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Sector- and/or process-specific experience in D&A strategy and transformation, as well as exposure to design and implementation needs with a good understanding of general landscape for data science and big data opportunities; deeper understanding of sector- and/or process-specific landscape for opportunities.
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Bachelors degree in a technical or quantitative field from an accredited college or university (masters or MBA degree preferred) with knowledge of topics such as statistics, econometrics, machine learning, operations research, decision science, and cloud computing.
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Apply data & analytics concepts to business problems with an understanding of how applying these concepts can provide business value; design, host and debrief a variety of information gathering exercises as part of D&A strategy and transformation readiness evaluations; for example, collaborative workshops and ideation sessions, 1:1 leadership interviews, survey design and execution and external market research.
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Assess, capture and translate complex business needs and existing organization D&A maturity levels into a structured strategy for D&A capability development, including role and process design, analytics use case ideation and technology road mapping with the ability to explain data & analytics concepts to non-technical team members.
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A minimum of five years of data analytics experience with a professional services firm, an internal strategy/analytics group, or similar environment with previous experience in strategy and/or analytics consulting highly regarded.
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Research and communicate sector or process-specific data and D&A solution design requirements, including building such design requirements into targeted visualizations. Follow this link to obtain salary ranges by city outside of CA: LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package.
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KPMG is currently seeking a Manager in Technology Enablement for our Consulting practice. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year.
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A minimum of three years of data analytics experience with a professional services firm, an internal strategy/analytics group, or similar environment with previous experience in strategy and/or analytics consulting highly regarded.
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Support project leaders in tracking and communicating project risks, budget, rates and launch/closeout activities; including the administration of work papers and collaboration sites (shared with D&A Modelers and D&A Engineers); manage/mentor KPMG resources to drive engagements to successful closure.
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KPMG does not currently require partners or employees to be fully vaccinated or test negative for COVID-19 in order to go to KPMG offices, client sites or KPMG events, except when mandated by federal, state or local law.
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KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. KPMG complies with all local/state regulations regarding displaying salary ranges. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at ' Benefits & How We Work.
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KPMG is currently seeking a Sr. Associate in Technology Enablement for our Consulting practice. KPMG is an affirmative action-equal opportunity employer. KPMG recruits on a rolling basis.
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By blending technology with our industry expertise, we're able to harness the potential of Cloud, AI, ML, IoT, 5G, and quantum computing to design and implement real-world solutions for a variety of business problems.
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Spark your curiosity and ignite your career at The Lighthouse. Organization design, transformation design/execution expertise, workstream management skills, and strong business consulting acumen with significant project management, client handling, and executive communication capabilities (e.g., interviews, workshop management, business writing.
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We are The Lighthouse within KPMG's Consulting practice. Demonstrated ability to manage engagements and interface with senior level management internally as well as with clients and significant project management, client handling, and executive communication capabilities (e.g., interviews, workshop management, business writing.
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data science jobs Title: consultant Company: Kpmg
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