SAS Data Engineering and Automation Analyst

Job Description

This role encompasses the following responsibilities: process automation, project oversight, remediation, compliance, and data mart development and maintenance.

Position Highlights

• Management of automation and critical data infrastructure.
• Identify opportunities to optimize the reporting process by developing automated solutions and reducing the number of manual reporting duties.
• Develop datasets that are straightforward to comprehend and analyze.
• Guarantee and enhance the integrity and efficiency of data.
• Consistent and machine-readable formats are generated by combining unprocessed information from various sources.
• Create and evaluate architectures that facilitate data extraction and transformation for predictive or prescriptive modeling.
• In a swiftly changing environment, collaborates with operations teams and senior leadership to adapt and improve operations workflow applications.
• Maintains a seamless service to the customer base while facilitating and leading complex data infrastructure changes.
• Collaborates with fraud reporting and operations teams to establish essential data infrastructure and automations that facilitate compliance measures and reporting.
• Testing and ongoing quality assessment of data mart outputs, as well as the completion and supervision of change controls.
• Understands the impact and motivation of compliance and regulatory factors on work efforts and maintains awareness of them.
• Generates and preserves documentation concerning data infrastructure and its associated critical controls.

Minimum Requirements

• A bachelor’s degree or equivalent work experience.
• Typically, a minimum of six years of experience in the relevant field.

Desired Qualifications and Experience

• Experience and proficiency in SAS programming and analysis are essential.
• A thorough understanding of the key performance indicators (KPIs) in the industry and the data that underpins them.
• Strong analytical abilities in the context of assessing fraud prevention infrastructure.
• Executive-level reports require meticulous attention to detail.
• Comprehensive understanding of banking operations, strategic planning, and misconduct.
• Five years or more SAS and SQL are the primary tools in a professional business environment. A working understanding of data architectures and strategies is required.
• Proficient in project management.
• Proficient in PowerPoint and Excel.
• Strong experience in both written and verbal presentations to upper management and executive levels.
• 5-7 years of experience in the financial services or banking industry.