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Oracle Analytics Cloud Jobs in Florida (NOW HIRING)

Pwc

ERP AI Engineer - Manager

Tampa, FL · On-site

$99K - $232K/yr

... Oracle Analytics Cloud, Oracle Data Integrator, Oracle Data Visualization, and Oracle Machine Learning. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality.

Pwc

ERP AI Engineer - Manager

Orlando, FL · On-site

$99K - $232K/yr

... Oracle Analytics Cloud, Oracle Data Integrator, Oracle Data Visualization, and Oracle Machine Learning. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality.

Pwc

ERP AI Engineer - Manager

Miami, FL · On-site

$99K - $232K/yr

... Oracle Analytics Cloud, Oracle Data Integrator, Oracle Data Visualization, and Oracle Machine Learning. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality.

Pwc

ERP AI Engineer - Manager

Jacksonville, FL · On-site

$99K - $232K/yr

... Oracle Analytics Cloud, Oracle Data Integrator, Oracle Data Visualization, and Oracle Machine Learning. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality.

Deloitte

Oracle Tech Cloud Manager

Miami, FL · On-site

Leading Oracle cloud strategy, architecture, and implementation efforts for client organizations ... We seek professionals who can harness the latest in social, mobile, and analytics technologies to ...

Deloitte

Oracle Tech Cloud Manager

Tampa, FL · On-site

Leading Oracle cloud strategy, architecture, and implementation efforts for client organizations ... We seek professionals who can harness the latest in social, mobile, and analytics technologies to ...

Acess Global

Oracle Field Service Cloud

Miami, FL · On-site

Lead requirements gathering, fit-gap analysis, testing, deployment, UAT, and production support. * Collaborate with business stakeholders, technical teams, and field operations teams. * Experience in ...

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Oracle Analytics Cloud information

What is Oracle Analytics Cloud?

Oracle Analytics Cloud (OAC) is a comprehensive cloud-based analytics platform that enables organizations to analyze data, discover insights, and make data-driven decisions. It offers a range of features including data visualization, reporting, machine learning, and self-service analytics, all accessible from a secure cloud environment. OAC supports integration with various data sources and provides tools for both business users and IT professionals to collaborate and share insights. Its scalability and flexibility make it suitable for organizations of all sizes looking to transform their data into actionable intelligence.

What are the key skills and qualifications needed to thrive as an Oracle Analytics Cloud specialist?

To thrive as an Oracle Analytics Cloud Specialist, you need a solid background in data analytics, business intelligence, and cloud computing, often supported by a degree in computer science or a related field. Proficiency with Oracle Analytics Cloud, SQL, data visualization tools, and relevant certifications such as Oracle Cloud certifications is essential. Strong problem-solving, communication, and project management skills help differentiate top performers in this role. These skills and qualities are vital to effectively translate complex data into actionable insights and drive organizational decision-making.

What are some common challenges faced by professionals working with Oracle Analytics Cloud, and how can they be overcome?

Professionals in Oracle Analytics Cloud (OAC) roles often encounter challenges such as integrating data from diverse sources, ensuring data security, and optimizing dashboard performance. Overcoming these hurdles usually involves strong collaboration with IT and data engineering teams, continuous learning to stay updated on OAC features, and leveraging Oracle's extensive documentation and support resources. Proactively engaging in user communities and participating in ongoing training can also help in resolving technical issues quickly and efficiently.

What is the difference between Oracle Analytics Cloud vs Data Analyst?

AspectOracle Analytics CloudData Analyst
Primary RoleDevelops and manages analytics solutions using Oracle Analytics Cloud platformAnalyzes data to identify trends, create reports, and support decision-making
Required SkillsData visualization, SQL, Oracle Cloud services, BI toolsData manipulation, Excel, SQL, reporting tools
Work EnvironmentCloud-based platforms, enterprise environments, IT teamsOffice settings, business units, cross-functional teams
CertificationsOracle Analytics certifications, SQL certificationsNone specific, often data or BI certifications

Oracle Analytics Cloud professionals focus on developing and managing analytics solutions within Oracle's cloud platform, requiring technical skills and certifications. Data Analysts primarily interpret data, generate reports, and support business decisions, often with less emphasis on cloud-specific tools. Both roles overlap in data skills but differ in scope and technical depth.

What are popular job titles related to Oracle Analytics Cloud jobs in Florida?

For Oracle Analytics Cloud jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Oracle Analytics Cloud jobs in Florida look for?

The top searched job categories for Oracle Analytics Cloud jobs in Florida are:

Oracle Analytics Cloud jobs near you
Infographic showing various Oracle Analytics Cloud job openings in Florida as of August 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 77% In-person, and 23% Remote job distribution.

Payments Risk Analyst

Certegy Payment Solutions

Clearwater, FL • On-site

Full-time

Re-posted 18 days ago

Job description

Job Summary:
Certegy Payment Solutions is a provider of secure payment acceptance solutions, and they are seeking a Payments Risk Analyst to enhance their expertise in fraud and risk monitoring. The role involves collaborating with various teams to analyze transactional data, implement risk controls, and communicate insights to stakeholders.
Responsibilities:
• Analyze transactional data for fraud, returns, and loss trends using exploratory data analysis techniques to identify emerging risks and systemic vulnerabilities.
• Forecast client risk performance and proactively recommend control adjustments based on transactional trends.
• Collaborate with data science teams to translate data, trends, and other investigative findings, into model enhancements for real-time decisioning strategies.
• Design, implement, and maintain risk controls to balance loss reduction with transactional acceptance rates and customer experience.
• Support incident response and escalation for significant fraud events by performing root cause analysis and coordinating with internal teams to mitigate impact.
• Evaluate strategy performance by tracking key metrics such as fraud loss rates, acceptance rates, and client-specific risk thresholds.
• Document risk strategies, findings, and outcomes to support operational consistency, audit readiness, and continuous improvement.
• Partner directly with clients to review fraud trends, explain risk tradeoffs, and recommend best practices tailored to their business models.
• Develop and maintain executive-level dashboards to communicate performance, trends, and risk exposure to internal leadership and external partners.
Qualifications:
Required:
• Strong analytical and problem-solving skills with the ability to identify patterns in large-scale transactional data.
• Advanced proficiency in Microsoft Excel and working knowledge of data visualization tools (Oracle Analytics Cloud, Power BI, Tableau, or similar).
• Experience applying statistical analysis techniques to fraud detection, loss analysis, and risk optimization.
• Excellent written and verbal communication skills, with demonstrated ability to present complex risk concepts to clients, senior leadership, and cross-functional partners.
• Ability to work independently while managing multiple client risk portfolios in a fast-paced, real-time environment.
• Bachelor’s degree in Mathematics, Statistics, Finance, Economics, or a related quantitative field.
• 2–3+ years of experience in payments risk, fraud analytics, or financial analysis.
• U.S. work authorization required (no visa sponsorship available)
Preferred:
• Payments industry experience in ACH, real-time payments (RTP/FedNow), BNPL, checks, or alternative payment methods strongly preferred.
Company:
We are a leading FinTech provider of payment risk management and services to retailers and financial institutions in North America. Founded in 1981, the company is headquartered in Clearwater, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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