What are the responsibilities and job description for the Marketing & Digital Commerce Analytics-Decision Scientist I position at Truist Careers?
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Regular or Temporary:
RegularLanguage Fluency: English (Required)
Work Shift:
1st shift (United States of America)Please review the following job description:
As an entry level individual contributor, support analytics projects and execute against the objectives of the Retail Analytics and Business Performance (RABP) group. Using an interdisciplinary approach of leveraging concepts from business, applied statistics and math, operations research, information technology, process design and behavioral sciences, the incumbent will work both independently and with internal teammates to produce analytic insights that help the Line of Business (LOB) make informed, data-driven decisions with an objective of driving quantifiable, optimized business results in support of company goals.1. As an entry level Decision Scientist, focus on high impact, visible analyses and initiatives across multiple business models, covering banking channels, segments, and products, including but not limited to: Deposits, Operations, Small Business, Virtual Banking, Client Experience, Call Center, and Premier Banking.
2. Partner on target initiatives as assigned; work independently and with internal teammates to drive decision science projects leveraging quantitative analysis techniques, including machine learning, in pursuit of business optimization and impact.
3. Pursue business outcomes valued through increased revenue and/or efficiency leveraging data-driven insights powered by analytics in support of enhanced decision-making.
4. Explore and apply tools to solve business challenges and deliver solutions that are timely, accurate, and repeatable.
5. Exercise sound judgment, risk management, and foster a client centric culture throughout design, development, and deployment practices.
6. Foster communication and partnership across multiple levels of the RABP team including engagement with the leadership team.
QUALIFICATIONS
Required Qualifications:
The incumbent must demonstrate a combination of academic aptitude, quantitative skills, strategic and creative thinking, and excellent written and oral communications skills. Specific requirements are listed below. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
2. Must be able to perform in a cross-functional and collaborative team environment focused on supporting business partners with enhanced insights.
3. Innovative and strategic thinker with ability to connect to practical application, providing recommendations on target initiatives, with a strong bias to action and focus on quantifiable business impact.
4. Ability to maintain competency in statistical and analytical principles, tools, and techniques.
5. Incumbent should have an understanding of various database environments (IBM DB2, Oracle), technical programming skills (SAS, SQL, Toad), exposure to applied data science tools (R, Python, SAS E-Miner), familiarity with data visualization and BI tools (Tableau, MicroStrategy), and demonstrated proficiency in Microsoft Office Suite (Excel, PowerPoint, Word).
1. Master's degree in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering.
2. Prior internship experience in applied decision sciences, preferably in banking or finance.
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Salary : $1 - $1,000,000