S&P Global, a renowned market intelligence company is recruiting freshers as a data analyst professionals in their company. Read this article to explore everything regarding this recruitment including: job description, eligibility criteria, how can you apply, about the company, roles and responsibilities, and much more.
Let us begin with the article further and explore everything in detail.
About The Company
S&P Global provides valuable information that helps governments, businesses, and individuals make confident decisions. They offer the right data, expert knowledge, and advanced technology to support decision-making.
Whether it is about helping customers to evaluate new investments or guiding them through energy and sustainability changes in supply chains, we create new opportunities. Our goal is to solve problems and drive progress in various industries. By offering the tools and insights needed, we make it easier for our clients to overcome challenges and achieve success, contributing to positive change and growth worldwide.
Job Position Name- Software Data Analyst
Required Skills for Data Analyst Role At S&P Global
To apply for the role of data analyst at S&P Global. You should have a variety of skills and knowledge. The candidate should have good skills in programming, especially in Python or R.
Some of the other main skills and requirements are written below for your reference:
- Basic understanding of Python and SQL languages.
- Familiar with databases like SQL Server or Snowflake.
- Knowledge of tools for reporting and data visualization, such as PowerBI and Tableau.
- Understanding of ETL processes and tools like Alteryx.
- Good at solving problems and paying attention to small details.
- Able to work well within an agile team.
- Eager to learn new technologies and improve skills.
- Strong skills in math and numbers.
- Good at analyzing data and clearly communicating ideas.
Job Description Of Data Analyst
The Data Analyst role at S&P Global primarily focuses on supporting data-driven decision-making by managing large datasets and ensuring the integrity and quality of the data used in analysis. Here are the key responsibilities and qualifications for the position:
Key Responsibilities
Data Management: Ingest and manage third-party data, ensuring data quality and accuracy across the data pipeline.
Data Analysis: Extract, transform, and analyze data using tools like SQL, Python, and Excel to support various business processes.
Problem-Solving: Troubleshoot data issues, resolve data-related customer support tickets, and escalate issues when necessary.
Collaboration: Work with internal teams (vendors, product, engineering, and commercial teams) to resolve data flow and quality issues.
Data Reporting: Provide insights from data analysis to assist in decision-making and business development.
Required Qualifications
- 0 – 2 years of experience in data analysis or a related field, preferably with exposure to the automotive or finance industries.
- Graduation in Btech or a related field.
- Certifications related to data analytics.
- Proficiency in SQL and Excel (including functions like VLOOKUP, pivot tables).
- Strong communication skills to collaborate with both technical and non-technical stakeholders.
- Analytical and problem-solving mindset, with the ability to handle multiple projects and deadlines.
Compensation & Benefits:
- Base salary as a software data analyst with 0 years of experience can range from ₹56,000 to ₹70,000 depending on experience and location.
- Additional benefits include health coverage, flexible working hours, paid leaves, continuous learning opportunities, and family-friendly perks
This role is ideal for candidates with a mix of technical expertise and the ability to work independently on data-driven projects while maintaining a collaborative approach within the team.
How To Apply For The Data Analyst Role At S&P Global
Here’s how to apply for the Data Analyst role at S&P Global in a detailed step-by-step process:
1. Visit the Official Job Portal
Go to the S&P Global careers page or any reputable job listing websites such as LinkedIn or Glassdoor. After opening the career page of S&P Global, Use the search functionality to locate the specific Data Analyst job listing by entering relevant keywords such as “Data Analyst” and selecting your preferred location.
2. Review the Job Description
Read through the job description carefully to ensure you meet the required qualifications and responsibilities. Make sure you understand the role, responsibilities, required skills (e.g., SQL, Python, Excel), and other relevant experience like data analysis, customer support, or working in specific industries such as automotive or finance.
3. Prepare Your Application Documents
Resume: To increase your chance of being shortlisted, Tailor your resume to highlight relevant experience in data analysis, tools you have worked with, and any related skills such as problem-solving or communication.
Cover Letter: Write a cover letter addressing why you are a good fit for this specific role at S&P Global. Mention your experience with data analysis, your familiarity with handling large datasets, and your ability to troubleshoot data issues. Highlight your understanding of their industry focus.
Portfolio: If applicable, prepare a portfolio showcasing your past projects related to data analysis, showcasing examples of how you have extracted, cleaned, and analyzed data.
4. Submit Your Application
Once your documents are ready, click on the “Apply Now” button on the job listing. You will be required to create an account on the S&P Global career platform or log in if you already have one. After logging in, Follow the on-screen instructions to upload your resume, cover letter, and other required documents.
5. Complete the Application Form
Fill in all required fields such as contact details, educational background, and work experience. Make sure the information matches what is on your resume for consistency.
6. Follow-Up Communication
After submitting your application, you should receive an email confirmation. If you don’t receive one, check your email’s spam or junk folder. Keep an eye on your email for further communication regarding interviews or next steps.
7. Prepare for the Interview
If you are shortlisted, prepare for the interview by brushing up on relevant data analysis concepts and tools such as SQL, Excel, and Python. Review S&P Global’s industry focus, such as their work with commodities, financial markets, or automotive data, to show you understand the company’s goals and operations.
By following these steps, you will be well-positioned to apply for the Data Analyst role at S&P Global. Make sure you also familiarize yourself with the company’s values and culture to better tailor your application.
Prepare For Data Analyst Recruitment With PW Skills
Are you ready to start your career in data analytics? Join the PW Skills Comprehensive Data Analytics course and gain the skills you need to succeed in this growing field!
This course is designed to teach you everything that is in demand today. At PW Skills, we provide-
- Hands-on learning in our coding lab
- Where you can practice and enhance your skills.
- Our instructor-led classes ensure that you receive personalized guidance.
- If you have any doubts, don’t worry – we have regular doubt-clearing sessions to support you.
- Being part of the PW Skills community gives you access to our large alumni network, providing support and connections to help you in your career.
- We also offer 100% job assistance to help you secure data analytics internships.
Don’t miss this opportunity. Join PW Skills today and take the first step toward a successful career in data analytics!
Recommended Course
- Generative AI Course
- Python DSA Course
- Devops Course
- UI UX Course
- Digital Marketing Course
- Product Management Course
Data Analyst Recruitment FAQs
What skills are required to become a data analyst?
Data analysts need strong analytical skills, proficiency in Excel, SQL, and Python, as well as knowledge of data visualization tools like Tableau or Power BI. Communication skills are also important for presenting insights.
What is the typical job description for a data analyst?
Data analysts are responsible for gathering, cleaning, and interpreting data to help businesses make informed decisions. They use tools such as SQL, Python, and Excel to extract and analyze large datasets.
What are the educational qualifications needed for a data analyst role?
Most data analyst roles require a bachelor’s degree in fields like data science, computer science, mathematics, or related disciplines. Some positions also prefer candidates with certifications in data analysis or specific software tools.