Business Analyst II
US FL ORL Virtual
Job Description
The world of finance moves fast. At FIS, we’re faster. Our teams are empowered to learn, grow, and make an impact–in their careers and communities. We deliver innovation that advances the way the world pays, banks and invests. If you want to grow personally and professionally, we’d like to know: Are you FIS?
About the role:
As a Business Analyst, you work with our stakeholders to shape data analysis and data visualization that will define Prepaid data. You’ll work as part of an Ops team focused on business intelligence, data warehouse analysis, trend building and must be a self-motivated, proactive, and out-of-the-box thinker. This role is focused on data analysis and data visualization.
What you will be doing:
• Working with product management, stakeholders, peers and teams to define and prioritize the data warehouse, required business intelligence tools and data visualization requirements
• Gather data, generate and prepare reports for key clients and relevant data relating to financial transactions and trends
• Engage and involvement in operational support of Prepaid products
• Driving improvements in both data collection and the Prepaid products
What you will need:
• Knowledge of basic financial analysis principles and ratios.
• Experience with data warehouses, data analysis and data visualization
• SQL, Python, PowerBI or other visualization tools
• Proficiency in industry-standard process methodologies.
• A bachelor’s in business administration, finance, computer science or information systems or the equivalent experience.
Added bonus if you have:
Understanding of billing systems
Experience or exposure of pricing components that would feed billing systems
What we offer you:
At FIS, we are as committed to growing our employees’ careers as our own business. We offer:
• Opportunities to innovate in fintech
• Inclusive and diverse team atmosphere
• Professional and personal development
• Resources to contribute to your community
• Competitive salary and benefits
Privacy Statement
FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.
EEOC Statement
FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here
For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.
Sourcing Model
Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.
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Community contribution resources Competitive compensation Competitive salary Competitive salary and benefits Exciting career opportunity Inclusive and diverse team atmosphere Inclusive team atmosphere Opportunities for innovation Opportunities to innovate in fintech Professional and personal development
Tasks- Data Analysis
- Define data warehouse and BI tools requirements
- Improve data collection and Prepaid products
- Innovation
- Prepare reports on financial transactions
- Support Prepaid products operationally
Computer Data analysis Data Visualization Finance Financial analysis Fintech Information systems Innovation Management PowerBi Process Methodologies Product Management Python SQL Training
EducationBusiness Business Administration Computer Science Education Finance Information Systems