1

Kpmg Data Analytics Jobs in California (NOW HIRING)

KPMG is a leading tax firm seeking a Senior Manager, Tax Technology to join their Business Tax ... Required : • Minimum eight years of recent experience in data analytics, strategy formulation ...

... data analysis and reporting, innovative event concepts, elevation of the attendee experience ... KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship ...

... analysis, data gathering and coordination of KPMG and client resources * Assist with drafting opinion letters, responses to IRS inquiries, IRS ruling requests and writing other technical memoranda ...

... analytics; ensure alignment with KPMG brand standards and tone * Plan and execute high-impact ... data and research into actionable insights; proficiency in Microsoft Office Suite applications ...

next page

Showing results 1-20

Kpmg Data Analytics information

See California salary details

$24

$54

$93

How much do kpmg data analytics jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for kpmg data analytics in California is $54.03, according to ZipRecruiter salary data. Most workers in this role earn between $43.41 and $61.20 per hour, depending on experience, location, and employer.

What is a KPMG Data Analytics professional?

A KPMG Data Analytics professional is an expert who uses data analysis, statistical methods, and technology to help clients make informed business decisions. They work with large data sets to uncover patterns, trends, and insights that drive strategy and improve performance. These professionals often use tools such as Python, R, SQL, and visualization platforms like Power BI or Tableau. At KPMG, data analytics professionals may work in a variety of sectors, including audit, risk, consulting, and advisory services.

What types of projects do KPMG Data Analytics professionals typically work on, and how do they collaborate with other teams?

Data analytics professionals at KPMG are often involved in projects such as risk assessment, fraud detection, process optimization, and financial analysis for clients across various industries. They regularly collaborate with audit, advisory, and tax teams to provide insights that drive business decisions and improve client outcomes. Working in a multidisciplinary environment, data analytics staff engage in tasks like data cleaning, modeling, and visualization, as well as presenting findings to both technical and non-technical stakeholders. This collaborative approach not only enhances project results but also offers valuable opportunities for professional growth and learning.

What are the key skills and qualifications needed to thrive as a KPMG Data Analytics professional, and why are they important?

To thrive as a KPMG Data Analytics professional, you need strong quantitative analysis skills, proficiency in data interpretation, and a relevant degree in fields like statistics, mathematics, computer science, or business analytics. Familiarity with data visualization tools (such as Tableau or Power BI), advanced Excel, programming languages (like Python, R, or SQL), and certifications in analytics or data science are highly valued. Excellent communication, problem-solving abilities, and a collaborative mindset help you explain complex insights and work effectively with clients and internal teams. These skills ensure you can deliver actionable, data-driven solutions that support business decisions and client success.

What is the difference between Kpmg Data Analytics vs Kpmg Data Scientist?

AspectKpmg Data AnalyticsKpmg Data Scientist
Required CredentialsBachelor's in Data Analytics, Business, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's or Master's in Data Science, Computer Science, or related; certifications like Certified Data Scientist
Work EnvironmentConsulting projects, client-facing roles, team collaborationResearch, model development, data exploration, often within teams or R&D
Employer & Industry UsageUsed across consulting firms, finance, healthcare, and tech industriesPrimarily in tech companies, research institutions, and analytics firms

While both roles involve working with data, Kpmg Data Analytics focuses on analyzing data to provide actionable insights for clients, whereas Kpmg Data Scientists develop models and algorithms to extract complex patterns. The roles often overlap but differ mainly in scope and depth of technical expertise.

What are popular job titles related to Kpmg Data Analytics jobs in California?

For Kpmg Data Analytics jobs in California, the most frequently searched job titles are:

What job categories do people searching Kpmg Data Analytics jobs in California look for?

The top searched job categories for Kpmg Data Analytics jobs in California are:

Infographic showing various Kpmg Data Analytics job openings in California as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $112,382 per year, or $54 per hour.

Senior Manager, Tax Data Technology

KPMG US

Irvine, CA • On-site

Full-time

Re-posted 29 days ago


Job description

Job Summary:
KPMG is a leading tax firm seeking a Senior Manager, Tax Technology to join their Business Tax Services practice. The role involves identifying monetization opportunities, developing product strategies, and driving revenue growth through innovative data solutions.
Responsibilities:
• Identify and capitalize on monetization opportunities through in-depth business insights and collaboration with cross-functional teams
• Define a compelling multi-year vision for product development and market focus, leveraging comprehensive product, customer, competitive, and financial research
• Develop and present strategic packaging and pricing recommendations to executive leadership, fostering alignment and buy-in for initiatives; lead discussions with senior stakeholders across various product teams to align on monetization strategies
• Translate insights into actionable recommendations, guiding cross-functional teams to execute effectively with a long-term perspective
• Explore avenues for leveraging proprietary insights through strategic partnerships or subscription models to drive revenue growth and enhance profitability
• Create and implement improved processes to increase efficiency and productivity; develop innovative ideas for better monetizing data sources, focusing on incremental revenue generation and added value
Qualifications:
Required:
• Minimum eight years of recent experience in data analytics, strategy formulation, product strategy, and business development, preferably within a consulting or advisory capacity
• Bachelor's degree from an accredited college/university or equivalent work experience; licensed CPA, JD/LLM or EA, in addition to others on KPMG's approved credential listing; any individual who does not possess at least one of the approved designations/credentials when their employment commences, has one year from their date of hire to obtain at least one of the approved designations/credentials; should you like to see the complete list of currently approved designations/credentials for the hiring practice/service line, your recruiter can provide you with that list
• Proven leadership ability with a track record of inspiring and motivating cross-functional teams toward long-term goals
• Strong analytical mindset with the capability of underpinning decisions with data and translating complex insights into actionable strategies
• Exceptional communication and presentation skills; able to distill complex data into compelling narratives for stakeholders at all levels
• Demonstrated ability to create and implement better processes and efficiencies; creative thinking and problem-solving skills, with a focus on generating new ideas for monetizing data, facilitating business development and Go-To-Market initiatives
Company:
KPMG is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm in the United States. Founded in 2010, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.