Associate or Senior Associate - Data Analytics, R&D Tax Credit (AMCS)

At KPMG, you can become an integral part of a dynamic team at one of the worlds top tax firms. Enjoy a collaborative, future-forward culture that empowers your success. Work with KPMGs extensive network of specialists; enjoy access to our Ignition Centers, where deep industry knowledge merges with cutting-edge technologies to create innovative tax solutions. Join a diverse team helping high-profile clients understand, analyze, and respond to a wide array of business opportunities and challenges. Develop your career through multifaceted engagements, formal training, and informal mentoring. At KPMG, we believe nothing is more important than investing in our culture because it is an investment in our people, our future, and what we stand for as a firm.

KPMG is currently seeking an Associate / Senior Associate - Data Analytics, R&D Tax Credit (AMCS) to join our Accounting Methods and Credit Services practice.

Responsibilities:

• Support the preparation and analysis of large and complex datasets (for example, general ledger, payroll, time tracking, and operational data) in support of R&D tax credit studies
• Clean, transform, and normalize structured and unstructured datasets to ensure accuracy, completeness, and usability for both data analysis and tax credit calculations
• Partner with Research & Development (R&D) tax professionals to translate raw data into structured outputs that support credit calculations, technical documentation, and defensible tax positions
• Build and maintain repeatable data workflows and transformation processes using tools such as Alteryx, SQL, or similar platforms
• Identify data anomalies, trends, and inconsistencies, and assist engagement teams in validating datasets and performing analyses that support R&D credit claims
• Document data processes, methodologies, and outputs to support audit readiness, consistency across engagements, and knowledge transfer
• Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment

Additional Responsibility for Senior Associate:

• Design scalable data solutions and workflow automation, and take a more active role in R&D engagements by independently supporting data-driven analyses, contributing to credit calculations, and improving overall delivery efficiency

Qualifications:

• Minimum one year of recent experience in data analytics, data transformation, or related roles within a public accounting firm, consulting firm, or corporate environment
• Bachelor's degree from an accredited college/university; preferred degrees include data analytics, information systems, computer science, engineering, accounting, or a related field
• Familiarity with data tools and technologies such as Excel (advanced formulas), Alteryx, SQL, Python, AI-enabled tools, and similar platforms to support data analysis, workflow efficiency, and automation
• Experience working with large datasets, including data cleansing, validation, and transformation
• Solid understanding of financial, operational, or transactional data and how it supports business or tax analyses, including R&D tax credit studies
• Strong communication skills and ability to collaborate effectively with technical and non-technical stakeholders

Additional Qualification for Senior Associate:

• Minimum two years of recent, relevant experience with demonstrated ability to build repeatable data workflows, manage multiple datasets or workstreams, and support engagement teams in delivering data-driven and credit-related analyses

KPMG LLP and its 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: California Salary Range: $74195 - $125235 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. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.
Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.