Data Analyst Lead Audit

It’s a great time to join AAA The Auto Club Group! 

JOIN THE TEAM COMMITTED TO DRIVING YOUR CAREER FORWARD

Job Type:

Full time

 

Exempt/Non Exempt:

 

Salary

Job Description:

 

Data Analyst Lead Audit – The Auto Club Group

What you will do:

Working within an Internal Audit department, obtains and analyzes large, diverse data sets to drive better business decisions and to identify business problems, in the context of financial, regulatory, reputational, and operational risk.

Mines data, performs quantitative analysis and creates clear and actionable narratives about the business.

Conducts research and special studies as requested.

Performs business intelligence analysis and provides meaningful reporting to operations and the Internal Audit leadership team.

Produces meaningful analytic reports on corporate business policies, processes, and performance with a focus on risk and control.

Offers recommendations for new data analytic techniques and methodologies.

Provide guidance to and mentors junior team members, including review of work product for quality and relevance, executing data analysis in audit projects, and achievement of business objectives.

Work Environment

This position is currently able to work remotely from a home office location for day-to-day operations unless occasional travel for meetings, collaborative activities, or team building activities is specified by leadership. This is subject to change based on amendments and/or modifications to the ACG Flex Work policy.

How you will benefit:

Data Analyst Lead Audit will earn a competitive salary of $82,000 to $117,000 annually with annual bonus potential based on performance.

• Excellent and comprehensive benefits packages are just another reason to work for the Auto Club Group. Benefits include:
• 401k Match
• Medical
• Dental
• Vision
• PTO
• Paid Holidays
• Tuition Reimbursement

We’re looking for candidates who:

Required Qualifications (these are the minimum requirements to qualify)

Education (include minimum education and any licensing/certifications):

• Bachelor's degree in Mathematics, Computer Science, Statistics, or related quantitative field 

Experience:

• 3+ years in an analytics or business intelligence setting,  including experience using one or more of the following analytic tools: SAS, SQL, R, Python, SPSS

Extensive experience in:

• Extracting and manipulating large data sets in Oracle databases and mainframe sequential files for analysis, including integration of diverse data sources
• Interpreting and understanding business strategies and goals to find emerging issues and root-causes for anomalies
• Complex data analysis
• Requirements gathering and documentation
• Troubleshooting data issues; data reconciliation with consistent attention to detail
• Designing and delivering reports, visualizations, or presentations that are understandable for both technical and non-technical audiences, and explain the importance and relevance of results to business requirements
• Translating high level business goals into the tasks and technical specifications needed to perform meaningful data analysis
• Developing positive relationships with IT and corporate business intelligence  departments and personnel
• Working with PC software applications (e.g., Word, Excel, Visio)

Knowledge and Skills:

Extensive knowledge and skills:

• Mathematical/statistical, reasoning, and logic skills; Understanding of statistical concepts (e.g. hypothesis testing, regression analysis)
• Data design principles
• Understanding of database structures, theories, principles, and practices
• Solid understanding of data capture, data mapping, and data cleansing
• Applying analytic skills to solve problems creatively; Ability to investigate and determine root causes of issues; Strong analytical problem solving, requirements facilitation, and collaboration skills; Consistently looks for better ways to achieve business results; recognizes problems as opportunities for process improvement
• Self-motivated, flexible, organized, and able to perform with minimal supervision; Pro-actively make recommendations as issues and opportunities arise
• Demonstrated ability to communicate, verbally and in writing, complex information to others in an understandable way

Preferred Qualificatio