Client Journey Analyst II - Digital Client Experience Analytics
Truist Financial Corporation
Location: Charlotte, North Carolina
Type: Full Time
Internal Number: R0046649
The demand for insights leveraging data and analytics is higher than it has ever been here at Truist. This is your opportunity to help Truist achieve its Purpose, Mission, and Values by ensuring successful implementation of analytical concepts. If you are a detailed oriented, results driven individual that loves a challenge and feeling of accomplishment we have a spot for you.
As a Client Journey analyst you will be challenged to analyze the entire journey of a client’s experience with the bank. From that analysis you will identify, present & recommend changes to process, products, and/or strategy that will help shape the future of the Bank.
What you will be doing:
• Partnering with DECAM, Business, and Technology to identify and solution for friction points in the client experience • Providing data and analytics support to the Journey Room and other areas of DECAM • Build and leverage network of internal and external subject matter experts for complex data and analytics needs • Present your analysis results and make recommendations to all levels of the organization • Participate in client research panels to better understand the client feedback on Truist products, processes, and other key elements
Required Qualifications: The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 1. Bachelor’s degree in Computer Science, Business, Mathematics, or Information Technology-related field, or equivalent education and related training 2. Five to ten years of experience in analysis and design 3. Excellent verbal and written communication skills 4. Exceptional analytical and creative problem solving skills - ability to generate actionable insight and recommendations from complex analytics and large datasets 5. Ability to work independently or as a member of a team 6. Demonstrated proficiency in basic computer applications, such as Microsoft Office software products 7. Ability to travel, occasionally overnight 8. Proficiency in SQL, R, or Python
Preferred Qualifications: 1. Master’s degree in Computer Science, Business Administration, or Statistics. 2. Previous experience in the banking industry 3. Understanding and implementation experience with enterprise digital marketing optimization and analytics tools (e.g. Adobe Marketing Cloud Platform, Adobe Analytics, Adobe Audience Manager (DMP)) 4. Working knowledge of analytical toolsets such as SAS (Enterprise Guide & Miner), R Studio, Python, Data warehousing