Data Analyst at S&P Global

S&P Global · Ahmedabad, Gujarat, India

📋 Job Details at a Glance 📍 Location Ahmedabad, Gujarat, India 🏢 Company S&P Global 👥 Experience Fresher 🎓 Qualification Any Graduate 📅 Eligible Batch 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹5–8 LPA* 🏢 Industry Banking & Finance 🛠 Key Skills Python Tableau Blue Prism Data Analysis Problem-Solving Data Analyst at S&P Global — Full Details & How to Apply S&P Global is seeking a Data Analyst in Ahmedabad, Gujarat, India , offering fresh graduates a chance to work in the banking and finance sector. With a competitive salary of ₹5–8 LPA* , this role is perfect for those looking to kickstart their careers. The demand for Data Analyst jobs in the banking and finance sector is surging as companies increasingly rely on data-driven decision-making. This specific role at S&P Global is crucial, as it directly supports the organization’s mission to provide actionable insights that enhance client decision-making processes. S&P Global , founded in 1868 , boasts over 20,000 employees globally and is recognized for its financial analytics and data services. This established company not only offers a robust work environment but also emphasizes a culture of innovation and collaboration, making it an ideal place for aspiring data analysts. We encourage 2024, 2025, 2026 graduates to apply, especially those with a background as a Any Graduate and Fresher experience . The competitive salary of ₹5–8 LPA* makes this an attractive entry point into the industry. In this role, you will gain hands-on experience with essential tools like Python , Tableau , and Blue Prism , which are vital for a successful career in data analytics. This position not only opens doors to immediate opportunities but also paves the way for career advancement into senior analyst or managerial roles within 2-3 years . 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated non-tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The core mission of the Data Analyst role at S&P Global is to transform complex business and financial data into actionable insights that enhance decision-making processes across the organization. Analyze business and financial data using Python to derive actionable insights that drive decision-making. Create interactive dashboards in Tableau to visualize key performance indicators for stakeholders, enhancing data comprehension. Collaborate with cross-functional teams, including finance and IT, to streamline data processes and improve efficiency through effective communication. Monitor data quality metrics to ensure accuracy and reliability in reporting, utilizing Python for data validation. Take ownership of process improvement projects aimed at enhancing data analysis workflows, leveraging Blue Prism for automation. Document findings and prepare detailed reports to communicate insights to management, ensuring clarity and precision. Engage in problem-solving sessions with clients to address data-related challenges and provide solutions using analytical skills. This role fosters an ownership culture where your contributions directly impact the organization’s strategic direction and operational efficiency. Required Skills & Technical Competencies The Data Analyst position requires a robust skill profile that includes technical expertise and problem-solving abilities to effectively analyze and present data. Technical Skills Python — entry — essential for data manipulation and analysis, particularly using libraries like Pandas and NumPy. Tableau — entry — used for creating data visualizations, crucial for presenting insights to non-technical stakeholders. Blue Prism — entry — familiarity with this RPA tool can enhance automation of data processes. Data Analysis — entry — involves interpreting complex datasets to inform business strategies and decisions. Problem-Solving — entry — critical for identifying data discrepancies and developing effective solutions. Soft Skills & Professional Competencies Analytical Thinking — essential for breaking down complex data sets and deriving meaningful insights. Attention to Detail — crucial for ensuring data accuracy and reliability in reporting. Effective Communication — necessary for presenting findings clearly to stakeholders. Collaboration — important for working with cross-functional teams to enhance data processes. Good to Have (Bonus Skills) SQL — enables efficient querying of databases, unlocking deeper data insights. Excel — advanced skills can aid in data analysis and reporting tasks. Statistical Analysis — knowledge in this area can enhance data interpretation and forecasting. When showcasing these skills in your resume or interview, emphasize specific projects or experiences where you applied these competencies effectively. Eligibility Criteria This role is designed for recent graduates eager to start their careers in data analysis within the banking and finance sector. Any graduate is eligible, with a preference for those with a finance background. Batches 2024 , 2025 , and 2026 are encouraged to apply. No prior experience is required, making this role ideal for freshers. A minimum academic performance of 60% is preferred to ensure a strong foundational knowledge. Having a portfolio or GitHub showcasing relevant projects can provide a competitive edge in the application process. Documentation & Portfolio Requirements Submit your resume in a clear format, including your educational background, relevant skills, and any projects that demonstrate your analytical capabilities. Pro Tip: Highlight any specific projects where you utilized Python or Tableau to solve real-world problems in your application. Salary for Data Analyst at S&P Global 💰 Compensation ₹5–8 LPA* The advertised compensation for the Data Analyst role at S&P Global is ₹5–8 LPA* . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Selection Process at S&P Global The selection process for the Data Analyst role at S&P Global is designed to assess both technical skills and cultural fit. 1 Online Assessment — 60 minutes, testing basic data analysis and Python skills 2 Technical Interview — focuses on Python, Tableau, and data interpretation 3 Behavioral Interview — assesses cultural fit and problem-solving abilities through situational questions 4 HR Interview — discusses salary expectations and offers typically made within a week Topic-wise Preparation Guide Round 1: Online Assessment Data Manipulation — understanding data structures in Python is crucial for this role — W3Schools Basic Statistics — foundational knowledge is necessary for data analysis — Khan Academy Data Visualization — familiarity with Tableau concepts will be beneficial — Tableau Problem-Solving Techniques — practice scenarios that require analytical thinking — GeeksForGeeks Round 2: Technical Interview Python Libraries — focus on Pandas and NumPy for data analysis tasks — Udemy Tableau Functions — learn about creating dashboards and visualizations — Tableau Data Interpretation — practice interpreting datasets and drawing conclusions — HackerRank SQL Queries — understanding basic SQL will enhance your data querying skills — W3Schools SQL Business Metrics — familiarize yourself with key performance indicators relevant to finance — freeCodeCamp Round 3: Behavioral Interview Behavioral Questions — prepare using the STAR method to articulate past experiences — MindTools Team Collaboration — be ready to discuss how you work with others to solve problems — YouTube Technical Deep-Dive — expect questions on specific data analysis techniques and tools — GeeksForGeeks Timeline & Expectations The typical timeline from application to offer can range from 2 to 4 weeks , depending on the number of candidates and interview schedules. Prepare thoroughly for each round, focusing on both technical skills and your ability to fit into the company culture. Expected Interview Questions for Data Analyst at S&P Global These questions are based on the role's actual tech stack and responsibilities. Technical Questions Explain how you would use Python to clean a dataset. What are the key features of Tableau that you find most useful? How do you approach data visualization for non-technical stakeholders? Describe a time you used data analysis to solve a problem. What is your experience with Blue Prism in automating data processes? How do you ensure data quality in your analysis? Behavioral Questions Describe a challenging project you worked on and how you overcame obstacles. How do you prioritize tasks when faced with multiple deadlines? Give an example of how you handled feedback on your work. Discuss a time when you had to collaborate with a difficult team member. Role-Specific Questions What specific data analysis techniques would you apply in the banking sector? How would you approach creating a dashboard for financial reporting? What metrics would you consider essential for evaluating a company's performance? Structure your answers using the STAR method to clearly articulate your thought process and outcomes. Resume Tailoring & ATS Keywords for Data Analyst Optimizing your resume for ATS is crucial for standing out in the application process. ATS Keywords to Include Data Analyst Python Tableau Data Analysis Problem-Solving Blue Prism Financial Data Reporting Dashboards Process Improvement Business Analytics Data Visualization Resume Tips for This Role Highlight your proficiency in Python and Tableau , as these are critical for the role. Emphasize any relevant projects or internships that showcase your data analysis skills. Include specific metrics or outcomes from your work to demonstrate impact. Optimize your resume for ATS by using keywords from the job description. Avoid including unrelated work experience that does not pertain to data analysis. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Do not include irrelevant work experience that does not relate to data analysis. About S&P Global S&P Global was founded in 1868 and has grown to employ over 20,000 professionals worldwide, with its headquarters located in New York City . The company has a significant presence in Ahmedabad, Gujarat , contributing to its global footprint across over 150 countries . The core offerings of S&P Global include comprehensive data services such as credit ratings , benchmarks , and analytics . These services are essential for clients in various sectors, including banking and finance, helping them make informed decisions based on reliable data. S&P Global has received notable accolades for its workplace culture, including a Glassdoor rating of 4.2 , which reflects high levels of employee satisfaction and engagement. The company actively promotes initiatives that foster a supportive environment, including mentorship programs and professional development opportunities. Recently, S&P Global announced a strategic partnership aimed at enhancing its data analytics capabilities, demonstrating its commitment to innovation in financial services. This initiative is expected to bolster its offerings and improve client experiences in the rapidly evolving financial landscape. Joining S&P Global as a fresher provides unparalleled exposure to the banking and finance industry. The company’s extensive resources and training programs lay a strong foundation for a successful career, equipping new hires with the skills necessary to excel in this competitive field. Why Join S&P Global as Data Analyst? As a Data Analyst at S&P Global , you will gain invaluable experience in data analysis, utilizing cutting-edge tools and technologies that are pivotal in the finance sector. Hands-on Python Experience — Develop your programming skills with Python, a critical language for data analysis, enhancing your technical proficiency. Tableau Proficiency — Gain exposure to Tableau, enabling you to create visually compelling dashboards that effectively communicate data insights. Career Advancement Opportunities — With a clear path to roles such as Senior Data Analyst or Data Scientist, you can expect potential promotions within 2-3 years . Collaborative Work Culture — Engage in a supportive environment that encourages mentorship and knowledge sharing, fostering your professional growth. Cost-effective Living in Ahmedabad — Enjoy a vibrant lifestyle in Ahmedabad , which offers a lower cost of living, making it an attractive location for freshers. According to NexisGrow.com, starting your career at S&P Global as a Data Analyst provides a robust foundation in the banking and finance industry, setting you up for long-term success. Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Data Analyst at S&P Global? Eligibility Tap to expand + Answer Candidates with Any Graduate and Fresher experience are eligible. Eligible batches: 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Python, Tableau, Blue Prism, Data Analysis, Problem-Solving. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹5–8 LPA*. Final offer depends on skills, experience, and interview performance. ? What is the interview process at S&P Global? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Python, Tableau, Blue Prism, Data Analysis, Problem-Solving. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Data Analyst interview? Preparation Tap to expand + Answer (1) Core concepts of Python, Tableau, Blue Prism, Data Analysis, Problem-Solving, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) S&P Global research, (5) Clear communication. ? What is the work culture like at S&P Global? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in Ahmedabad Browse all Non-Tech jobs Latest Fresher jobs More jobs at S&P Global Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com