Capital Analytics Estimator

McKinsey & Company
parental leave, paid time off
United States, Texas, Houston
Jan 02, 2025
Consulting Capital Analytics Estimator Job ID: 92915 Are you driven by the opportunity to tackle complex challenges and work alongside top leaders? Do you want to be part of a team that delivers outcomes that others simply can't? If so, you've come to the right place. Who You'll Work With You will be based in Houston as part of our Capital Analytics Client Capabilities Network which is part of our broader Capital Excellence Service Line. Capital Analytics provides distinctive analysis, insights, and support to major capital projects across sectors. We offer services including estimate and schedule validation, benchmarking, diligence, and readiness reviews. Our dedicated analysts apply proprietary tools and methodologies and a data-driven approach. Our aim is to embed deep capital analytics into all our engagements and help cement Capital Excellence service across industries. Your impact within our firm You will work in teams as an analyst practitioner to solve pressing and complex issues at clients through deploying analytical tools, as well as support the development of new proprietary tools, benchmarking databases and market perspectives. In this role, you will often work in teams of typically 3-5 consultants, playing an active role in client engagements. This includes gathering and analyzing information, formulating and testing hypotheses and developing communication and recommendations. You'll also present results to client management and implement recommendations in collaboration with client team members. You'll focus on building and scaling analytical solutions used for engagement across portfolio optimization, project development and value improvement, project execution, cost and schedule diagnostic. You will prepare detailed cost estimates and budget forecasts for large-scale capital projects using advanced software tools and internal proprietary databases. You will contribute to McKinsey's industry knowledge by staying up to date with the latest in the capital projects industry and you will contribute to proprietary models and analyses. This includes gathering the information necessary to develop these tools and synthesize your findings into McKinsey formatted products. These products may be in the form of complex models and summary reports which evolve into standalone presentations that outline key findings and recommendations to internal and external audiences. You will have the opportunity to gain new skills and build on the strengths you bring to the firm. You will receive exceptional training as well as frequent coaching and mentoring from colleagues on your teams. Your qualifications and skills Bachelor's or advanced degree in engineering or construction science 1+ years of experience using ACCE and bottom-up cost estimating for large capital projects 1+ years of experience on major capital projects for either an owner or contractor, ideally in a project management or project controls role Background in consulting, strategy and/or research is a plus Modeling capability using Excel and experience managing large datasets with databases Distinctive analytical and quantitative skills Proven record of leadership in a work setting and/or through extracurricular activities Ability to work collaboratively in a team environment Ability to communicate complex ideas effectively - both verbally and in writing Experience with AspenTech estimator tool is a plus Please review the additional requirements regarding essential job functions of McKinsey colleagues. Apply Now Apply Later 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. Certain US jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role. For new joiners for this role in the United States, including all office locations where the job may be performed, a reasonable estimated range is $110,000 - $110,000 USD -to help you understand what you can expect. This reflects our best estimate of the lowest to highest [salary/hourly wages] for this role at the time of this posting, ensuring you have a clear picture right from the start, though it's important to remember that actual salaries may vary. Factors like your office location, your unique blend of experience and skills, start date and our current organizational needs all play a part in determining the final figure. Certain roles are also eligible for bonuses, subject to McKinsey's discretion and based on factors such as individual and/or organizational performance. Additionally, we provide a comprehensive benefits package that reflects our commitment to the wellness of our colleagues and their families. This includes medical, mental health, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement contributions program, financial guidance, and paid time off. 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. Job Skill Group - N/A Job Skill Code - SCIA - Senior Capabilities and Insights Analyst Function - Operations Industry - Capital Projects & Infrastructure;Industrials & Electronics;Infrastructure Post to LinkedIn - Yes Posted to LinkedIn Date - Thu Dec 05 00:00:00 GMT 2024 LinkedIn Posting City - Houston LinkedIn Posting State/Province - Texas LinkedIn Posting Country - United States LinkedIn Job Title - Capital Analytics Estimator LinkedIn Function - Analyst;Consulting;Engineering LinkedIn Industry - Civil Engineering;Construction;Management Consulting LinkedIn Seniority Level - Not Applicable