🏢 Company Overview:
S&P Global is a globally recognized leader in financial information, analytics, and market intelligence. We provide essential data-driven insights that help governments, businesses, and investors make informed decisions. At S&P Global, we value innovation, analytical thinking, and integrity. Our goal is to empower individuals and organizations with accurate and actionable data insights.
💼 Job Details:
- Employment type: Part Time
- Experience: 3+ Years
- Salary: ₹35,000 – ₹40,000 monthly
- Location: Remote
- Work timing: 9:15 AM to 6:15 PM
- Working Days: 5 Days
- Education: Any Degree
📝 Job Description:
S&P Global is seeking detail-oriented and analytical individuals for the role of Part-Time Data Analyst. The ideal candidate will be responsible for collecting, analyzing, and interpreting large datasets to support business decisions and research. This role is perfect for candidates who possess strong data interpretation skills and have a passion for analytics and problem-solving.
🔑 Key Responsibilities:
- Collect, clean, and organize data from multiple sources
- Analyze datasets to identify trends, patterns, and insights
- Prepare data reports and visualizations for internal teams
- Ensure data accuracy, completeness, and consistency
- Collaborate with senior analysts and business teams on projects
- Present findings and recommendations in a clear and concise manner
🛠️ Required Skills & Qualifications:
- Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field
- Strong knowledge of Excel, SQL, and basic data visualization tools (e.g., Power BI, Tableau)
- Analytical mindset with attention to detail and accuracy
- Ability to interpret data and communicate results effectively
- Good problem-solving and organizational skills
- Prior internship or academic project experience in data analysis preferred
🌟 Benefits:
- Flexible part-time work schedule
- Opportunity to gain experience with a global organization
- Work with advanced analytics tools and data systems
- Collaborative and knowledge-sharing work environment
- Professional growth and skill-building opportunities
