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Truist Retail Analytic Data Engineer - Location Flexible in Atlanta, Georgia

Req ID: R0040256

The position is described below. If you want to apply, click the Apply button at the top or bottom of this page. You'll be required to create an account or sign in to an existing one.

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Regular or Temporary:

Regular

Language Fluency: English (Required)

Work Shift:

1st shift (United States of America)

Please review the following job description:

The incumbent will act as a data engineer responsible for sourcing, analyzing, documenting and maintaining data assets related to Truist's Retail Community Bank portfolio and operational processes. Ensure processes deliver data that are accurate, complete, current, understandable and accessible. The incumbent will be aligned to specific lines of business (LOB) and will work towards gaining expertise on other LOBs as well. Should be capable to lead project end to end in his area of expertise.

Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.

  1. 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. Take ownership of issues through resolution, including close coordination between LOB partners and data engineers.

  2. Have a deep understanding of various quantitative analysis principles and ability to transform data assets to aid in consumption by decision & data scientists across the bank.

  3. Work closely with team members and BI Architecture and Reporting Managers concerning data organization, transformations, formatting, OLAP, tool choices etc. to define and implement reporting objectives.

  4. Prioritize and manage ad hoc reporting efforts by providing clear expectations to LOB partners and management.

  5. Develop solutions and recommendations for improving data integrity issues. Analyze data issues and work with development teams for problem resolutions. Identify problematic areas and conduct research to determine the best course of action to correct the data, identify, analyze and interpret trends and patterns in complex datasets.

  6. Foster communication and partnership across multiple levels of the organization including engagement with line of business contributors and junior-level managers.

QUALIFICATIONS

Required Qualifications:

The incumbent must demonstrate a combination of academic aptitude, quantitative skills, business acumen, working knowledge of transaction processing application software, such as loan and deposit accounting systems, application processing systems, and collection inventory systems, 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.

  1. Bachelor's degree and 5+ years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering.

  2. Demonstrated knowledge and skill in data warehousing and transactional application data concepts and technology.

  3. Proven experience with data engineering and ability to manage large data volumes.

  4. Candidate should demonstrate understanding of data analytics life cycle methodologies including data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment.

  5. Strong familiarity with data extraction in a variety of environments (e.g., SQL, JQuery, etc.).

  6. Experience in managing multiple projects with tight deadlines in a collaborative environment.

  7. Maintain a high level of competency in statistical and analytical principles, tools, and techniques.

  8. Incumbent should have an understanding of various database environments (IBM DB2, Oracle, Netezza), 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)

Preferred Qualifications:

  1. Master's degree in field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering.

  2. 8+ years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science or Engineering

Truist supports a diverse workforce and is an Equal Opportunity Employer who does not discriminate against individuals on the basis of race, gender, color, religion, national origin, age, sexual orientation, gender identity, disability, veteran status or other classification protected by law. Drug Free Workplace.

Thank you for your interest in Truist! BB&T and SunTrust have come together in a transformational merger of equals to create Truist, the premier financial organization in the country. You may notice references to our legacy company names, BB&T and SunTrust, in places throughout this site. All such references should be understood to refer to Truist moving forward while we continue to transition to the Truist name.

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