The company is looking to advance the world of fintech by analyzing data and identifying patterns and relationships to inform business decisions.
Requirements
- Experience in relational database structures
- Research methods
- Sampling techniques
- System testing
- Proficient in working with large-scale business data sets
- Fluent in scripting and rapid prototyping skills including expertise in SQL or Tableau
Responsibilities
- Uses predictive modeling, statistics, trend analysis and other data analysis techniques to collect, explore and identify right data to be analyzed from internal and external sources
- Assists business analysts with finding patterns and relationships in data
- Builds predictive models using data, tests the model on results outside of the sample size and verifies model in real world
- Determines relevant quantitative methods for solving client issues
- Evaluates and improves internal tools and processes
- Projects may include testing strategy development for marketing initiatives, supporting product lifecycle decisions, evaluating product utilization, etc.
Other
- Bachelor’s degree in computer science or the equivalent combination of education, training, and work experience
- Possesses strong understanding of internal business segment (stakeholders) and may require presentation skills
- Proactively and effectively interacts with other internal groups throughout FIS
- Shares knowledge with other members of analytics team
- 0% travel required
