Audit Innovation and Data Analytics Analyst

Job Summary

Collaborates with the Innovation and Data Analytics Center of Excellence, the audit delivery teams, and lines of businesses to increase the analytic capabilities within Synovus Audit Services. With minimal guidance from the Senior Audit Manager of Innovation and Data Analytics, designs, develops and employs quantitative and qualitative analysis in support of audits of Synovus' key strategic objectives, leveraging coding approaches from various software packages and querying tools. Typically manages multiple assignments in support of audit engagements and projects, and may lead some project management efforts. Challenges the completeness and accuracy of data sources and interprets the outcome of analytics to reveal and effectively communicate insights.

Job Duties and Responsibilities

• Acts as a change agent within Synovus Audit. Develops, recommends and champions innovation and data analytic strategies and methodologies for use by Synovus Audit. Solid knowledge and understanding of audit or risk methodologies and techniques. Supports audits of Synovus processes which support key strategic objectives.
• Uses SQL to interact directly with database systems to assess data and generate queries for use within Audit, and in reporting, dashboarding and automation. Leverages coding approaches in SQL, Python, R, Power BI, or other analytic tools/programming languages to develop, test, evaluate, and implement meaningful insights.
• Uses data analysis techniques to acquire, transform, and translate large and complex datasets into data-driven solutions that identify trends, risks, outliers, and unexpected patterns. Analyzes data to identify and implement new data solutions that improve effectiveness of the audit plan and execution across our audit universe, and communicates the strengths and weaknesses of the various approaches within Audit. Provides input and develops recommendations to further audit assurance.
• Manages multiple assignments simultaneously for Data Analytics in support of audit engagements, including multiple projects across several stakeholders, users, and analysts. May serve as primary analytics liason responsible for project management efforts in support of audit engagements. Independently coordinates with cross-functional teams to determine sources of data for assurance testing and evaluating the results. Collaborates with internal audit stakeholders, business units, and audit leadership to design and develop data-driven insights into business processes and controls.
• Iterates and refines business intelligence solutions as new information becomes available or as requirements are refined. Provides quantitative and qualitative reporting and analysis for data-driven assurance activities, and value-added actionable recommendations to improve audit engagement testing. Summarizes key findings and tells the story from the analysis. Presents and explains technical information in a way that establishes rapport, persuades others, and promotes understanding.
• Supports efforts to upskill and enable Audit team members in data analytics, including data mining, sourcing, cleaning, transferring, and loading to analytics tools. Coaches team members regarding technical coding skills and the use of automation in various phases of the audit lifecycle.
• May train, coach or direct the work of lower level analysts or team members as it relates to data analytics support.
• Drive the innovative use of analytics through all phases of an audit. Identifies and recommends opportunities for alternative approaches or solutions to provide greater risk assurance. Remains current on trends in data analytics and data science, including techniques, tools, and best practices. Helps identify emerging trends in technology for future growth and development.
• Each team member is expected to be aware of risk within their functional area. This includes observing all policies, procedures, laws, regulations and risk limits specific to their role. Additionally, they should raise and report known or suspected violations to the appropriate Company authority in a timely fashion.
• Performs other related duties as required.

The information on this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.

Synovus is an Equal Opportunity Employer committed to fostering an inclusive work environment.

Qualifications

Minimum Education:

Bachelor's degree in Computer Science, Analytics, Statistics, Mathematics or a related quantitative discipline and/or business or an