Data Science Analyst, Capabilities & Insights Analytics - Periscope Job in Mckinsey & Company

Your Impact

As a Data Science Analyst at McKinsey, you will collaborate closely with the Insights & Analytics (IA) group and consulting teams to solve analytically complex client problems in the marketing domain. You will apply advanced analytical and modeling techniques, drawing insights through statistical techniques and predictive modeling to guide marketing efforts.

Your primary responsibility will be client service, with an additional focus on knowledge development within the team. Key activities will include:

• Performing statistical analysis and modeling to support marketing-related client engagements.
• Developing and refining statistical models aimed at optimizing pricing strategies and promotional activities.
• Providing guidance to teams on analytics projects, particularly on technique and modeling-related issues.
• Supporting the development and maintenance of McKinsey s proprietary marketing techniques and contributing to other knowledge development initiatives.
• Coaching and mentoring new hires by sharing your business, technical, and functional expertise.
• Delivering high-quality, client-ready end products on time, with attention to detail and performing quality checks as required.

Your Growth

You will be a key part of McKinsey s Growth, Marketing & Sales (GM&S) team, based in either Gurgaon or Bengaluru, primarily supporting the Insights & Analytics (IA) group of GM&S. This team leverages McKinsey's decades of experience in marketing and sales to help leading companies improve pricing, promotions, assortments, and performance management.

The GM&S Solutions team blends cutting-edge software, tailored services, and deep expertise to provide clients with a comprehensive view of their commercial and financial performance. By integrating various data sources into a central data warehouse, the team enables clients to make informed decisions using advanced analytics.

McKinsey Solutions fosters innovation in areas such as design thinking, mobile, and social, helping to reshape the consulting model toward asset-based solutions. This is a growing area within McKinsey, with a vibrant ecosystem of alliances, strategic acquisitions, and the development of new products and services that redefine how McKinsey works with clients.

As part of McKinsey Solutions, you ll be part of a team of more than 1,000 dedicated professionals, including over 800 analysts and data scientists, working on impactful, innovative solutions.

Your Qualifications and Skills

• Mandatory: Master s degree in Statistics, Economics, Econometrics, Computer Science, Engineering, Mathematics, or an MBA with a strong quantitative background.
• 2+ years of relevant work experience in analytics, business intelligence, or advanced analytics with an analytics firm.
• Proficiency in statistical programming software such as Python, and comfortable working with large datasets. Familiarity with R and SQL is also preferred.
• Experience in handling large volumes of data, including data manipulation, data cleansing, and data matching using tools like R, SQL, and Excel VBA.
• Strong analytical and problem-solving skills, with the ability to break down complex issues, identify root causes, and recommend actionable solutions.
• Knowledge of forecasting, regression analysis, and segmentation methodologies.
• Experience with modeling techniques, including logistic regression, linear regression, cluster analysis, CHAID, and similar approaches.
• Industry experience in consumer goods, telecom, or retail is a plus.
• Ability to thrive in a dynamic and evolving environment where priorities change frequently, and methodologies are often challenged.
• Capacity to work efficiently under pressure and meet tight deadlines.