In This Role, You Will
- Participate in low to moderately complex initiatives by utilizing data-driven, advanced analytical and statistical techniques to identify trends, diagnose problems, and build actionable insights or recommendations
- Review and analyze business, operational, technical assignments, or challenges that require research, evaluation, and selection of alternatives to convert data into meaningful insights and recommendations
- Exercise independent judgment to guide medium risk business hypothesis generation
- Present recommendations and insights for resolving low to moderately complex business needs and problems; exercise independent judgment while developing an expertise in analytic capabilities
- Collaborate and consult with functional colleagues, internal partners, and stakeholders to drive recommendations and strategies based on data-driven analytical insights, trends, and patterns
- Conduct low to moderately complex predictive analytics to build actionable insights and recommendations
- Design and apply algorithms to mine large sets of structured and unstructured data from various sources
- Ensure data completeness, accuracy, and uniformity through cleaning and validation
Required Qualifications:
- 2+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
- Exceptional problem-solving skills with an analytical and creative mindset. Strategy and implementation experience
- Execution oriented, professional demeanor, self-starter behavior and able to recognize opportunities for improvement in the business and to act on those opportunities.
- Strong project management skills, including ability to work to deadlines and give realistic estimates.
- Strong understanding of relational databases and ability to query data using SQL.
Desired Qualifications:
- Extensive knowledge and understanding of cross-channel data (e.g. branch, digital, and contact center) and analysis
- Skilled data scientist with the ability to turn findings into executable plans to meet business objectives
- Financial analytic proficiency rooted in sound business principles of ROI-optimization
- 2+ years of experience with SAS or SQL, or other data management, reporting and query tools
- 5+ years of experience integrating multiple data from multiple platforms (e.g. relational databases and cloud-based)
- Good to have: Experience with Hadoop ecosystem tools
- Knowledge and understanding of digital channel systems, processes, and analytic tools
- Proficiency in banker-assisted (branch banking and contact center) data
- Excellent verbal, written, and interpersonal communication skills
- Advanced Microsoft Office (Word, Excel, Outlook, and PowerPoint) skills
- Ability to work effectively in a team environment and across all organizational levels, where flexibility, collaboration, and adaptability are important
- Ability to execute in a fast paced, high demand, environment while balancing multiple priorities
- Ability to prepare presentations, management reporting, and statistical analysis
- Ability to create and improve process through strategic thinking
- Experience designing and developing business intelligence or data analytics applications using tools such as Tableau
- Strong analytical skills with high attention to detail and accuracy
- Good understanding of Banking/ Financial services domain (Consumer Banking/ Wealth & Investment Management)