Audit Data Analyst - Audit Manager (Senior)

USAA•Charlotte, NC

1d•$114,080 - $218,030•Hybrid

About The Position

USAA is seeking a talented Audit Data Analyst – Audit Manager (Senior) for their Charlotte, North Carolina location. This role is responsible for audit analytics, internal projects and initiatives, and the adoption of analytic approaches. The Audit Data Analyst - Audit Manager (Senior) will own, lead, and execute high-quality analytic control tests and data analytics for the Audit function, systematically evaluating and improving the effectiveness of audits through data, automation, and continuous innovation. The role offers a flexible work environment requiring 4 days in the office per week and can be based in Charlotte, NC, Plano, TX, or San Antonio, TX.

Requirements

Bachelor's degree in quantitative analytics, Economics, Finance, Statistics, Mathematics, Operations Research, Data and/or Business Analysis, Data Science, or other quantitative discipline. 4 additional years of related experience beyond the minimum required may be substituted in lieu of a degree.
6 years experience with analytic coding techniques, visualization tools and creating reporting dashboards.
3 years experience in SAS, Tableau, Power BI, Alteryx, SQL, RPA, Power BI or other data analysis tools.
3 years experience working on data and analytics in an Audit or Controls functional business area.
2 years experience building visualization analytics to present scenarios from the data and storytelling in an Audit or other Control function.
Experience in Databases – Data Architecture, Data Modeling, Data Loads.
Ability to proactively identify issues and propose resolution options.
Proficient in analyzing multiple sources of data to derive insights towards audit objectives.
Experience building continuous reporting and/or automation solutions that support risk identification.
Familiarity using audit or Governance Risk and Compliance (GRC) software such as Archer or other related tools.
Knowledge of the insurance and financial services industry and applicable regulations.
Strong written and verbal communication skills that deliver quality, actionable and beneficial feedback to management on potential control issues and solutions to close gaps.
Audit or other risk management experience.

Nice To Haves

Master’s degree in data science
Experience working alongside business and audit partners to identify analytical opportunities.
Experience with developing or deploying AI solutions within a regulated environment.
Advanced skills with Tableau and working with Snowflake environment.
Experience guiding and coaching team members in cross-matrix teams.
Working knowledge of statistical/data mining analysis tools, relationship databases and programming languages within the Big Data environment.
US military experience through military service or a military spouse/domestic partner.

Responsibilities

Leading and executing audit data analytics for an assigned area(s) within Audit services.
Engaging with various levels across the Audit department by finding new opportunities for integrating data analytics and solutions.
Defining use cases, collaborating with business analytics consultants, and collaborating with audit teams to embed the solutions in their processes.
Identifying continuous analytics and/or automation solutions within assigned CoSA audits.
Executing data strategy and transformation in alignment with Audit business objectives.
Assisting with planning and organizing the innovation pipeline and provide strategic updates to audit data analytics leadership and audit leadership teams.
Participating and/or leading data analytics discussions within the audit lifecycle with Audit and business partners.
Engaging with peers, managers, and leaders across the enterprise, and serving as an advisor to the leadership team.
Presenting data analytics results and insights to audit partners and business partners.
Executing data analytics within their assigned audits and identifying continuous analytics solutions.
Providing subject matter expertise in operationalizing data driven recommendations.
Developing and incorporating visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.
Leveraging advanced business, analytical and technical knowledge to participate or lead discussions with both audit teams and business partners to understand and collaborate on highly complex audit / business objectives.
Applying innovative and analytical approaches to draw conclusions and make 'insight to action' recommendations to answer and drive the appropriate change.