Goldman Sachs
Goldman Sachs

Analyst – Data Analytics

onsite
Bangalore
Best in Industry Standards
Posted 8/12/2026
Exp: 1-3y

Job Overview

Role: Human Capital Management – Analyst – Data Analytics Location: Bangalore, Karnataka Experience: 1–3 Years Qualification: B.E/B.Tech/B.Sc/BCA/B.Com/BA in a quantitative or related field Key Skills: Data Analytics, Advanced Excel, SQL, Data Visualization, HCM, People Analytics

Job Description

Goldman Sachs is hiring for the position of Human Capital Management – Analyst – Data Analytics in Bangalore. This opportunity is suitable for candidates with 1–3 years of professional experience and a Bachelor's degree in a quantitative or related field. The role is part of the People Analytics function and focuses on using data to support talent decisions, workforce planning, reporting, compensation analysis, headcount management, and resource allocation. Candidates should have strong analytical skills and experience working with datasets. The role specifically mentions advanced Excel, basic SQL, data analysis, visualization, reporting, and dashboard maintenance. The position is based in Bangalore and provides an opportunity to work with senior stakeholders across Human Capital Management and the broader organization.

Roles and Responsibilities

  • Support: Senior team members in delivering data-driven Human Capital Management solutions.
  • Work: With HCM stakeholders to understand analytical and reporting requirements.
  • Analyze: HCM data covering performance ratings, promotions, talent reviews, and compensation.
  • Identify: Trends, patterns, anomalies, and inconsistencies within employee datasets.
  • Clean, organize, validate, and analyze: Large datasets.
  • Develop: Clear visualizations and reports to communicate analytical findings.
  • Prepare: Presentations that support strategic decision-making.
  • Provide: Data and reporting support throughout the employee lifecycle.
  • Support: Analytics related to recruitment, onboarding, and exit processes.
  • Collaborate: With HCM teams and the Executive Office on data-driven initiatives.
  • Work: With the Real Estate team on workforce and capacity-related analysis.
  • Maintain and validate: HCM reporting dashboards and analytical tools.
  • Contribute: To the development and improvement of reporting dashboards.
  • Assist: With headcount tracking and workforce projections.
  • Support: Capacity planning, location strategy, and budgeting analysis.
  • Maintain: High levels of data accuracy and attention to detail.
  • Manage: Multiple analytical tasks while meeting deadlines.
  • Collaborate: Effectively with senior analysts, associates, and cross-functional teams.

Skills and Eligibility Criteria

Educational Background: Bachelor's degree in a quantitative or related discipline. The supplied eligibility lists B.E, B.Tech, B.Sc, BCA, B.Com, and BA.

Experience: 1–3 years of professional experience in data analysis, finance, HR analytics, consulting, or another analytical role.

Mandatory Technical Skills:

  • Strong ability to clean, organize, analyze, and interpret large datasets.
  • Proficiency in advanced Excel, including formulas and pivot tables.
  • Basic SQL or familiarity with other data querying tools.
  • Ability to communicate data findings through clear visualizations and reports.

Competencies:

  • Strong written, verbal, and presentation skills.
  • Familiarity with HRIS systems is an advantage.
  • Interest or exposure to compensation, rewards analytics, executive compensation, or regulatory disclosures is beneficial.
  • Strong attention to detail and ability to manage multiple tasks.
  • Strong interpersonal skills and ability to collaborate within a team.

About the Company

The Goldman Sachs Group, Inc. is a leading global investment banking, securities, and investment management firm that provides a wide range of financial services to a substantial and diversified client base. Joining Goldman Sachs means working with the “Concert” team to develop high-performance distributed trading applications within a service-oriented architecture.