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 Analysis, Advanced Excel, SQL, Data Visualization, Reporting, HCM Data, Workforce Planning, Compensation Analysis, Stakeholder Management
Job Description
The Human Capital Management – Analyst – Data Analytics will work within Goldman Sachs' People Analytics function in Bangalore to support data-driven workforce and talent decisions. The analyst will work with complex HCM datasets, helping senior team members identify trends, patterns, anomalies, and actionable insights. This role combines data analysis with business communication, requiring candidates to not only analyze data but also explain findings to stakeholders across Human Capital Management and the Executive Office, transforming raw workforce data into useful reports and visualizations.
Roles and Responsibilities
- Data-Driven Solutions: 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.
- Reporting & Presentation: 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, including recruitment, onboarding, and 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 Maintenance: Maintain and validate HCM reporting dashboards and analytical tools; contribute to the development and improvement of reporting dashboards.
- Planning & Tracking: Assist with headcount tracking and workforce projections; support capacity planning, location strategy, and budgeting analysis.
- Data Quality: Maintain high levels of data accuracy and attention to detail.
- Task Management: Manage multiple analytical tasks while meeting deadlines.
- Team Collaboration: 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:
- Strong ability to clean, organize, analyze, and interpret large datasets (Data Analysis).
- 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 (Visualization).
Competencies:
- Strong written, verbal, and presentation skills (Communication).
- Familiarity with HRIS systems is an advantage (HR Analytics).
- Interest or exposure to compensation, rewards analytics, executive compensation, or regulatory disclosures is beneficial (HCM).
- Strong attention to detail and ability to manage multiple tasks (Organization).
- Strong interpersonal skills and ability to collaborate within a team (Teamwork).