Analyst - Corporate Business Functions (Backoffice Transformation)

McKinsey & Company
parental leave, paid time off
United States, Massachusetts, Boston
Jan 16, 2025
Consulting Analyst - Corporate Business Functions (Backoffice Transformation) Job ID: 94373 Do you want to work on complex and pressing challenges-the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you've come to the right place. Who You'll Work With You will join Service Operations (Services Ops) service line as part of our Operations practice and will be based in the Boston office. You will be working with a unique blend of industry, functional, and regional expertise to help clients solve their most important and complex problems related to efficiency and effectiveness improvement across the service operations ecosystem. You will work closely with our client teams and help clients across industry verticals such as Banking, Insurance, Healthcare, Telecom, Hi-Tech, Transport & Logistics, Energy etc. on different Service operation domains like corporate business functions (e.g., Human Resources, Finance), customer care, workforce management, field operations, etc. You will support team members on blending strategic thinking, advising on developing and defining operational strategies to help our clients around the world solve their most critical problems in Service Operations space. Your impact within our firm In this role, you will work in teams to solve pressing and complex issues at clients through our existing portfolio of offerings/solutions as well as support the development of new proprietary tools, benchmarking databases and knowledge capabilities. You will work with client representatives, McKinsey consultants and the global Service Ops experts throughout client engagements, focusing on following main aspects: Perform efficiency and effectiveness benchmarking and operations diagnostics for corporate business functions (like Human Resources, Finance), Call Centers using McKinsey's proprietary frameworks, toolkits, and databases Implement digital/technology solutions from McKinsey's portfolio of assets and solutions Define, build, and deploy customized solutions and support development and maintenance of team's proprietary analytical tools/ databases and other knowledge development project Proactively create reusable knowledge and capabilities that capture the insights gained from McKinsey's engagements and changes in business environment You will be supporting on activities ranging from data collection and analyses, client interviews and problem-solving, end deliverable creation and much more. You will drive the process of running the analyses, converting raw client data sources into enriched dashboards to deliver insights related to the business challenges at stake. You will diligently own the solution implementation, data management, analytics and visualization of our client engagements as well as translate insights into impact through pattern recognition, expertise, and client coaching. Your qualifications and skills University degree in business administration, computer science, economics, engineering, operations, or other related analytical discipline Relevant working experience Advanced Excel skills (mandatory) and Power Point skills desirable Excellent written and verbal business communication skills in English including the ability to interact effectively at all levels of a large international organization Superior problem solving and analytical skills Sound business knowledge Willing to work in a highly demanding and result-oriented team environment Able to work with and effectively handle a diverse group of team members Exhibit self-motivation and highly service-orientated work ethic Knowledge of Service Operations domain on topics like General & Administrative functions, customer care, workforce management in areas of process excellence, benchmarking, robotic process automation (RPA) diagnostics, analytics (i.e., AI/ Machine learning) and/ or digital solution implementation is preferred Please review the additional requirements regarding essential job functions of McKinsey colleagues. Apply Now Apply Later FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law. Certain US jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role. For new joiners for this role in the United States, including all office locations where the job may be performed, a reasonable estimated range is $92,000 - $95,000 USD -to help you understand what you can expect. This reflects our best estimate of the lowest to highest [salary/hourly wages] for this role at the time of this posting, ensuring you have a clear picture right from the start, though it's important to remember that actual salaries may vary. Factors like your office location, your unique blend of experience and skills, start date and our current organizational needs all play a part in determining the final figure. Certain roles are also eligible for bonuses, subject to McKinsey's discretion and based on factors such as individual and/or organizational performance. Additionally, we provide a comprehensive benefits package that reflects our commitment to the wellness of our colleagues and their families. This includes medical, mental health, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement contributions program, financial guidance, and paid time off. FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites. Job Skill Group - CSS Pre-Associate Job Skill Code - KA - Knowledge Analyst Function - Operations;Strategy & Corporate Finance Industry - Post to LinkedIn - Yes Posted to LinkedIn Date - Tue Jan 14 00:00:00 GMT 2025 LinkedIn Posting City - Boston LinkedIn Posting State/Province - Maryland LinkedIn Posting Country - United States LinkedIn Job Title - Analyst - Corporate Business Functions (Backoffice Transformation) LinkedIn Function - Analyst;Consulting;Strategy / Planning LinkedIn Industry - Management Consulting;Research LinkedIn Seniority Level - Associate