A senior individual contributor who will report to the Analytics Leader with minimal supervision. They are responsible for big data/analytics projects that gather and integrate large volumes of data. Specializes in developing and programming methods, processes, and systems to consolidate and analyze unstructured, diverse big data to generate insights and solutions for client services and product enhancement. This work includes predictive analytics. They primarily support the business line functions (24HR, Card Services, Elavon).
responsibilities :
Acquire data from multiple data sources to perform statistical/predictive analysis.
Implement and validate predictive models as well as create and maintain statistical models with a focus on big data.
Identify, analyze and interpret trends or patterns in complex data to provide answers to business questions as well as provide recommendations for action.
Interpret data and analyze results using various advanced statistical techniques and tools.
Present data and analysis in a clear and concise manner, allowing the audience to quickly understand results and recommendations and make data driven decisions.
Collaborate with Insights Strategists to prioritize requests/needs.
Collaborate with various partners to provide a holistic view of the analysis (e.g. CX, EAA, etc.).
Measure and monitor results of applied recommendations and present adjustments, if necessary.
Ensure all data acquisition, sharing and results of applied recommendations are compliant with company standards.
Utilizing models to predict outcomes, these individuals will provide consultation/recommendations to solve problems, optimize processes, improve experiences for customers and employees, etc.
Provide recommendations related to business objectives
requirements-expected :
Bachelor’s Degree in a quantitative field such as statistics, computer science, engineering or applied mathematics.
Strong analytic skills with the ability to extract, collect, organize, analyze and interpret trends or patterns in complex data sets.
Experience in analytics, advanced analytics/statistics, predictive modeling, machine learning, data visualization. Preferred, but not required: understanding of machine learning techniques and algorithms.
Experience in python/R/SAS/SQL for data extraction, data mining, and predictive analytics.
Demonstrated project management skills.
Excellent communicator both verbally and written. Applies fundamental understanding of discipline to develop new insights and understanding of business performance based on data and statistical methods for moderate projects.
Analyzes data from multiple sources to assess trends and assist in develop actionable insights and recommendations to business partners/management.
Utilizes data, statistical and quantitative analysis, explanatory and predictive modeling to support decision making. Support other analysts on data acquisition and compliance methodologies.
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of foreign language classes
life insurance
integration events
dental care
retirement pension plan
saving & investment scheme
corporate library
no dress code
sharing the costs of tickets to the movies, theater
