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Audit Analytics Consultant
GuideWell Source. Support all phases of internal audit projects, including planning and scoping, testing and reporting .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis, including the ability to create data extractions and custom analyses using SQL, R, and Python. Proven experience in transforming complex datasets to identify trends and risks, along with strong leadership capabilities in managing data analysis teams.
Highest-signal resume keywords
Data Analysis ExperienceSQL ProficiencyR ProgrammingPython ProgrammingTeam Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ExtractionData TransformationData ModelingStatistical AnalysisQuery Creation
Soft Skills
Timely DeliveryFeedback Provision
Tools & Technologies
SASPositSnowflake
Industry Keywords
InsuranceHealthcareClaimsEnrollmentBilling
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Support all phases of internal audit projects, including planning and scoping, testing and reporting
- Support external audit, legal, compliance and special investigation unit initiatives
- Create data extractions and custom analyses using SQL, R and Python through SAS, Posit, Snowflake or other reporting and analysis tools
- Deliver high-quality work products in a timely manner
- Identify and implement analysis and reporting solutions using different data models
- Acquire, transform and translate large and complex datasets to identify trends, risks, outliers and unexpected patterns
- Review data flows and process diagrams created by subject matter experts or junior staff
- Review SQL queries and code artifacts and provide feedback to junior staff
Requirements
What you’ll need- 5+ years related work experience, specifically data analysis experience
- Bachelor's degree required in Accounting Information Systems, Computer Science, Statistics, Mathematics, Actuarial Science, Data Science or related field
- Ability to quickly review data models/metadata for new operational data stores and create queries per project requirements
- Preferred: Master’s degree in Statistics, Mathematics, Engineering, Actuarial Science, Computer Science, or Data Science
- Preferred: Experience with the Insurance or Healthcare industry including products, claims, and/or enrollment and billing
- Preferred: Management experience leading a team of data analysts
Benefits
Comp & perks- Medical, dental, vision, life and global travel health insurance
- Income protection benefits: life insurance, short- and long-term disability programs
- Leave programs to support personal circumstances
- Retirement Savings Plan including employer match
- Paid time off, volunteer time off, 10 holidays and 2 well-being days
- Additional voluntary benefits available
- Comprehensive wellness program
- Opportunities for incentive or commission compensation
- Annual reviews with pay for performance considerations for base pay increases