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Intern Internal Audit Data Analytics Jobs (NOW HIRING)

Sysco

Finance Intern - Internal Audit

Houston, TX · On-site

$17 - $22.25/hr

Internal Audit encompasses SOX compliance, operational auditing, investigations, and data analytics ... As an intern, you are exposed to relevant projects and challenges in a dynamic environment. * We ...

Cibc

2027 Summer Intern - Internal Audit

Chicago, IL · On-site

$25/hr

As a Summer Intern, you'll support the team with audit testing, documentation, and coordination ... You'll also contribute to project coordination, data analysis, and process automation initiatives ...

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How much do intern internal audit data analytics jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for intern internal audit data analytics in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What does an intern in internal audit data analytics do?

An Intern in Internal Audit Data Analytics assists audit teams by analyzing company data to identify patterns, trends, and potential risks. They use data analysis tools to help assess the effectiveness of internal controls and ensure compliance with company policies and regulations. The role typically includes tasks like data extraction, cleaning, and visualization, as well as preparing reports for auditors. This internship provides exposure to both auditing processes and data analytics techniques, offering valuable experience for careers in finance, accounting, or data science.

What are the key skills and qualifications needed to thrive as an intern in internal audit data analytics?

To thrive as an Intern in Internal Audit Data Analytics, you need a solid grounding in accounting or finance principles, data analysis skills, and typically a pursuit of a relevant degree such as finance, accounting, or data science. Familiarity with data analytics tools like Excel, SQL, and audit software such as ACL or IDEA is common, along with proficiency in visualization platforms like Power BI or Tableau. Strong attention to detail, analytical thinking, and clear communication help you interpret data findings and present insights effectively. These skills are crucial for identifying risks, ensuring accurate audits, and supporting data-driven decision-making within the organization.

What types of projects and tasks can I expect as an intern in internal audit data analytics?

As an Intern in Internal Audit Data Analytics, you can expect to work on projects that involve gathering, cleaning, and analyzing large sets of financial and operational data to support audit objectives. Your daily tasks may include designing data queries, preparing reports, identifying trends or anomalies, and assisting senior auditors with data-driven insights. Collaboration with both audit teams and IT professionals is common, as you'll help translate business questions into analytical approaches. This role offers a hands-on learning environment and exposure to various business processes, providing a strong foundation for a future career in audit, analytics, or risk management.

What is the difference between Intern Internal Audit Data Analytics vs Intern Internal Controls?

AspectIntern Internal Audit Data AnalyticsIntern Internal Controls
FocusAnalyzing data to identify audit risks and trendsAssessing and testing internal control processes
SkillsData analysis, Excel, audit softwareProcess evaluation, compliance, documentation
CertificationsBasic knowledge of audit standards, data analytics toolsUnderstanding of control frameworks (e.g., COSO)
Work EnvironmentAudit teams, data analysis projectsInternal audit departments, compliance teams

Intern Internal Audit Data Analytics focuses on analyzing data to support audit findings, while Intern Internal Controls emphasizes evaluating and testing internal processes. Both roles are essential in internal audit functions but differ in their core activities and skill requirements.

What cities are hiring for Intern Internal Audit Data Analytics jobs?

Cities with the most Intern Internal Audit Data Analytics job openings:

What are the most commonly searched types of Internal Audit Data Analytics jobs?

The most popular types of Internal Audit Data Analytics jobs are:

What states have the most Intern Internal Audit Data Analytics jobs?

States with the most job openings for Intern Internal Audit Data Analytics jobs include:

Intern Internal Audit Data Analytics jobs near you

Internal Audit-Data Analytics -New York-Vice President

Goldman Sachs, Inc.

New York, NY • On-site

$110K - $146K/yr

Full-time

Re-posted 23 days ago

Goldman Sachs rating

7.8

Company rating: 7.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

88th of 175 rated banks

Job description


What We Do
Internal Audit's mission is to independently assess the firm's internal control structure, including the firm's governance processes and controls, risk management, capital and anti-financial crime framework. In addition, it is also to raise awareness of control risk and monitor the implementation of management's control measures.
In doing so, internal Audit:
  • Communicates and reports on the effectiveness of the firm's governance, risk management and controls that mitigate current and evolving risk
  • Raise awareness of control risk
  • Assesses the firm's control culture and conduct risks; and
  • Monitors management's implementation of control measures

Goldman Sachs Internal Audit is organized into global teams comprising of business and technology auditors that cover all the firm's businesses and functions - securities, investment banking, consumer and investment management, risk management, finance, cyber-security and technology risk, and engineering
Who We Look For
Goldman Sachs Internal Audit comprises individuals from diverse backgrounds including chartered accountants, developers, risk management professionals, cybersecurity professionals, and data scientists. We are organized into global teams comprising business and technology auditors to cover all the firm's businesses and functions, including securities, investment banking, consumer and investment management, risk management, finance, cyber-security and technology risk, and engineering.
Data Analytics
In Internal Audit, we ensure that Goldman Sachs maintains effective controls by assessing the reliability of financial reports, monitoring the firm's compliance with laws and regulations, and advising management on developing smart control solutions. Embed Data Analytics team leverages its programming and analytical capabilities to build innovative data driven solutions. The team works closely with auditors to understand their pain points and develop data-centric solutions to address the same
Your Impact
As part of the third line of defense, you will be involved in independently assessing the firm's overall control environment and its effectiveness as it relates to current and emerging risks and communicating the results to local/ global management. In doing so, you will be supporting the provision of independent, objective and timely assurance around the firm's internal control structure, thereby supporting the Audit Committee, Board of Directors and Risk Committee in fulfilling their oversight responsibilities.
We are looking for a strong data scientist, passionate about using data to challenge the norm, to join our Embed Data Analytics team. The candidate will work closely with the audit teams to build innovative and reusable analytical tools that will help make audit testing more efficient and provide meaningful insights into firm's control environment.
Responsibilities
  • Perform Database related activities - Data Modeling, Data Engineering, Data Governance, and maintenance of Entitlements.
  • Obtain/Manage requirements that are tailored to each audit project and provide the results that can be used to provide insight to auditors in terms of sample selection, control gap identification, completeness of data sources, and data integrity (i.e., Data Blessing)
  • Build production ready analytical tools to automate repeatable and reusable processes within IA using reporting tools such as Tableau, Spotfire or QlikView
  • Execute elected data analysis activities. Such activities may be defined as procedural or programmatic tasks related to the analysis, extraction, transformation, and uploading of data (structured and unstructured) (i.e., ETL processes).
  • Perform Data analysis activities that may also be supplemented by summarized technical narratives describing the integrity of specific automated controls.
  • Write data analysis code (e.g., Python, Java, or Slang)
  • Identify areas for process standardization and implement automation techniques in applications used for audit process and Data Analytics
  • Execute on Embed DA - Data strategy developed by IA management within the context of audit responsibilities, such as risk assessment, audit planning, creation of reusable tools and providing innovative solutions to complex problems.
  • Partner with audit teams to help identify risks associated with businesses and facilitate strategic data sourcing and develop innovative solutions to increase efficiency and effectiveness of audit testing.
  • Build and manage relationships and communications with Audit team members

Basic Qualifications
  • 8+ years of experience with a minimum of bachelor's in computer science, Math, or Statistics
  • Strong experience in RDBMS/ SQL
  • Exposure to ETL Processes, Data Engineering and Data Governance
  • Experience in implementing Data Blessing/Data Quality measures and entitlement models
  • Proficiency in programming languages, such as Python, Java, or C++
  • Knowledge of basic statistics, including descriptive statistics, data distribution models, Time Series Analysis, correlation, and regression, and its application to data
  • Strong team player with excellent communication skills (written and oral). Ability to communicate what is relevant and important in a clear and concise manner and ability to handle multiple tasks
  • Strong contributing member of Data Science team and help build analytical capabilities for Internal Audit Division
  • Driven and motivated and constantly taking initiative to improve performance

Preferred Qualifications
  • Experience with advanced data analytics tools and techniques
  • Familiarity with text analytics and NLP using python
  • Familiarity with machine learning algorithms and exposure to supervised and unsupervised learning - Linear/Logistic Regression, SVM, Random Forest and Boosting, Clustering and Patterns Recognition techniques
  • Experience with analytical/ statistical programs such as SAS, SPSS, and R
  • Experience with visualization tools (Tableau, Spotfire or QlikView) is a plus
  • Creativity/Innovation, i.e., ability to create new ways to improve current processes and develop practical solutions that add value to department

What Goldman Sachs employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

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