Job Overview
Role: Human Capital Management – Analyst – Data Analytics Location: Bangalore, Karnataka Experience: 1–3 Years Qualification: Bachelor's degree in a quantitative or related discipline (B.E, B.Tech, B.Sc, BCA, B.Com, and BA)
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. 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.
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:
- Data Analysis: Strong ability to clean, organize, analyze, and interpret large datasets.
- Excel: Proficiency in advanced Excel, including formulas and pivot tables.
- SQL: Basic SQL or familiarity with other data querying tools.
- Visualization: Ability to communicate data findings through clear visualizations and reports.
Competencies:
- Communication: Strong written, verbal, and presentation skills.
- HR Analytics: Familiarity with HRIS systems is an advantage.
- HCM: Interest or exposure to compensation, rewards analytics, executive compensation, or regulatory disclosures is beneficial.
- Organization: Strong attention to detail and ability to manage multiple tasks.
- Teamwork: Strong interpersonal skills and ability to collaborate within a team.