Associate, Audit Data Engineering Services | Multiple Locations Summer/Fall 2027

Responsibilities

: Data acquisition, movement, transformation and analysis to enable high-quality audit outcomes; apply strong critical thinking skills to interpret data, assess risks and generate meaningful insights, while leveraging learned industry and client specific expertise to deliver exceptional client value Utilize a broad range of technologies and data capabilities, including Alteryx, SQL, Python, Azure Data Factory, Databricks, Azure Data Lake Storage, Power BI and more to support scalable, repeatable and insightful audit solutions Communicate with audit engagement teams the technical implications of D&A capabilities, including data acquisition, data processing and the delivery of analytic results for use in the audit Work with audit engagement teams to identify the scope of D&A capabilities intended to be used, review analytic results for consistency, understand the insights gained and the impact of using the capabilities to plan and execute the audit Collaborate with client technology teams to understand the technical landscape and configuration of their ERP environment(s) and discuss the technical implications of data acquisition and further analysis needed; learn to prepare clear, well-structured, organized and effective audit documentation surrounding data cleansing, formatting, transformation and validation, including accurately capturing and tracking status of data processing and delivery throughout the D&A lifecycle Support the execution of a high-quality technology and data enabled audit as part of a high-performance, detail-oriented culture and professional client and engagement team interactions

Qualifications

: Must be pursuing and have obtained by the start date or have completed the following degrees/majors in the past 12 months: Bachelors or Masters degree from an accredited college/university in Information Systems, Data Engineering, Data Analytics, Computer Science or other IT-related degree; or a minor in Information Systems with a major in Accounting, Finance, Statistics or Mathematics Preferred GPA of 3.0 or above Experience in Microsoft SQL Server technology, MSBI suite (including SQL stored procedures and data modeling) or cloud technologies (Azure suite, Databricks pipelines in Python) for financial analysis, business intelligence, data science, automation and visualization is preferred; aptitude to quickly learn various technologies (MS Office, ERP systems, KPMG Audit tools, client applications, Azure cloud technologies) and understanding of data engineering concepts, Alteryx, Power BI and Data Factory is preferred Strong in technical, business acumen, critical thinking and agility skills; demonstrated ability to excel and drive strategic outcomes, coupled with a professional demeanor and a collaborative leadership approach, in a dynamic, evolving environment Strong communication, organization and relationship-building skills, with the ability to apply professional judgment and skepticism, manage priorities across multiple tasks and deliver high-quality work in a professional services capacity Applicant must reside within a reasonably commutable distance to the office for this position; work location may be in the office or at client sites, some of which may require travel and overnight/extended stay (varies by office); Audit Data Engineering professionals may have the opportunity to work virtually/remotely in the U.S. depending on business needs Applicant must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa) KPMG LLP and its affiliates and subsidiaries (“KPMG”) complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at

Benefits

& How We Work . Follow this link to obtain salary ranges by city outside of CA: https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=UTAADEA_9_24 KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis.