The purpose of the Data Analytics, Internal Audit team is to enhance the value and impact of Internal Audit at AbbVie by leveraging analytics and data-driven insights to proactively identify risks, uncover opportunities for operational improvement, and support informed, objective decision-making across the enterprise. Design and implement advanced statistical models including decision trees, regression analyses, and natural language processing (NLP) techniques to identify anomalies, patterns, and risk indicators across enterprise datasets. Develop and maintain population-level data analytics frameworks to support both ad-hoc audit testing requests and ongoing continuous monitoring initiatives. Collaborate with internal audit teams to translate audit objectives into analytical approaches, ensuring data science methodologies align with audit standards and compliance requirements. Build predictive models and classification algorithms using decision trees and ensemble methods to assess risk profiles and prioritize audit focus areas. Apply NLP techniques to analyze unstructured data sources (e.g., contracts, emails, transaction narratives) to detect potential compliance issues or fraudulent activities. Perform multivariate regression analyses to identify relationships between variables and quantify risk factors across business processes. Create automated data pipelines and monitoring dashboards to enable real-time detection of control failures or unusual transaction patterns. Partner with cross-functional stakeholders to define key risk indicators and develop statistical thresholds for continuous monitoring alerts. Mentor junior analytics team members on data science techniques, statistical best practices, and audit analytics applications. Stay current with emerging data science technologies and audit analytics trends to continuously enhance the team's analytical capabilities. Present complex analytical findings to audit leadership and business stakeholders in clear, actionable formats that support audit conclusions and recommendations.
Bachelor’s degree in Computer Science, Statistics, Data Science or Related Field MBA/Master's in relevant field preferred Minimum 6+ years of progressive and related experience. Proficiency in Python, SQL, R, PowerBI/Tableau experience preferred
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our short-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: https://www.abbvie.com/join-us/reasonable-accommodations.html