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Experienced Associate - Global Trade Shared Services - Data Analytics

KPMG

EntryH-1B sponsor company
Sign in to applyVerified 2h ago
Work model
On-Site
Level
Entry
H-1B history
183 approvals (FY2023)

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Tax / Experienced / Associate

Experienced Associate - Global Trade Shared Services - Data Analytics Boston, MA; Charlotte, NC; Dallas, TX; Detroit, MI; Los Angeles, CA; New York, NY; Orlando, FL; Philadelphia, PA; Phoenix, AZ; Salt Lake City, UT; San Diego, CA 135758

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Career Level Requirement

Experienced

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 complex business opportunities and challenges. Develop your career through a range of 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 a Associate, Global Trade Shared Services to join our Trade and Customs practice. Responsibilities: Research and advise clients in a variety of industries on import and export matters Utilize data analytics tools to help solve supply chain problems Develop innovative solutions to help clients conduct their business, encompassing people, processes and technology Work with clients' business, technology and compliance resources on global trade processes and procedures Develop and maintain client and internal relationships Train and mentor interns Qualifications: Minimum one year of recent data analytics work experience preferably in global trade (import/export declarations, free trade agreements, foreign trade zone, and more Bachelor's degree from an accredited college/university or foreign equivalent in business, information systems, management information systems, business analytics or related fields Proficiency in Microsoft Office Suite with advanced skills in Excel Flexibility and ability to think creatively and critically in a rapidly changing, fast-paced environment; strong analytical, problem-solving, and decision-making skills Ability to travel and/or work on-site at client premises as needed, at times with relatively short notice Applicants 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 US work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-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

Experienced Associate - Global Trade Shared Services - Data Analytics at KPMG | Yoinka