Capabilities and Insights Analytics Specialist

$138,400 - $160,800/Yr

Mckinsey & Company, Inc. United States - Summit, NJ

Full-time - Entry Level

Remote - Summit, NJ

Professional, Scientific, and Technical Services

About the position

The Capabilities and Insights Analytics Specialist at McKinsey & Company is responsible for providing advanced analytics capabilities and insights to Client Service Teams (CSTs) and clients. This role involves managing multiple projects, supporting various workstreams in data science, data engineering, and business intelligence, and delivering customized insights tailored to client needs. The specialist will also contribute to knowledge development and operational initiatives within the firm.

Responsibilities

• Serve Client Service Teams (CSTs) and clients by providing advanced analytics capabilities and insights.
• Partner with CSTs to understand client needs and context.
• Handle multiple projects in parallel and manage junior colleagues across client or knowledge/asset development projects.
• Support a broad range of CSTs and clients on targeted workstreams in areas of competency and expertise.
• Independently scope and execute on workstreams.
• Consolidate, analyze, summarize, and synthesize client data and information.
• Conduct complex analyses and model development; share and deploy analytics insights through well-structured output files and dashboards.
• Deliver customized insights and recommendations by tailoring outputs to client business needs and context.
• Contribute to the knowledge, tech-enablement, and/or operational agenda beyond client work.
• Create reusable knowledge products such as case studies and playbooks.
• Coach junior colleagues in workflow management responsibilities.

Requirements

• Master's degree in Business Analytics, Data Science, or related field, or foreign degree equivalent.
• Academic training or experience using data science, data engineering, or data visualization techniques.
• Proficiency in Python or R.
• Experience processing large-scale data in SQL.
• Experience in data mining and building predictive or explanatory machine learning models using standard libraries.
• Knowledge of statistical hypothesis testing.
• Experience using one of the following cloud-computing platforms: Databricks, AWS, Azure, or GCP.
• Experience building interactive dashboards for visualization.
• Ability to create Microsoft PowerPoint presentations.

Benefits

• Telecommuting permitted.