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Bank Data Analytics Jobs in Florida (NOW HIRING)

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 ...

Judit Inc

Data Analyst

Tallahassee, FL

The Data Analyst is responsible for the volume layer of the assessment: intaking entity responses ... Bank workbook, maintaining the entity tracker, and transcribing finalized, banded risk data into ...

Nymbus, Inc.

Data Migration Analyst

Jacksonville, FL · Remote

Analyze and map data across banking functions, including deposit operations, loan products ... consumer demographics, retirement accounts, financial reporting structures, and general ledger data.

New

MUFG Bank, Ltd.

AVP, Audit Execution Analytics

Tampa, FL · On-site

$106K - $130K/yr

Design, develop, and execute data analytics strategies to support audit activities using tools such as SQL, Python, Tableau, and the Microsoft Power Platform. * Support end-to-end audit engagements ...

Collabera LLC

Data Analyst

Orlando, FL · On-site

$20 - $22/hr

Data Analyst Location: Orlando, FL Work Arrangement: Onsite Client Industry ... Banking Client Duration: 12+ months contract to hire Schedule: Monday to Friday, 8 AM 5 PM About ...

New

Collabera

AML/Monitoring/Data analyst

Orlando, FL · On-site

$15 - $22/hr

... retail banking, controls testing, project management, data validation, grants management ... proofread and analyse reports from various databases Excellent oral, verbal and written ...

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Bank Data Analytics information

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 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.
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 August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Analyst

Programmers.io

Tampa, FL • On-site

Full-time

Re-posted 20 days ago

Job description

Job Requirements
  • Data Analyst with strong experience in Big Data, Cloud (AWS & GCP), and AI/ML-enabled data platforms. Good in Snowflake NoSQL: MongoDB, DynamoDB, Cassandra RDBMS: Oracle
Key Responsibilities
  • The role involves designing, building, and optimizing scalable data pipelines, enabling 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 & Financial Services
  • Insurance
Education Requirements
  • Bachelor's/master’s in computer science or equivalent (can be marked optional or flexible)
Certifications
  • GCP Professional Cloud Developer / Microsoft Azure Certified Developer