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Our Enterprise Analytics department is growing, and we're looking for an outstanding candidate to join our team. Decision Analysts are responsible for evaluating business operations using statistical and financial methods to ensure that testing, learning, and production goals are met. They are also responsible for providing insights about our customers and prospects to drive business strategy. These analysts work collaboratively with our internal partners to develop innovative, data-driven growth strategies across the entire bank, including Consumer Deposits, Small Business, Home Lending, Credit Card, Auto, and Commercial.
- Apply machine learning, data mining, and visualization techniques to internal and external data to make accurate and actionable analyses in a timely fashion.
- Plan and execute multiple analytic projects at once in response to business needs.
- Synthesize findings into senior level presentations that convey insights and recommendations through compelling storytelling, while maintaining a balance between the big picture and mastery of details.
- Champion corporate policies and procedures. Ensure compliance with legal and regulatory requirements. Work with management to develop and apply effective risk management processes and controls.
- Bachelor's degree in Business, Economics, Decision Sciences, Statistics, Operations Research, Applied Mathematics, or Engineering.
- A minimum of 1 year of experience in data mining, programming, or statistical analysis.
- Advanced degree (Master's, Ph.D., JD, etc.) is preferred.
- Experience working with data mining models, structures, theories, principles, and practices, including machine learning, statistics, and text mining techniques.
- Experience with at least one data mining / statistical analysis tools such as R, python, or SAS.
- Experience with business intelligence and data mining tools such as BusinessObjects, Microstrategy, Tableau, Qlickview, and SAS Enterprise Guide/Miner in a corporate or academic environment.
- Experience with SQL queries of large databases such as Oracle, DB2, SQL Server, Teradata, and Hadoop.
- Experience developing and applying statistical or machine learning methods in a corporate environment through applications such as R, python, SAS, SPSS, S, S-PLUS, or Stata.
- Experience in programming languages such as Python, Java, or C in a data mining context, and experience building web-based applications or dashboards using R, python, HTML, CSS, Perl, and JavaScript.
- Experience with Microsoft Word, PowerPoint, and Excel.
- Experience in similar or directly related functions; preferably in financial services, retail, healthcare, telecommunications, entertainment, or other industries with strong direct marketing, digital marketing, risk management, or experimental design practices.
- Excellent written and verbal communication skills with a proven ability to interact effectively across all organizational levels.
- Progressive thinker and problem solver, with a strong ability to manage ambiguity/complexity.
- Work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines.
- Experience working in a consumer-centric company and with teams of technical professionals in a cross-functional environment.
- Ability to embrace change, constructively negotiate constraints, and effectively leverage resources to create exceptional outcomes. Consistently model and inspire high levels of professional demeanor and integrity.