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Internal Audit Data Analyst Jobs (NOW HIRING)

Vangard, Inc.

Sr. Data Analyst, Internal Audit

Malvern, PA · On-site

$84K - $106K/yr

We are hiring a Senior Data Analyst for our Internal Audit Analytics & Automation team! As a Senior Data Analyst, we are seeking a hands-on analytics and automation professional who can code, build ...

ADT

Supervisor, Internal Audit

Boca Raton, FL · On-site

$95K - $126K/yr

Reporting to an Internal Audit Manager, the Internal Audit Supervisor is an experienced auditor ... Analyze data sets and provide guidance to staff and seniors so data analytics can be incorporated ...

Allegion

Manager - Internal Audit

Carmel, IN · On-site

$100K - $133K/yr

Manager-Internal Audit-Carmel, IN (Onsite) Qualified candidates must be legally authorized to be ... Drive adoption of audit data analytics and automation to increase audit coverage and efficiency.

Allegion

Manager - Internal Audit

Carmel, IN

$100K - $133K/yr

Manager-Internal Audit-Carmel, IN (Onsite) Qualified candidates must be legally authorized to be ... Drive adoption of audit data analytics and automation to increase audit coverage and efficiency.

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$126.5K

How much do internal audit data analyst jobs pay per year?

As of Jun 9, 2026, the average yearly pay for internal audit data analyst in the United States is $89,650.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,500.00 and $116,500.00 per year, depending on experience, location, and employer.

How does an Internal Audit Data Analyst typically collaborate with audit teams during an audit cycle?

Internal Audit Data Analysts work closely with auditors throughout the audit cycle to provide data-driven insights that inform audit planning, risk assessment, and testing. They collaborate by extracting and analyzing large datasets, identifying trends or anomalies, and presenting findings to the audit team to help focus audit efforts. This close partnership ensures that audits are more efficient, targeted, and evidence-based, while also enabling the analyst to deepen their understanding of business processes and controls. Regular communication and joint review sessions are common, fostering a collaborative and supportive work environment.

What are the key skills and qualifications needed to thrive as an Internal Audit Data Analyst, and why are they important?

To thrive as an Internal Audit Data Analyst, you need strong analytical skills, a solid understanding of auditing principles, and a degree in accounting, finance, or a related field. Familiarity with data analytics tools like ACL, IDEA, SQL, and proficiency in Excel, as well as relevant certifications such as CISA or CIA, are highly beneficial. Attention to detail, critical thinking, and effective communication are essential soft skills for interpreting data and presenting findings clearly. These skills ensure accurate risk assessment, efficient audit processes, and actionable insights that support organizational compliance and improvement.

What does an Internal Audit Data Analyst do?

An Internal Audit Data Analyst is responsible for analyzing and interpreting data to support internal audit activities within an organization. They use data analytics tools to identify trends, assess risks, and detect anomalies or irregularities in business processes. Their work helps auditors focus on areas of concern, improve efficiency, and provide actionable insights to management for better decision-making. Additionally, they may assist in developing automated audit tests and reporting dashboards to enhance audit effectiveness.
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Internal Audit Data Analyst jobs near you
Infographic showing various Internal Audit Data Analyst job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 51% Full Time, 37% Part Time, and 11% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $89,650 per year, or $43.1 per hour.
Lead Data Analyst - Internal Audit

Lead Data Analyst - Internal Audit

Cencora

Conshohocken, PA • On-site

Full-time

Medical, Dental, Vision

Posted 12 days ago

Job description

Our team members are at the heart of everything we do. At Cencora, we are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center of health, come join our innovative company and help us improve the lives of people and animals everywhere. Apply today!
Job Details
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:
  • Bachelor's 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 department's 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 day. In 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 https://www.virtualfairhub.com/cencora
Full 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 company's 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 hrsc@cencora.com. We will make accommodation determinations on a request-by-request basis. Messages and emails regarding anything other than accommodations requests will not be returned
Affiliated Companies
Affiliated Companies: AmerisourceBergen Services Corporation

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