CSBB Analytics Engineer

Truist Financial - Atlanta, GA

Part-time,Full-time - Mid Level

Remote - Atlanta, GA

Credit Intermediation and Related Activities

About the position

The CSBB Analytics Engineer at Truist is responsible for sourcing, analyzing, documenting, and maintaining data assets related to the Retail Community Bank portfolio and operational processes. This role ensures that data processes deliver accurate, complete, current, understandable, and accessible information. The incumbent will lead projects end-to-end in their area of expertise and work closely with various lines of business to enhance data integrity and support decision-making across the bank.

Responsibilities

• Lead research, analyze, design, develop and/or maintain data sources in support of projects, information needs and business requirements.
• Perform analysis, validation and interpretation of outputs, taking ownership of issues through resolution.
• Develop a deep understanding of quantitative analysis principles and transform data assets for consumption by decision and data scientists.
• Collaborate with team members and BI Architecture and Reporting Managers to define and implement reporting objectives.
• Prioritize and manage ad hoc reporting efforts, providing clear expectations to LOB partners and management.
• Develop solutions and recommendations for improving data integrity issues and analyze data problems for resolution.
• Identify, analyze, and interpret trends and patterns in complex datasets.
• Foster communication and partnership across multiple levels of the organization.

Requirements

• Bachelor's degree and 5+ years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering.
• Demonstrated knowledge and skill in data warehousing and transactional application data concepts and technology.
• Proven experience with data engineering and ability to manage large data volumes.
• Understanding of data analytics life cycle methodologies including data cleansing and preparation methodologies.
• Strong familiarity with data extraction in various environments (e.g., SQL, JQuery).
• Experience in managing multiple projects with tight deadlines in a collaborative environment.
• High level of competency in statistical and analytical principles, tools, and techniques.
• Understanding of various database environments (IBM DB2, Oracle, Netezza) and technical programming skills (SAS, SQL, Toad).
• Exposure to applied data science tools (R, Python, SAS E-Miner) and familiarity with data visualization and BI tools (Tableau, MicroStrategy).
• Demonstrated proficiency in Microsoft Office Suite (Excel, PowerPoint, Word).

Nice-to-haves

• Master's degree in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering.
• 8+ years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering.

Benefits

• Medical, dental, and vision insurance
• Life insurance
• Disability insurance
• Accidental death and dismemberment insurance
• Tax-preferred savings accounts
• 401k plan
• Vacation days (minimum of 10 days)
• Sick days (minimum of 10 days)
• Paid holidays
• Defined benefit pension plan (depending on position)
• Restricted stock units (depending on position)
• Deferred compensation plan (depending on position)