Newark, OH (3 days onsite, two days remote. Onsite Monday-Wednesday, remote Thursday and Friday)
3-month contract-to-hire
RESPONSIBILITIES
Work Arrangement: 3 days a week on-site in Newark, Ohio & 2 days remote
Collect data by analyzing business results or establishing and monitoring new studies
Transfers data into a format more appropriate for analysis
Build tools to automate data collection
Examine large data sets for usable information
Apply statistical modeling, machine learning, and visualization techniques to internal and external data to make accurate and actionable analyses in a timely fashion.
Maintain the framework for managing data and authoritative geographical records and support analytical capabilities and decision making through data relationships, patterns and trends concepts.
Support customer segmentation, customer attrition modeling, Natural Language Processing, Product Recommendation and Branch Optimization.
Create reports and presentations for business use at varying management levels.
Develop, plan, and manage multiple priorities in response to business needs, and set appropriate and attainable team goals.
Maintain awareness of and adherence to Banks compliance requirements and risk management concepts, expectations, policies and procedures and apply them to daily tasks
Deliver a consistent, high level of service within our Serving More standards
Other duties as assigned
COMPETENCIES
Interpersonal/Customer Service Skills
Written and Verbal Communication
Ability to understand and follow directions
Adaptable to change
Basic Computer Skills
Organizational Skills/Detail Oriented
Analytical Thinking
Able to Multi-Task or Juggle Priorities
Problem/Situation Analysis
Strategic Planning and Decision Making
Creativity
Ability to work as part of a team
Ability to influence others
Ability to collaborate
Ability to apply GIS techniques in a business environment
EDUCATION - CERTIFICATIONS - WORK EXPERIENCE
High School Diploma or equivalent required
Bachelor's degree in data science, Economics, or related field (applied quantitative or computationally-orientated) required
Financial Institution Experience required.
Deep knowledge of statistical and ML models
Data Analysis and ML: Python or other scripting language
Advanced experience with Microsoft Word, Excel, and PowerPoint
Preferred, but not a deal breaker
Master's degree in data science, Statistics, Economics, Applied Mathematics, or related field
Financial services or related regulatory industry
Experience in geodatabase management, GIS Portal management, and web-map creation