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Marsh McLennan

Analyst – Leadership & Change Analytics (LCA)

Posted Yesterday
In-Office
Highland, Boston, MA
80K-85K Annually
Entry level
In-Office
Highland, Boston, MA
80K-85K Annually
Entry level
The Analyst will conduct quantitative analysis and develop models for clients, requiring strong technical skills and teamwork. Candidates should possess a quantitative background and have proficiency in data analytics tools.
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Company:Oliver Wyman

Description:

Job specification

Job title: Analyst – Leadership & Change Analytics (LCA)

Department: Oliver Wyman Mergers & Acquisitions

Office/region: Boston, MA

Eligibility: Permanent US work authorization

About Oliver Wyman

Oliver Wyman is a global leader in management consulting. With offices in 60 cities across 29 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation. The firm has more than 5,000 professionals around the world who work with clients to optimize their business, improve their operations and risk profile, and accelerate their organizational performance to seize the most attractive opportunities.  Oliver Wyman is a wholly owned subsidiary of Marsh & McLennan Companies [NYSE: MMC]. For more information, visit www.oliverwyman.com

Team overview:

Oliver Wyman’s Leadership and Change Analytics unit is an innovative, fast-growing team of data scientists and organizational change specialists. Organized as part of our cross-industry Mergers and Acquisitions (M&A) practice, we bring sophisticated expertise in behavioral science and people analytics capabilities to bear on business-critical problems for our clients that span industries.

Clients hire us for our depth of insight and expertise; expertise that comes from a combination of specialized domain knowledge in organizational behavior and deep data science and engineering capabilities. We combine analytical rigor and rapid innovation with a relentless focus on client impact. We are passionate about developing our people and support your career progression, including a path to partner. We are looking for candidates who are excited to work in a collaborative, entrepreneurial, and learning-oriented environment, focused on delivering impact through analytics.

The role:

Working with us offers excellent career and growth opportunities for highly motivated early career and college graduates from quantitative disciplines with some exposure to data engineering, business analytics, and/or quantitative social science.

This role offers a mix of research and asset innovation as well as client-facing, project-based analytics. Some travel to client sites is to be expected as part of building client relationships and setting projects on a solid foundation, but most of our work can be conducted from Boston. We will make flexible working hours and market leading work life balance a priority considering your individual needs, however, we require all employees to work in person with their colleagues for a part of each week.

The ideal candidates will possess strong technical skills, capability to work in teams, a strong learning orientation, the ability deliver work efficiently and under high quality standards and have an open and flexible mindset. Must be based in Boston, MA.

Responsibilities will include:

  • You will work as part of our small, fast-growing team, in coordination with other Oliver Wyman teams and clients across the globe

  • You will work with large and complex datasets producing customized analyses and advanced models using statistical techniques for the client’s needs

  • You will be given ownership of the model and application development or validation from start to finish with guidance from experienced managers

  • You will work on summarizing, presenting and documenting the performed analyses and features of the developed solutions in client-ready formats

Required skills and experience:

  • A Bachelor’s or Master’s degree in a quantitative discipline, e.g. Business Analytics, Data Engineering, Data Science, Computer Science or Engineering, Mathematics, or Statistics

  • Strong engineering, analytics, problem solving, and communication skills

  • Experience in advanced analytics and data manipulation – e.g. R, SQL, Python preferred

  • Experience to work effectively and collaboratively in a team, while being sufficiently self-directed to meet deadlines and produce high-quality output when working independently

  • Be able to find innovative, practical and creative solutions to organizational and business issues

  • Excellent command of English language (verbal and written)

Compensation: $80,000 annually

Master’s student: $85,000 annually

Oliver Wyman, a business of Marsh McLennan (NYSE: MMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X.Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting [email protected].

Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

Top Skills

Python
R
SQL

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