Senior Associate Data amp Analytics Consultant

Profile

You'll be an important part of our high-energy, unique, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. In this particular role, you'll work specifically in the AI Analytics & Engineering Community within the Digital Lighthouse, on a wide range of projects. From applied AI to optimization to big data platform engineering, your analytical and technical skills will drive real impact in the business world. At KPMG, our commitment to your career development helps to set us apart as an employer. We want to enhance your potential, both for yourself and as a contributor to our firm. That's why we provide every opportunity to expand your skills, knowledge and experiences through formal education and training programs, leadership development opportunities, and, as well as informal one-on-one coaching and mentoring from your KPMG colleagues.
KPMG is currently seeking a Sr. Associate to join our - Center of Excellence for Advanced Analytics.
Responsibilities:
Bring strong sector- and/or business-process-specific knowledge to bear for D&A strategy, transformation, or solution design engagements; focused on helping clients understand the broader D&A journey and implications, and helping engagement teams understand domain context required for delivering meaningful and effective insights from D&A solutions; Gather client and market information through interviews, surveys, workshops, and market research; realize requirements, styles and preferences for visualizations within sectors of expertise; managers in this role may have some opportunity to assist in the overseeing the design, management, execution, and implementation of complex analytics models.
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 roadmapping with the ability to explain data & analytics concepts to non-technical team members
Proactively broaden and deepen client relationships by working with varying levels of client team members and utilize a hypothesis-driven, problem-solving approach to design and review with clients all aspects of an organization-specific D&A target operating model
Research and communicate sector or process-specific data and D&A solution design requirements, including building such design requirements into targeted visualizations
Apply data & analytics concepts to bueinss 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
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 engagments to successful closure
Qualifications:
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
Bachelor's degree in a technical or quantitative field from an accredited college or university (master's or MBA degree preferred) with knowledge of topics such as statistics, econometrics, machine learning, operations research, decision science, and cloud computing
Demonstrated analytics solution design and build expertise, project management skills, strong business consulting acumen in applying advanced analytics to solve business issues, and knowledge of business operational, process, delivery, and revenue models
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)
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
Organization design, transformation design/execution expertise, workstream management skills, and strong business consulting acumen with ignificant project management, client handling, and executive communication capabilities (e.g., interviews, workshop management, business writing)
Ability to travel when necessary; Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future
KPMG LLP (the U.S. member firm of **MEMBERS ONLY**SIGN UP NOW***.) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-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, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.
At KPMG, any partner or employee must be fully vaccinated or test negative for COVID-19 in order to go to any KPMG office, client site or KPMG event. In some circumstances, individuals who are not fully vaccinated may also be required to have a reasonable accommodation to not be fully vaccinated for COVID-19.
Category
Management Analysts
Education
Bachelor's Degree
Experience
3 to 20 years
Job type
Full time
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