Knowledge Analyst - Mining Operations

McKinsey & Company, Inc.; India; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

McKinsey & Company, Inc. in Gurugram, India, is seeking a mining operations analytics professional to partner with client teams, perform rigorous analyses, and develop benchmark-driven recommendations for operational improvements across mining sites.

You will contribute to MineLens’ capabilities, support data collection and quantitative analyses, and travel internationally for project durations of 4–8 weeks or longer, joining a global MineLens team.

Qualifications

• Bachelor’s degree or post‑graduate degree in Mining Engineering or related discipline.
• 3+ years of professional experience in the mining industry with expertise in mining operations (open‑pit or underground).
• Significant understanding of mining industry dynamics.
• Passion for analytics and interest in developing new approaches to mining data analysis and application to operational improvement.
• Strong problem‑solving and analytical capabilities, with proficiency in tools such as Excel, PowerPoint, relevant mining software, and advanced analytics platforms.
• Experience in applying GenAI tools in current work to enhance analysis or decision‑making is a plus.
• Prior experience anchoring client engagements independently, with the ability to operate in senior client settings and present complex value propositions to executives.
• Willingness to work in a demanding, results-driven team environment, with periodic travel to remote mining locations.
• Open to candidates with international experience who are willing to relocate to India as well.
• Excellent verbal and written communication skills in English; additional language proficiency is a plus.

Responsibilities

• Partner closely with client service teams to solve complex mining operations problems through rigorous analysis and structured insights.
• Support strategic decision-making and operational improvements for clients.
• Contribute to operational excellence diagnostics across mining sites, identifying performance improvement opportunities.
• Assist data collection, conduct quantitative analyses, and synthesize findings with on-ground observations to develop benchmark-driven recommendations.
• Advance MineLens’ analytical capabilities and contribute to innovative mining data analytics approaches, supporting teams and clients remotely and on-site.
• Engage in long-term projects with potential international travel durations of 4 to 8 weeks or longer.
• Strengthen internal knowledge assets and support development of new tools and solutions to expand MineLens impact.
• Join the Client Capabilities Network in Gurugram, India as part of the global MineLens team.

Skills

Mining operations experience

Analytics mindset

Problem solving

Excel

PowerPoint

Mining software

Advanced analytics platforms

GenAI tools

Client engagements

Travel willingness

Relocation to India

English proficiency

Education

Bachelor's or higher in Mining Engineering or related field

Tools

Mining software

Analytics platforms

Job description

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You’ve come to the right place.

YOUR IMPACT

You will partner closely with client service teams to solve complex mining operations problems through rigorous analysis and structured insights. Leveraging your understanding of the mining sector, you will support both strategic decision-making and operational improvements for clients. You will contribute to operational excellence diagnostics across mining sites, helping identify performance improvement opportunities. Your work will include supporting data collection, conducting quantitative analyses, and synthesizing findings with on-ground observations to develop benchmark-driven recommendations. You will also play a key role in advancing MineLens’ analytical capabilities by contributing to innovative approaches in mining data analytics, supporting consulting teams and clients remotely and on-site. You will engage in long-term projects that may require international travel for durations of 4 to 8 weeks or longer. Additionally, you will contribute to strengthening internal knowledge assets and support the development of new tools and solutions that expand the impact and reach of MineLens. You will join our Client Capabilities Network in Gurugram (India) as part of our global MineLens team. MineLens is part of McKinsey’s Global Energy & Materials practice. MineLens provides mining companies with the strategic business intelligence they need to identify, quantify, and prioritize value creation opportunities in their operations. By combining advanced analytics, a comprehensive database of mining performance benchmarks, and global mining expertise, MineLens enables clients to enhance productivity and reduce costs.

YOUR GROWTH

Driving lasting impact and building long‑term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we’ll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you’ll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else. When you join us, you will have:

• Continuous learning:Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast‑paced learning experience, owning your journey.
• A voice that matters:From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
• Global community:With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
• World‑class benefits:On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

YOUR QUALIFICATIONS AND SKILLS

• Bachelor’s degree or post‑graduate degree (e.g., Masters) in Mining Engineering or a related discipline
• 3+ years of professional experience in the mining industry with expertise in mining operations (open‑pit or underground)
• Significant understanding of mining industry dynamics
• Passion for analytics and interest in developing new approaches to mining data analysis and application to operational improvement
• Strong problem‑solving and analytical capabilities, with proficiency in tools such as Excel, PowerPoint, relevant mining software, and advanced analytics platforms
• Experience in applying Generative AI (GenAI) tools in current work to enhance analysis or decision‑making is a plus
• Prior experience anchoring client engagements independently, with the ability to operate in senior client settings and present complex value propositions to executives
• Willingness to work in a demanding, results‑driven team environment, with periodic travel to remote mining locations
• Open to candidates with international experience who are willing to relocate to India as well
• Excellent verbal and written communication skills in English; additional language proficiency is a plus

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.

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.