📋 Job Details at a Glance 📍 Location Gurugram, Haryana, India 🏢 Company PwC 👥 Experience Fresher 🎓 Qualification B.E./B.Tech, MCA, BCA, B.Sc. (Computer Science/IT), or Equivalent 📅 Eligible Batch 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary As per Company Policy 🏢 Industry Technology 🛠 Key Skills AWS Cloud Services Data Analytics Data Visualization Tools Big Data Technologies Machine Learning Basics AWS Specialist – Data & Analytics Advisory at PwC — Full Details & How to Apply PwC is seeking an AWS Specialist – Data & Analytics Advisory in Gurugram, Haryana, India , where freshers can leverage cutting-edge AWS Cloud Services. This role offers a unique entry point into the technology industry, focusing on data analytics and machine learning. The demand for cloud-based data solutions is surging, making this AWS Specialist role crucial for PwC 's strategic initiatives in data analytics. As organizations increasingly rely on data-driven decision-making, the need for skilled professionals in this area is more significant than ever, positioning this role at the forefront of technological advancement. PwC , founded in 1998 , is a global leader in professional services with over 250,000 employees worldwide. This extensive network provides a robust platform for freshers, fostering a culture of innovation and collaboration that enhances career development. The company’s commitment to leveraging technology for client solutions makes it an ideal employer for aspiring tech professionals. We encourage 2024, 2025, 2026 graduates with a B.E./B.Tech, MCA, BCA, B.Sc. (Computer Science/IT), or Equivalent to apply. This role is designed for those with fresher experience , and candidates can expect a salary of As per Company Policy . In this role, you will gain hands-on experience with AWS Cloud Services , Data Analytics , Data Visualization Tools , Big Data Technologies , and Machine Learning Basics . This exposure not only sets you apart from peers in the job market but also opens doors to advanced career opportunities in a rapidly growing tech landscape. 📊 Role Difficulty: Medium | Competition Level: Medium | 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 AWS Specialist – Data & Analytics Advisory at PwC focuses on leveraging AWS Cloud Services to analyze client data and deliver actionable insights that drive business performance. Analyze client data using AWS Cloud Services to derive actionable insights that enhance business performance and inform strategic decisions. Utilize data visualization tools like Tableau or Power BI to create compelling reports that effectively communicate insights to stakeholders. Collaborate with cross-functional teams, including IT and business strategy, to implement data-driven solutions tailored to client needs. Monitor and evaluate data analytics performance metrics to ensure alignment with client objectives and drive continuous improvement. Take initiative in developing innovative data solutions that address specific client challenges and enhance operational efficiency. Document analytical processes and findings to maintain transparency and facilitate knowledge sharing among team members. Engage with clients to understand their data needs and provide tailored analytics solutions that meet their unique requirements. This role fosters an ownership culture, allowing you to make a direct impact on client success through innovative data-driven strategies. Required Skills & Technical Competencies The ideal candidate for the AWS Specialist – Data & Analytics Advisory role must possess a strong technical skill profile in data analytics and cloud services. Technical Skills AWS Cloud Services — entry to intermediate — essential for managing and analyzing large datasets effectively in client projects. Data Analytics — entry to intermediate — practical application in interpreting complex data sets to inform business decisions and strategies. Data Visualization Tools — entry to intermediate — used daily to present data insights clearly and effectively to clients using tools like Tableau or Power BI . Big Data Technologies — entry — familiarity with tools like Hadoop or Spark is beneficial for handling large-scale data processing tasks. Machine Learning Basics — entry — foundational knowledge required to support advanced analytics projects and enhance data-driven solutions. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and practical application of these technologies. Eligibility Criteria This role is designed for fresh graduates eager to start their careers in data analytics and cloud services. Candidates must hold a B.E. / B.Tech , MCA , BCA , or B.Sc. in Computer Science/IT . Eligible batches include 2024 , 2025 , and 2026 , aligning with PwC 's focus on nurturing fresh talent. The role is open to freshers, providing a unique entry point into the tech industry without prior experience. A minimum academic performance of 60% is preferred to ensure a strong grasp of technical concepts. Having a portfolio or GitHub showcasing relevant projects can provide a competitive edge in the application process. Documentation & Portfolio Requirements Ensure your resume is formatted clearly and includes relevant educational details, technical skills, and any project work that demonstrates your capabilities in data analytics and cloud services. Pro tip: Highlight any hands-on experience with AWS Cloud Services or data visualization tools in your portfolio to stand out in your application. Salary for AWS Specialist – Data & Analytics Advisory at PwC 💰 Compensation As per Company Policy The advertised compensation for the AWS Specialist – Data & Analytics Advisory role at PwC is As per Company Policy . 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 AWS Specialist – Data & Analytics Advisory Upskilling with the right resources significantly enhances your chances of selection for this specific role. Recommended Courses & Resources AWS Cloud Services — Mastering AWS is crucial for data management and analytics tasks. Data Visualization Tools — Essential for presenting data insights effectively to stakeholders. KodNest — Offers practical projects that enhance your analytical skills in real-world scenarios. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor your resume — fix by aligning your experiences with the job description. ❌ Neglecting to showcase teamwork experiences — crucial for this collaborative role. ❌ Overlooking the importance of technical skills — ensure these are prominently featured. ❌ Submitting a generic cover letter — customize it to address PwC's specific needs. ❌ Ignoring the application deadline — always apply well before the last date. ❌ Not preparing for technical questions — practice related to AWS and data analytics during interviews. Before You Apply — Checklist ✅ Research PwC's recent projects and initiatives in data analytics to tailor your application. ✅ Update your resume to reflect relevant skills and experiences. ✅ Prepare a cover letter that specifically addresses why you want to work at PwC. ✅ Gather any necessary documents, such as transcripts or certifications. ✅ Double-check the application deadline and ensure timely submission. ✅ Practice common interview questions related to data analytics and AWS. ✅ Follow up on your application status after submission. ✅ Network with current or former PwC employees to gain insights. Resume Tailoring & ATS Keywords for AWS Specialist – Data & Analytics Advisory Optimizing your resume for ATS is crucial to ensure it gets noticed for this role. ATS Keywords to Include AWS Cloud Services Data Analytics Data Visualization Big Data Technologies Machine Learning Client Engagement Cross-Functional Collaboration Performance Metrics Data Solutions Analytical Processes Technical Proficiency Innovation Resume Tips for This Role Highlight any relevant coursework or projects related to AWS or data analytics to demonstrate your technical skills. Emphasize teamwork and collaboration experiences, as PwC values cross-functional teamwork. Include links to your portfolio or GitHub to showcase practical applications of your skills. Optimize your resume for ATS by including keywords from the job description. Avoid including unrelated work experience that does not align with the role's requirements. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including generic skills that do not relate to AWS or data analytics, as they dilute your resume's impact. How to Apply for AWS Specialist – Data & Analytics Advisory at PwC Apply Now — PwC Visit the PwC application portal and create an account. Upload your resume, ensuring it is tailored to highlight relevant skills and experiences. Fill out the application form accurately, providing all required details. After submission, expect to receive an email confirmation regarding your application status. You can track your application status through the PwC portal. Applications reviewed on rolling basis — early submission recommended. Apply Now — PwC NexisGrow.com does not charge any fees for job applications. PwC PwC was established in 1998 and has since grown to become one of the largest professional services networks globally, with a presence in over 157 countries . The company is headquartered in London, UK , and boasts a significant operational base in Gurugram, Haryana , employing over 250,000 professionals worldwide. Specializing in advisory services, PwC offers a range of solutions including data analytics , AI , and cloud solutions . The firm utilizes platforms such as AWS Cloud Services and data visualization tools to assist clients in navigating complex business challenges, ensuring they leverage the latest technologies effectively. The company culture at PwC emphasizes collaboration and employee development, earning it recognition as one of the 'Best Places to Work' on Glassdoor . The firm offers comprehensive training programs and mentorship opportunities, fostering a supportive environment that encourages professional growth and innovation. Recently, PwC has expanded its capabilities in AI and machine learning , aligning with industry trends to enhance its service offerings. This strategic focus on technology has positioned the firm to better serve its clients and adapt to the evolving market landscape. For freshers in technology, PwC serves as a robust career launchpad, providing unparalleled access to mentorship and training programs. With a focus on developing skills in big data technologies and data analytics , new employees are well-equipped for long-term success in the tech industry. Company Details Industry Technology Location Gurugram, Haryana, India Connect With Us Careers Apply Now Website 🔗 pwc.wd3.myworkdayjobs.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for AWS Specialist – Data & Analytics Advisory at PwC? Eligibility Tap to expand + Answer Candidates with B.E./B.Tech, MCA, BCA, B.Sc. (Computer Science/IT), or Equivalent 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: AWS Cloud Services, Data Analytics, Data Visualization Tools, Big Data Technologies, Machine Learning Basics. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: As per Company Policy. Final offer depends on skills, experience, and interview performance. ? What is the interview process at PwC? 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: AWS Cloud Services, Data Analytics, Data Visualization Tools, Big Data Technologies, Machine Learning Basics. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the AWS Specialist – Data & Analytics Advisory interview? Preparation Tap to expand + Answer (1) Core concepts of AWS Cloud Services, Data Analytics, Data Visualization Tools, Big Data Technologies, Machine Learning Basics, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) PwC research, (5) Clear communication. ? What is the work culture like at PwC? 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 Gurugram Browse all Tech jobs Latest Fresher jobs More jobs at PwC 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. 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