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About the role
What you will be doing
He/she will develop and code software programs, algorithms and automated processes to cleanse large datasets into meaningful information for gathering insight. By being able to draw conclusions from large, disparate sources of data, FIS can identify and pursue new areas of growth, preempt trends and continue our exponential growth.
Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for client services and product enhancement.
Interacts with product and service teams to identify questions and issues for data analysis and experiments.
Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
Identifies meaningful insights from large data and metadata sources.
Interprets and communicates insights and findings from analysis and experiments to product, service and business managers.
As a seasoned, experienced professional with a full understanding of area of specialization, he/she resolves a wide range of issues in creative ways.
Ability to draw on past experience and current data to influence business partners and provide insightful analytics.
Works on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
Demonstrates good judgment in selecting methods and techniques for obtaining solutions.
Networks with senior internal and external personnel in own area of expertise.
Higher level of data analysis skills and knowledge of M&A.
Ability to leverage Excel and other systems to perform complex financial modeling.
Ability to work in cross-functional teams and work more independently.
Ability to perform onsite due diligence of potential acquisition targets.
What you bring
Typically requires a minimum of 5 years of related experience with a Bachelor's degree; or 3 years and a Master's degree; or a PhD without experience; or equivalent work experience.
Must have data modeling experience.
Must be passionate about problem solving and the ability to unlock the power of the data
Must be able to present and communicate findings to internal and experience stakeholders
Previous product commercialization experience is a plus, but not required.
Previous experience in a data science, data analytics or business analytics role.
What we offer you
A work environment built on collaboration, flexibility and respect
All the above duties and responsibilities are essential job functions for which reasonable accommodation will be made. All job requirements listed indicate the minimum level of knowledge, skills and/or ability deemed necessary to perform the job proficiently. This position description is not to be construed as an exhaustive statement of duties, responsibilities or requirements. Employees may be required to perform any other job-related instructions as requested by their leader, subject to reasonable accommodation.
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.
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.
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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