tampa, FL

... data and develop other ad hoc reports as needed. * Respond to HR and LOB compensation analysis requests on an ad hoc basis. * Adhere to Seacoast Bank's Code of Conduct. EDUCATION AND/OR EXPERIENCE:

next page

Showing results 1-20

All JobsBank Data Analytics JobsBank Data Analytics Jobs in Florida

Bank Data Analytics information

Do banks use data analysts?

Yes, banks employ data analysts to interpret financial data, assess risk, detect fraud, and support decision-making. These professionals often use tools like SQL, Excel, and data visualization software to analyze large datasets and improve banking operations.

How does a Bank Data Analytics professional typically collaborate with other departments within a financial institution?

Bank Data Analytics professionals work closely with various departments such as risk management, marketing, compliance, and IT. They translate complex data sets into actionable insights, guiding strategic decisions and helping teams understand customer behavior, detect fraud, and ensure regulatory compliance. Regular cross-functional meetings and project-based collaborations are common, allowing analytics professionals to align data-driven recommendations with business goals and operational needs. This collaborative structure enhances communication, streamlines workflow, and maximizes the value of data across the organization.

What is bank data analytics?

Bank data analytics is the process of collecting, processing, and analyzing large volumes of data generated by banking transactions and operations. It helps banks gain insights into customer behavior, detect fraud, manage risks, and improve decision-making. By leveraging advanced analytical tools and techniques, banks can enhance customer experiences, increase efficiency, and develop data-driven strategies for growth. Bank data analytics professionals work with big data, machine learning, and statistical models to extract meaningful patterns and support business objectives.

What does a data analyst do in banking?

A data analyst in banking collects, processes, and analyzes financial data to identify trends, support decision-making, and improve operational efficiency. They often use tools like Excel, SQL, and data visualization software to interpret large datasets and generate reports for management and compliance purposes.

What is the difference between Bank Data Analytics vs Bank Data Analyst?

AspectBank Data AnalyticsBank Data Analyst
Required SkillsData analysis, statistical modeling, programming (SQL, Python)Data analysis, reporting, basic statistical skills
Work EnvironmentData teams, analytics departments within banksBank branches, finance departments, risk management teams
CertificationsData analytics certifications, SQL, Python coursesFinance or banking certifications, possibly data skills
Industry UsageFocus on developing analytics models and insightsFocus on interpreting data for decision-making

Bank Data Analytics involves advanced data modeling and technical skills to develop insights, while a Bank Data Analyst primarily interprets data to support banking operations. Both roles require analytical skills, but Bank Data Analytics is more technical and model-driven, whereas Bank Data Analyst focuses on reporting and data interpretation within banking environments.

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

To thrive as a Bank Data Analytics professional, you need strong analytical skills, proficiency in statistics, and a solid background in finance or economics, often supported by a relevant degree. Expertise in data analysis tools such as SQL, Python, R, and experience with business intelligence platforms like Tableau or Power BI, as well as knowledge of data governance frameworks, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication help translate complex data insights into actionable recommendations for stakeholders. These skills are crucial for driving data-informed decisions that enhance financial performance and risk management in the banking sector.

Can a data analyst work at a bank?

Yes, a data analyst can work at a bank, where they analyze financial data, customer information, and transaction patterns to support decision-making and risk management. Skills in SQL, Excel, and data visualization tools are commonly required, along with knowledge of banking regulations and financial concepts.

What is the salary of data analyst in JP Morgan?

The salary of a data analyst at JP Morgan typically ranges from $60,000 to $90,000 annually, depending on experience, location, and education. Entry-level positions may start lower, while experienced analysts or those with specialized skills can earn higher compensation. Benefits often include bonuses, health insurance, and opportunities for professional development.
What are popular job titles related to Bank Data Analytics jobs in Florida? For Bank Data Analytics jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Bank Data Analytics jobs in Florida look for? The top searched job categories for Bank Data Analytics jobs in Florida are:
What cities in Florida are hiring for Bank Data Analytics jobs? Cities in Florida with the most Bank Data Analytics job openings:
Bank Data Analytics jobs near you
Infographic showing various Bank Data Analytics job openings in Florida as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Data Analytics Engineer

Data Analytics Engineer

BankUnited

Miami Lakes, FL • On-site

$103K - $124K/yr

Full-time

Posted 15 days ago

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.

Apply