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Knowledge Analyst - Mining

McKinsey & Company

McKinsey & Company

IT
Johannesburg, South Africa
Posted on Aug 29, 2024
Consulting

Knowledge Analyst - Mining

Job ID: 91040
  • Johannesburg

Who You'll Work With

You will join our Johannesburg office as part of Africa Client Capabilities Team. You will work closely with the local team of colleagues with whom you will be collaborating daily.
Additionally, you will interact with a wide range of analysts from the Basic Materials Practice across the region and firm. You will also partner with integrative consulting colleagues from client services team directly on client engagements. Your focus will be on providing expertise and insights on mining industry trends and problem solving on unique client challenges.

What You'll Do

You will have the opportunity to work alongside senior knowledge professionals and Integrative Consultants on larger client projects and internal knowledge initiatives. By collecting and analyzing data and information found in databases and/or other primary and secondary research tools, you will assemble a fact base, counsel consultants and clients on the scope of business and trends surrounding the issue, and provide insights and analysis for solving client problems at hand.

In this role, you will perform a wide range of analytics tasks on various basic materials industries and more specifically mining operations, developing perspectives that are relevant to clients.

You will collaborate with our Africa Client Capabilities team as well as the global Basic Materials Insights network to share and build knowledge, best practices, and relevant new ideas.
Your day-to-day tasks may include identifying the key issues facing our clients and determining the most appropriate solution while effectively balancing quality, availability, timeliness, and cost factors. You’ll likely perform a variety of analyses such as benchmarking, trend identification, opportunity scanning, etc., to add value to problem-solving discussions. You’ll also provide synthesis, insights and client implications within tight deadlines via end products in the form of PowerPoint documents, written memos, models in Excel and frameworks. In time, you will also participate in, and eventually lead, internal knowledge development and capability-building initiatives, and use advanced analytics tools to prepare and analyze large datasets to distill insights.
CCN leverages McKinsey’s industry expertise alongside the extensive experience our mining professionals have, along the entire mining value chain, to help companies implement transformations at mine sites around the world. Your work will be multifaceted and exciting, and you will gain insights into many topics. In project work and in exchanges with colleagues, you will deal with new intellectual challenges daily as well as build your mining industry knowledge across the African continent on an ongoing basis.

Qualifications

  • Min. honors degree in engineering (or similar) with master’s degree preferred
  • 2+ years of work experience in mining operations. Research experience in mining advantageous
  • Excellent written and oral communication skills
  • Superior problem-solving, analytical skills and true entrepreneurial spirit
  • Significant understanding of the industry dynamics of the mining sector
  • Passion for analytics and interest in developing new approaches to mining data analysis and application to operational improvement
  • Willing to work in a highly demanding and result-oriented team environment
  • Self-motivation and high service-orientated work ethic
Industries
  • Metals & Mining
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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.

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Job Skill Group - CSS Pre-Associate
Job Skill Code - KA - Knowledge Analyst
Function -
Industry - Metals & Mining
Post to LinkedIn - Yes
Posted to LinkedIn Date - Fri Aug 30 00:00:00 GMT 2024
LinkedIn Posting City - Johannesburg
LinkedIn Posting State/Province -
LinkedIn Posting Country - South Africa
LinkedIn Job Title - Knowledge Analyst - Mining
LinkedIn Function - Consulting
LinkedIn Industry - Mining & Metals
LinkedIn Seniority Level - Not Applicable