Summary:

Internal Audit Data Analytics team is looking for a dedicated team player who shares our passion for data and process improvement to provide analytics support to our Internal Audit organization. This role reports to the Data Analytics Sr. Manager - Internal Audit and will play an integral role in advancing the data analytics goals and skill sets of the Internal Audit (IA) function. This position will actively drive the integration of data analytics and associated data visualizations into internal audit projects to deliver innovative insightful and actionable analyses. As a role that provides data visibility across all business and functional units of our enterprise you will develop reporting/analytics solutions in response to requests of a diverse scope including but not limited to risk assessments audit execution continuous auditing/monitoring solutions and special projects.

Primary Duties & Responsibilities:

• Develop analytical scripts tests and analytical reports using Alteryx and/or SQL Python PySpark/Spark based query.

• Design build and maintain scalable data analytics solutions within Databricks including notebooks workflows data pipelines and reusable analytics assets to support audit execution and continuous monitoring.

• Use AI-enabled tools and techniques to support audit analytics activities including data profiling pattern detection natural language querying code assistance anomaly detection text analytics and predictive insights where appropriate.

• Lead development of ad-hoc/continuous monitoring reporting as needed to support internal investigations special projects and the on-going monitoring of various risk areas.

• Design and deliver dashboards and interactive reports using Power BI Tableau or similar business intelligence tools enabling Internal Audit stakeholders to explore data monitor risks identify exceptions and make informed decisions.

• Partner with Internal Audit leadership to increase the effectiveness and efficiency of the function by embedding data analytics automation visualization AI-enabled insights and continuous monitoring into internal audit processes.

• Collaborate with audit teams to define audit objectives understand business processes and risks identify data analytics opportunities document requirements and develop appropriate analytics approaches.

• Engage Internal Audit leadership and stakeholders to present recommendations on new and innovative analytics-based and AI-enabled initiatives.

• Identify evaluate and obtain access to enterprise data sources required for audit analytics continuous risk monitoring dashboard development and internal audit projects.

• Work with structured and unstructured data from multiple enterprise systems including ERP finance operational compliance and third-party data sources.

• Build repeatable well-documented and validated analytics workflows that can be reused across audits monitoring programs and business risk areas.

• Review project work papers analytics workflows to ensure proper documentation validation of data and completion of the project.

• Apply appropriate data governance privacy security and access control practices when working with sensitive enterprise data.

• Learn apply and promote data analytics AI automation and visualization skills among Internal Audit colleagues through knowledge sharing mentoring training and the recommendation of appropriate tools and techniques.

• Stay current with emerging technologies including AI machine learning cloud data platforms Databricks data visualization tools automation solutions and audit analytics trends.

Educational & Experience Requirements:

• Bachelors degree in Accounting Finance Business Analytics Data Analytics Computer Science Information Systems Engineering Statistics Mathematics or another related field; or equivalent work experience.

• Minimum of 7-years of professional experience in data analytics audit analytics risk management public accounting internal audit compliance finance analytics or a related field.

• Strong experience retrieving transforming analyzing and validating data using tools and technologies such as SQL Alteryx Python PySpark Spark and/or Databricks.

• Hands-on experience working in Databricks including use of notebooks clusters jobs/workflows Delta tables data pipelines and collaborative development practices.

• Experience developing analytics solutions using cloud-based or Lakehouse data environments is preferred.

• Experience applying AI machine learning or advanced analytics techniques to business risk finance audit compliance operational or investigative use cases.

• Experience using AI-enabled tools to improve analytics development automate data analysis tasks generate insights summarize large datasets or accelerate dashboard and report development is preferred.

• Strong experience with business intelligence and data visualization tools such as Power BI Tableau Qlik or similar platforms.

• Demonstrated experience designing and building dashboards scorecards interactive reports exception reports and executive-level analytics summaries.

• Experience with data storytelling including translating complex data analyses into clear insights business implications and actionable recommendations.

• Experience with SAP solutions ERP data finance data procurement data order-to-cash procure-to-pay inventory compliance or other enterprise process data is preferred.

• Experience with robotic process automation process mining workflow automation or related automation technologies is a plus.

• Alteryx Databricks Power BI Tableau SQL Python cloud data audit risk or data analytics certification is preferred.

Minimum Skills Knowledge and Ability Requirements:

• Strong skills in query development using SQL or equivalent query/scripting tools.

• Strong analytical skills in data analysis statistical/quantitative analysis data mining business intelligence data visualization and exception reporting.

• Working knowledge of Python PySpark Spark SQL or similar programming languages used for data transformation analytics and automation.

• Knowledge of Databricks capabilities including notebooks data engineering workflows data exploration Delta Lake concepts and scalable analytics development.

• Ability to build compelling intuitive and user-friendly dashboards and interactive reports that support risk identification audit execution continuous monitoring and management decision-making.

• Understanding of AI and machine learning concepts including practical use cases such as anomaly detection predictive analytics clustering classification text analytics and natural language processing.

• Ability to responsibly and effectively use AI-enabled tools to support analytics development while maintaining appropriate human oversight validation data privacy and governance.

• Strong business and financial acumen including an understanding of functional linkages between processes risks controls systems and data.

• Demonstrated understanding of the internal audit function and the role of Internal Audit as an independent objective assurance and advisory partner to the business.

• Ability to translate audit risk and business questions into data requirements analytical approaches visualizations and actionable insights.

• Strong data quality and validation mindset including the ability to assess completeness accuracy reasonableness and reliability of data used in audit analytics.

• Strong documentation skills including the ability to document analytics logic data sources assumptions validation steps limitations and conclusions.

• Strong interpersonal skills with the ability to work across teams and organizational levels to influence collaborate and drive change toward common goals.

• Excellent communication skills both oral and written with the ability to explain technical concepts to non-technical stakeholders.

• Excellent knowledge of Microsoft applications especially Excel PowerPoint Teams and related productivity tools.

• Ability to balance multiple priorities manage competing deadlines and deliver high-quality work in a dynamic environment.

• Self-starter who is motivated to lead change improve processes challenge the status quo and enhance the Internal Audit departments data analytics AI automation and reporting capabilities.

Preferred Qualifications:

• Experience supporting internal audit compliance SOX finance operational risk fraud detection third-party risk or enterprise risk management analytics.

• Experience working with large enterprise datasets and integrating data from multiple systems.

• Experience building reusable analytics frameworks audit testing libraries continuous monitoring dashboards or automated exception reporting processes.

• Experience with cloud data platforms data lakes data warehouses or Lakehouse architectures.

• Familiarity with data governance data lineage privacy security and access management concepts.

• Experience with audit management systems GRC platforms ERP systems or financial reporting systems.

• Demonstrated curiosity and interest in emerging technologies including generative AI machine learning process mining automation and advanced data visualization.

What Cencora offers

We provide compensation benefits and resources that enable a highly inclusive culture and support our team members ability to live with purpose every addition to traditional offerings like medical dental and vision care we also provide a comprehensive suite of benefits that focus on the physical emotional financial and social aspects of wellness. This encompasses support for working families which may include backup dependent care adoption assistance infertility coverage family building support behavioral health solutions paid parental leave and paid caregiver leave. To encourage your personal growth we also offer a variety of training programs professional development resources and opportunities to participate in mentorship programs employee resource groups volunteer activities and much more. For details visit time

Equal Employment Opportunity

Cencora is committed to providing equal employment opportunity without regard to race color religion sex sexual orientation gender identity genetic information national origin age disability veteran status or membership in any other class protected by federal state or local law.

The companys continued success depends on the full and effective utilization of qualified individuals. Therefore harassment is prohibited and all matters related to recruiting training compensation benefits promotions and transfers comply with equal opportunity principles and are non-discriminatory.

Cencora is committed to providing reasonable accommodations to individuals with disabilities during the employment process which are consistent with legal requirements. If you wish to request an accommodation while seeking employment please call 888.692.2272 or email . We will make accommodation determinations on a request-by-request basis. Messages and emails regarding anything other than accommodations requests will not be returned

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