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

• 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 work streams, and support engagement teams in delivering data-driven and credit-related analyses

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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…