📋 Job Details at a Glance 📍 Location Bangalore, Karnataka, India 🏢 Company Goldman Sachs 👥 Experience 1 – 3 Years 🎓 Qualification Any Graduate 📅 Eligible Batch 2021, 2022, 2023, 2024, 2025 📄 Job Type Full Time 💰 Salary ₹10 LPA 🏢 Industry Technology 🛠 Key Skills Data Analysis Excel Data Visualization Statistical Analysis Business Intelligence Tools Analyst – Data Analytics at Goldman Sachs — Full Details & How to Apply Goldman Sachs is seeking an Analyst – Data Analytics in Bangalore, Karnataka, India , where you can leverage your data analysis skills to impact global financial markets. With a salary of up to ₹10 LPA , this role is ideal for fresh graduates eager to establish their careers. The demand for data analytics in the financial sector is surging, with companies like Goldman Sachs investing heavily in technology to enhance decision-making. This Analyst – Data Analytics role is crucial as it directly contributes to optimizing data-driven strategies that influence investment decisions and client outcomes, making it a vital position in the evolving technology landscape. Goldman Sachs , founded in 1869 , has over 40,000 employees globally and is a leader in investment banking and financial services. The company’s focus on innovation makes it an exceptional employer for this role, providing a unique opportunity to work with advanced business intelligence tools and statistical analysis techniques. This position is open to 2021, 2022, 2023, 2024, 2025 graduates from Any Graduate background, with 1 – 3 Years experience preferred. The competitive salary of ₹10 LPA reflects the value placed on fresh talent in the field. In this role, you will gain hands-on experience with essential skills such as Data Analysis , Excel , Data Visualization , Statistical Analysis , and Business Intelligence Tools . This experience not only enhances your technical capabilities but also opens doors to advanced career opportunities within a globally recognized firm. 📊 Role Difficulty: Medium | Competition Level: High | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The Analyst – Data Analytics at Goldman Sachs is pivotal in transforming large datasets into actionable insights that drive strategic business decisions and enhance operational efficiency. Analyze large datasets using Excel to derive actionable insights that support business strategies and improve decision-making processes. Utilize data visualization tools like Tableau to create dashboards that present complex data in an understandable format for stakeholders. Collaborate with cross-functional teams, including IT and business units, to ensure data integrity and alignment with business goals through effective communication. Monitor and report on key performance metrics using statistical analysis to assess the effectiveness of data-driven initiatives and recommend improvements. Take ownership of data quality assessments , ensuring that analytics outputs meet the company's high standards for accuracy and reliability. Document analytical processes and findings to facilitate knowledge sharing and continuous improvement within the organization. Engage with clients to understand their data needs and provide tailored analytical solutions that leverage business intelligence tools . This role fosters an ownership culture where analysts directly impact business outcomes through data-driven insights and strategic recommendations. Required Skills & Technical Competencies The ideal candidate for the Analyst – Data Analytics role must possess a robust skill set in data analysis and visualization to effectively interpret and present data. Technical Skills Data Analysis — intermediate — essential for interpreting complex datasets to inform business decisions, requiring proficiency in statistical methods. Excel — advanced — used daily for data manipulation and analysis, with an expectation of advanced functions like VLOOKUP and pivot tables. Data Visualization — intermediate — critical for presenting data insights clearly, with tools like Tableau or Power BI being particularly relevant. Statistical Analysis — intermediate — necessary for validating data trends and patterns, ensuring analytical rigor in decision-making. Business Intelligence Tools — intermediate — familiarity with tools such as SQL or Python for data extraction and analysis is highly advantageous. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences where you effectively utilized these tools and methodologies. Eligibility Criteria This role is designed for graduates who are eager to apply their analytical skills in a leading financial technology environment. Any graduate is eligible, as diverse educational backgrounds are valued. Candidates from the batches of 2021 to 2025 are encouraged to apply, ensuring a fresh influx of talent. The experience requirement is flexible, allowing freshers to apply while also considering candidates with up to 3 years of experience. A minimum academic performance of 60% is preferred to ensure a strong foundational knowledge base. Having a portfolio or GitHub showcasing relevant projects or internships can significantly enhance a candidate's application. Documentation & Portfolio Requirements Ensure your resume is formatted clearly and includes relevant experiences, technical skills, and links to your portfolio or GitHub showcasing your analytical projects. Pro tip: Highlight specific analytical projects in your portfolio that demonstrate your proficiency in tools like Excel and Tableau to stand out in your application. Salary for Analyst – Data Analytics at Goldman Sachs 💰 Compensation ₹10 LPA The advertised compensation for the Analyst – Data Analytics role at Goldman Sachs is ₹10 LPA . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Analyst – Data Analytics Upskilling with the right resources significantly enhances your chances of selection for this role by equipping you with essential skills. Recommended Courses & Resources Excel — Mastering Excel is crucial for data analysis and visualization tasks. Data Visualization — Effective data storytelling is key to presenting analytical insights. Statistical Analysis — Understanding statistical methods is vital for data interpretation. KodNest — This platform offers practical projects to enhance your analytical skills. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor the resume — Customize your resume to match the job description. ❌ Neglecting to quantify achievements — Use specific metrics to highlight your impact. ❌ Overlooking teamwork experiences — Showcase relevant collaboration in your projects. ❌ Using a generic cover letter — Personalize your cover letter for Goldman Sachs. ❌ Not preparing for technical questions — Review common data analysis interview questions. ❌ Ignoring the application deadline — Keep track of submission dates to avoid missing out. Before You Apply — Checklist ✅ Research Goldman Sachs and understand its core values and recent news before applying. ✅ Update your resume to reflect relevant skills and experiences tailored to the Analyst role. ✅ Prepare a cover letter that highlights your interest in data analytics and why you want to work at Goldman Sachs. ✅ Gather any necessary documents, such as transcripts or certificates, to support your application. ✅ Double-check the application portal for any specific submission guidelines. ✅ Practice common interview questions related to data analysis and visualization. ✅ Set reminders for follow-up after submitting your application. ✅ Ensure your LinkedIn profile is up-to-date and reflects your resume. Resume Tailoring & ATS Keywords for Analyst – Data Analytics Optimizing your resume for ATS is crucial for ensuring it gets noticed for this role. ATS Keywords to Include Data Analysis Excel Data Visualization Statistical Analysis Business Intelligence Performance Metrics Data Quality Collaboration Client Engagement Dashboard Creation Analytical Solutions Data Integrity Resume Tips for This Role Highlight specific projects where you utilized data analysis skills, particularly in a business context. Emphasize teamwork and collaboration experiences, especially in cross-functional settings. Include links to your portfolio or GitHub showcasing relevant analytical projects. Optimize your resume for ATS by including keywords from the job description, particularly technical skills. Avoid generic statements; focus on quantifiable achievements and specific tools used in your projects. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including irrelevant work experiences that do not relate to data analytics. How to Apply for Analyst – Data Analytics at Goldman Sachs Apply Now — Goldman Sachs Visit the application portal and create an account if you don't have one. Upload your resume, ensuring it is tailored to the Analyst role. Fill out the application form, paying attention to detail and accuracy. After submission, expect a confirmation email and prepare for potential interviews. Use the application portal to track the status of your application. Applications reviewed on a rolling basis — early submission recommended. Apply Now — Goldman Sachs NexisGrow.com does not charge any fees for job applications. Goldman Sachs Goldman Sachs was founded in 1869 and has expanded to become a global leader in investment banking, securities, and investment management. With its headquarters located in New York City , the firm operates in over 60 countries , employing more than 40,000 professionals worldwide, showcasing its extensive global footprint. The core offerings of Goldman Sachs include investment banking services, asset management, and securities trading. The firm is particularly recognized for its innovative financial products, such as the Goldman Sachs Marcus platform, which provides personal loans and savings accounts, catering to a diverse clientele. Goldman Sachs has received numerous accolades, including being ranked among the top 100 companies to work for by Fortune . The company fosters a culture of mentorship and professional development, offering programs that support employee growth and well-being, reflecting its dedication to a positive work environment. Recently, Goldman Sachs announced a significant investment in technology, focusing on enhancing its data analytics capabilities. This initiative underscores the firm’s commitment to innovation and digital transformation, positioning itself at the forefront of the financial technology landscape. Starting a career at Goldman Sachs provides freshers with unparalleled exposure to the financial industry. With access to mentorship from industry leaders and a pathway to diverse career opportunities, the firm serves as a robust launchpad for those entering the technology sector. Company Details Industry Technology Location Bangalore, Karnataka, India Connect With Us Careers Apply Now Website 🔗 higher.gs.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Analyst – Data Analytics at Goldman Sachs? Eligibility Tap to expand + Answer Candidates with Any Graduate and 1 – 3 Years experience are eligible. Eligible batches: 2021, 2022, 2023, 2024, 2025. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Data Analysis, Excel, Data Visualization, Statistical Analysis, Business Intelligence Tools. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹10 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Goldman Sachs? 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: Data Analysis, Excel, Data Visualization, Statistical Analysis, Business Intelligence Tools. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Analyst – Data Analytics interview? Preparation Tap to expand + Answer (1) Core concepts of Data Analysis, Excel, Data Visualization, Statistical Analysis, Business Intelligence Tools, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Goldman Sachs research, (5) Clear communication. ? What is the work culture like at Goldman Sachs? 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 Bangalore Browse all Tech jobs More jobs at Goldman Sachs 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