Analytics Data Engineer III

Truist Bank offers a comprehensive benefits package designed to support your well being and financial security, including medical, dental, vision, life, disability, accidental death and dismemberment protection, tax advantaged savings options, a 401k plan, vacation and sick time, paid holidays, a defined benefit pension, restricted stock units, and a deferred compensation plan. This onsite role in Atlanta, GA focuses on sourcing, analyzing, and maintaining data assets for Truist’s Retail Community Bank portfolio and related operations, with leadership across end-to-end data projects. The team emphasizes collaboration across lines of business, knowledge sharing, and ongoing learning to stay current with banking data technologies.

Responsibilities

• Lead the research, design, development and maintenance of data sources to meet projects and business requirements; perform analysis, validation and interpretation of outputs; own issues through to resolution with close coordination between LOB partners and data engineers.
• Apply quantitative analysis principles to transform data assets for consumption by decision makers and data scientists across the bank.
• Use a full range of reporting options including static reports, OLAP, and dashboards, collaborating with senior management and BI Architecture and Reporting Managers to define objectives and data transformations.
• Partner with LOB analytics groups via regular communication and periodic user forums; participate in internal and external forums to share knowledge and stay current with banking technology advances.
• Develop training materials and user documentation related to data and report retrieval; mentor team members and LOB partners on new products and reporting tools; guide efficient coding practices.
• Prioritize and manage ad hoc reporting efforts with clear expectations for LOB partners and management.
• Propose solutions to improve data integrity, analyze data issues, and coordinate with development teams to implement resolutions; identify trends and patterns in complex datasets.
• Foster cross-level collaboration across the organization, engaging with mid-level managers to ensure alignment and progress.

Requirements

• Bachelor's degree and 6+ years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering.
• Demonstrated knowledge of data warehousing and transactional application data concepts and technology.
• Proven experience in data engineering with the ability to manage large data volumes.
• Understanding of data analytics lifecycle methodologies, including data cleansing and preparation, such as regex, filtering, indexing, interpolation and outlier treatment.
• Strong familiarity with data extraction in environments including SQL and JQuery.
• Experience managing multiple projects with tight deadlines in a collaborative setting.
• High competency in statistical and analytical principles, tools and techniques.
• Understanding of various database environments (IBM DB2, Oracle, Netezza), programming skills (SAS, SQL, Toad), exposure to applied data science tools (R, Python, SAS E-Miner), familiarity with data visualization/BI tools (Tableau, MicroStrategy), and proficiency in Microsoft Office Suite (Excel, PowerPoint, Word).

Technologies

• SQL
• JQuery
• IBM DB2
• Oracle
• Netezza
• SAS
• Toad
• R
• Python
• SAS E-Miner
• Tableau
• MicroStrategy
• Excel
• PowerPoint
• Word

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Life insurance
• Disability insurance
• Accidental death and dismemberment
• Tax-preferred savings accounts
• 401k plan
• Vacation days
• Sick days
• Paid holidays
• Defined benefit pension plan
• Restricted stock units
• Deferred compensation plan