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 Data
Job Description
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. A major component of the role is transforming raw workforce data into useful reports, visualizations, dashboards, and presentations.
Roles and Responsibilities
- Solution Delivery: Support senior team members in delivering data-driven Human Capital Management solutions.
- Requirement Understanding: 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, 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.
- Quality & Management: Maintain high levels of data accuracy and attention to detail. 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. Eligible degrees: 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 (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).