Job Overview
Role: Human Capital Management – Analyst – Data Analytics Location: Bangalore Experience: 1-3 Years Qualification: Bachelor's degree in a quantitative or related discipline (B.E/B.Tech/B.Sc/BCA/B.Com/BA) Key Skills: Data Analytics, Advanced Excel, SQL, Data Visualization, HCM
Job Description
Goldman Sachs is hiring for the position of Human Capital Management – Analyst – Data Analytics in Bangalore . This Goldman Sachs Recruitment 2026 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 Human Capital Management – Analyst – Data Analytics will work within Goldman Sachs' People Analytics function to support data-driven workforce and talent decisions. The analyst will work with complex HCM datasets and help senior team members identify trends, patterns, anomalies, and actionable insights . The role combines data analysis with business communication, meaning candidates must be able to not only analyze data but also explain what the findings mean to stakeholders. The position involves supporting senior stakeholders such as Regional HCM Heads, Divisional Heads, Chiefs of Staff, and the Executive Office .
Roles and Responsibilities
- Solution Delivery: Support senior team members in delivering data-driven Human Capital Management solutions.
- Requirements Gathering: Work with HCM stakeholders to understand analytical and reporting requirements.
- Data Analysis: 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.
- Visualization & Reporting: Develop clear visualizations and reports to communicate analytical findings. Prepare presentations that support strategic decision-making.
- Lifecycle Support: Provide data and reporting support throughout the employee lifecycle (recruitment, onboarding, exit processes).
- Collaboration: Collaborate with HCM teams and the Executive Office on data-driven initiatives. Work with the Real Estate team on workforce and capacity-related analysis.
- Dashboard Management: Maintain and validate HCM reporting dashboards and analytical tools. Contribute to the development and improvement of reporting dashboards.
- Workforce Planning: Assist with headcount tracking and workforce projections. Support capacity planning, location strategy, and budgeting analysis.
- Data Accuracy: Maintain high levels of data accuracy and attention to detail.
- Task Management: Manage multiple analytical tasks while meeting deadlines.
- Teamwork: 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 (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:
- Advanced Excel (formulas, pivot tables)
- Basic SQL or other data querying tools
- Data visualization and reporting
Competencies:
- Strong ability to clean, organize, analyze, and interpret large datasets (Data Analysis)
- Strong written, verbal, and presentation skills (Communication)
- Familiarity with HRIS systems (HR Analytics - Advantage)
- Interest or exposure to compensation, rewards analytics, executive compensation, or regulatory disclosures (HCM - Beneficial)
- Strong attention to detail and ability to manage multiple tasks (Organization)
- Strong interpersonal skills and ability to collaborate within a team (Teamwork)