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Data Analytics Analyst

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Deadline: 01/09/2026

Skills for this role

Skills we detected for this role.

  • SQL
  • Data Analysis
  • Excel
  • Statistics
  • Data Visualization
  • Python

Opportunity brief

Goldman Sachs is hiring for the role of Data Analytics Analyst!

Responsibilities of the Candidate:

  • Stakeholder Support: Assist senior team members in partnering with stakeholders (Regional HCM Heads, Divisional Heads, Chiefs of Staff, Executive Office) to deliver data-driven solutions.
  • Data Analysis: Support in-depth analysis of HCM data across talent processes (performance ratings, promotions, talent reviews, compensation) to identify trends, patterns, and data anomalies.
  • Reporting & Visualization: Help develop clear visualizations, reports, and presentations to communicate insights and support strategic decision-making.
  • Lifecycle Support: Provide data and reporting support at various stages of the employee lifecycle, from recruitment and onboarding to exit interviews.
  • Cross-Functional Collaboration: Collaborate with HCM teams, the Executive Office, and the Real Estate team to maintain data-driven tools that optimize talent outcomes, capacity planning, and resource allocation.
  • Dashboard Maintenance: Contribute to the daily maintenance, data validation, and development of HCM reporting dashboards and tools.
  • Headcount Tracking: Assist in coordinating headcount data and projections for capacity planning, location strategy, and budgeting purposes.

Requirements:

  • Education & Experience: 1–3 years of professional experience in an analytical role (e.g., data analysis, finance, HR analytics, or consulting). A Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Finance, or Computer Science) is required.
  • Analytical Mindset: Strong analytical mindset with a proven ability to clean, organize, and analyze large datasets.
  • Communication: Good communication and presentation skills, with the ability to explain data findings clearly.
  • Technical Skills: Proficiency in data analysis tools, particularly advanced Excel (e.g., formulas, pivot tables) and basic SQL or other data querying tools.
  • Systems Knowledge: Experience working with datasets and familiarity with HRIS systems is a plus.
  • Domain Interest: Interest or basic exposure to compensation and reward analytics, executive compensation, or regulatory disclosures.
  • Project Support: Strong organizational skills and attention to detail, with the ability to manage multiple tasks and meet deadlines effectively.
  • Teamwork: Excellent interpersonal skills and the ability to collaborate effectively within a team environment.

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