Regions Bank Big Data/Predictive Analytics - Consumer in Birmingham, Alabama
Thank you for your interest in a career at Regions. At Regions, we believe associates deserve more than just a job. We believe in offering performance-driven individuals a place where they can build a career --- a place to expect more opportunities. If you are focused on results, dedicated to quality, strength and integrity, and possess the drive to succeed, then we are your employer of choice.
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At Regions, the Big Data/Predictive Analytics Analyst answers deep-lying questions and uncovers new opportunities by leveraging analytic practices to design, build new, creative, high impact analytic solutions. Researches, designs, implements and validates algorithms to analyze diverse sources of data to achieve targeted outcomes.
Works with business leaders to identify high impact opportunities
Manages projects to timely conclusions
Communicates analytic findings to diverse audiences
Works with Information Technology (IT) to access, explore and condition data
Implements and validates analytic solutions
Develop and deploy solutions using data analysis, data mining, optimization tools, machine learning techniques and statistics
Primary focus is on daily deliverable of routine and defined outputs, while at the same time developing knowledge of the broader context in which the work is being performed
This position is exempt from timekeeping requirements under the Fair Labor Standards Act and is not eligible for overtime pay.
Masters degree in operations research, applied statistics, data mining, machine learning or related quantitative discipline
Three (3) years experience with big data, data management platform (DMP), and real-time decision systems
- Ph.D. in operations research, applied statistics, data mining, machine learning or related quantitative discipline
Skills and Competencies
Strong business acumen with the ability to communicate with both business and IT leaders
Deep understanding of statistical and predictive modeling concepts, machine learning approaches, clustering and classification techniques, and recommendation and optimization algorithms
Expertise in analyzing large, complex, multi-dimensional datasets using a variety of tools like Statistical Analysis System (SAS), R or Statistical Package for the Social Sciences (SPSS)
Comfortable with both relational databases and Hadoop-based data mining frameworks
Advanced SQL skills and familiarity with Python, Java, C/C++, etc.
Strong communication skills through data visualizations, written and oral presentations
Experience interacting with business, technical and quantitative groups
Ability to work closely with internal and external partners
At Regions, our culture focuses on five core values that are a commitment to how we will do business:
Put people first
Do what is right
Focus on your customer
Through these values, our mission to make life better drives our desire to improve and make a positive difference in the communities where we work and live through financial investments and volunteering.