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Research Science Analyst - GCI Analytics

McKinsey & Company

McKinsey & Company

IT, Data Science
San Jose, CA, USA
Posted on Monday, August 26, 2024
Consulting

Research Science Analyst – GCI Analytics

Job ID: 88548
  • San Jose

Who You'll Work With

You’ll work with our GCI Analytics team in Costa Rica.
GCI is a small, entrepreneurial, and growing team that provides deep analytics, research, and benchmarking services to clients in corporate banking and the payments industry https://www.mckinsey.com/industries/financial-services/how-we-help-clients/gci-analytics/overview
Clients leverage our expertise and data-driven insights to evaluate business line performance, to make strategic and operational improvements, and generate product development decisions. With the look and feel of a start-up, we are a wholly owned subsidiary of McKinsey and Company, and
operate both within McKinsey teams and independently under our own brand and management team.

What You'll Do

You will work with our Benchmarking team focusing on building and maintaining our products using your analytical, research, and problem-solving skills.
You will work with one of the largest and premier commercial banking datasets in the market to help over 30 financial institutions understand and improve their revenue performance. You will serve clients as an analyst on our multi-client benchmarking studies. As you grow in your journey at GCI, you will develop one of the most sought-after and business critical skillsets, product management and development.
You will be assigned to several banking relationships, and will learn about your client’s business, be able to track it over time, and create value by gauging client performance and uncovering improvement opportunities. You will build relationships with junior clients and will present findings to senior commercial banking audiences as the span of your impact grows.
As your tenure on the team builds, you will develop new data assets, and capabilities from the benchmark on which you serve. You will also get the opportunity to lead junior colleagues. You will develop product management skills that allow you to manage aspects of the benchmarking products with a possibility of managing entire products in the future.

Qualifications

  • Undergraduate university degree
  • Capability to drive an independent workstream in the context of a broader team project
  • Ability to break down and solve problems through quantitative thinking and analysis
  • High degree of independence, resourcefulness, and creativity in problem-solving and data analysis
  • Able to manage multiple projects and delivery schedules under tight timelines
  • Strong multi-tasking abilities, flexibility, and patience in a fluid environment
  • Professional attitude and service orientation; team player
  • Proficient in Microsoft Excel, Microsoft PowerPoint, Power Query, SQL, and Knime
  • Experience with a coding language, data visualization tools (e.g., Tableau), and statistics is a plus
  • Excellent verbal and written skills in English and Spanish


Capabilities
  • Technology
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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 - N/A
Job Skill Code - RSSA - Research Science Analyst
Function - Technology
Industry -
Post to LinkedIn - Yes
Posted to LinkedIn Date - Mon Aug 19 00:00:00 GMT 2024
LinkedIn Posting City - San Jose
LinkedIn Posting State/Province -
LinkedIn Posting Country - Costa Rica
LinkedIn Job Title - Research Science Analyst – GCI Analytics
LinkedIn Function - Consulting;Finance
LinkedIn Industry - Banking
LinkedIn Seniority Level - Mid-Senior level