📋 Job Details at a Glance 📍 Location Bengaluru, Karnataka, India 🏢 Company Amazon 👥 Experience 3+ Years 🎓 Qualification Any Graduate 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹26–₹37 LPA 🏢 Industry Technology 🛠 Key Skills SQL Python Tableau Amazon QuickSight Redshift Oracle NoSQL R SAS MATLAB Business Intelligence Engineer II – Customer Returns at Amazon — Full Details & How to Apply Amazon is seeking a Business Intelligence Engineer II – Customer Returns in Bengaluru, Karnataka, India , where you can leverage your data skills to drive customer return insights. This role offers a salary range of ₹26–₹37 LPA , making it a lucrative opportunity for fresh graduates. The demand for data-driven decision-making in the technology sector is growing, making this role crucial for optimizing customer return processes at Amazon . As e-commerce continues to expand, the ability to analyze and interpret return trends is vital for enhancing customer satisfaction and operational efficiency. Amazon is known for its innovative culture and focus on employee growth. Founded in 1994 , Amazon employs over 1.5 million people globally and is a leader in e-commerce and cloud computing, providing a robust platform for career advancement. This position is ideal for 2023, 2024, 2025, 2026 graduates from Any Graduate background with 3+ Years experience . The competitive salary of ₹26–₹37 LPA reflects the value placed on skilled professionals in this field. In this role, you will work with advanced tools such as SQL , Python , Tableau , Amazon QuickSight , and Redshift . Gaining hands-on experience in statistical analysis and data visualization will not only enhance your skill set but also open doors to future opportunities in data analytics and business intelligence. 📊 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 core mission of the Business Intelligence Engineer II – Customer Returns at Amazon is to leverage data analytics to enhance customer return processes and drive operational efficiency. Analyze complex datasets using SQL and Python to identify trends in customer returns, enhancing operational efficiency and informing strategic decisions. Develop automated dashboards with Tableau and Amazon QuickSight to visualize key performance indicators, ensuring stakeholders have access to actionable insights. Collaborate with cross-functional teams, including product management and operations, to align data insights with business strategies and improve customer experience. Monitor and report on customer return metrics, providing actionable insights that drive decision-making processes and enhance service delivery. Take ownership of data quality initiatives, ensuring accuracy and reliability in reporting and analysis through rigorous validation processes. Document findings and present reports to senior management, facilitating data-driven discussions and strategies that impact business outcomes. Engage with customer service teams to troubleshoot return issues, leveraging data to improve customer experience and operational workflows. This role fosters an ownership culture, allowing you to directly impact customer satisfaction and operational excellence through data-driven insights. Required Skills & Technical Competencies The ideal candidate will possess a robust skill profile in data analytics and visualization, essential for driving insights in customer returns. Technical Skills SQL — advanced — essential for querying large datasets and writing complex queries for data extraction. Python — advanced — used for data manipulation and analysis, critical for automating data processes in this role. Tableau — intermediate — utilized for creating interactive dashboards, enabling stakeholders to visualize data insights effectively. Amazon QuickSight — intermediate — a key tool for data visualization specific to Amazon's ecosystem, enhancing reporting capabilities. Statistical analysis — advanced — foundational for interpreting data trends and making informed business recommendations. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences where you applied these tools effectively. Eligibility Criteria This role is designed for recent graduates and experienced professionals who are eager to contribute to data-driven decision-making in customer returns. Any graduate is eligible, as diverse educational backgrounds can contribute to innovative data solutions. Eligible batches include 2023 to 2026 , allowing recent graduates to apply and kickstart their careers. Candidates with 3+ years of experience are preferred, but freshers with relevant skills can also be considered for entry-level tasks. A minimum academic performance of 60% is expected, ensuring a strong foundational knowledge base. Having a portfolio or GitHub showcasing relevant projects can significantly enhance your application for this role. Documentation & Portfolio Requirements Ensure your resume is clear and concise, highlighting relevant skills and experiences, and include links to your portfolio or GitHub showcasing your projects. Pro tip: Tailor your application to emphasize your experience with SQL and Python , as these are critical for the role. Salary for Business Intelligence Engineer II – Customer Returns at Amazon 💰 Compensation ₹26–₹37 LPA The advertised compensation for the Business Intelligence Engineer II – Customer Returns role at Amazon is ₹26–₹37 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 Business Intelligence Engineer II – Customer Returns Upskilling with the right resources significantly enhances your chances of selection for this specific role. Recommended Courses & Resources SQL — Essential for data manipulation and querying in this role. Python — Crucial for data analysis and automation tasks. Tableau — Important for creating impactful data visualizations. Amazon QuickSight — Key for data visualization within Amazon's ecosystem. KodNest — Useful for enhancing coding skills relevant to data analysis. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor your resume to the specific skills and responsibilities outlined in the job description. — Customize your resume for this role. ❌ Overlooking the importance of showcasing relevant projects or internships that demonstrate your analytical capabilities. — Highlight your practical experience. ❌ Neglecting to highlight your proficiency in key tools like SQL and Tableau, which are essential for the role. — Make these skills prominent. ❌ Submitting a generic cover letter that does not address why you are a good fit for Amazon specifically. — Personalize your cover letter. ❌ Ignoring the application deadline or failing to follow the application instructions provided in the job posting. — Stay organized and attentive. ❌ Not preparing for technical interviews by practicing relevant data analysis and visualization tasks. — Engage in mock interviews and practice. Before You Apply — Checklist ✅ Research Amazon's culture and values to align your application with their expectations. ✅ Update your resume to reflect relevant skills and experiences tailored to the job description. ✅ Prepare a cover letter that specifically addresses your interest in the Business Intelligence Engineer II role. ✅ Gather any necessary documents, such as transcripts or portfolios, to support your application. ✅ Double-check your application for any errors or missing information before submission. ✅ Set reminders for follow-up on your application status after submission. ✅ Network with current or former Amazon employees to gain insights into the company and role. ✅ Practice common interview questions related to data analysis and visualization. Resume Tailoring & ATS Keywords for Business Intelligence Engineer II – Customer Returns Optimizing your resume for ATS is crucial for ensuring it passes initial screenings for this role. ATS Keywords to Include Business Intelligence SQL Python Tableau Amazon QuickSight Data Visualization Statistical Analysis Dashboard Development Customer Returns Data Analysis Redshift NoSQL Resume Tips for This Role Highlight your proficiency in SQL and Python, as these are critical for the role's data analysis tasks. Emphasize any experience with data visualization tools like Tableau or Amazon QuickSight to align with the job requirements. Include relevant projects or internships that showcase your analytical skills and ability to work with complex datasets. Optimize your resume for ATS by incorporating keywords from the job description, ensuring it passes initial screenings. Avoid including unrelated work experience or generic statements that do not demonstrate your fit for this specific role. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Do not include unrelated work experience that does not demonstrate your fit for the Business Intelligence Engineer II role. How to Apply for Business Intelligence Engineer II – Customer Returns at Amazon Apply Now — Amazon Visit the Amazon jobs portal and search for the Business Intelligence Engineer II position. Upload your resume, ensuring it is tailored to the job description and highlights relevant skills. Fill out the application form carefully, providing accurate information about your education and experience. After submission, expect a confirmation email and keep an eye on your application status through the portal. Use the application tracking feature to monitor any updates or requests for interviews. Applications reviewed on a rolling basis — early submission recommended. Apply Now — Amazon NexisGrow.com does not charge any fees for job applications. Amazon Amazon was founded in 1994 by Jeff Bezos and has since evolved into one of the largest technology companies globally, employing over 1.5 million people . With its headquarters located in Seattle , Amazon has established a significant presence in Bengaluru, Karnataka, India , contributing to its extensive global footprint across various markets. Amazon offers a diverse range of products and services, including its leading e-commerce platform, Amazon Web Services (AWS) , and the voice-activated assistant Alexa . These innovations have transformed consumer interactions with technology, making Amazon a household name in multiple sectors. The workplace culture at Amazon has garnered numerous accolades, including a 4.3-star rating on Glassdoor, where it has been recognized as one of the 'Best Places to Work'. Employee programs focus on mentorship, diversity, and career development, fostering a supportive environment for personal and professional growth. Recently, Amazon announced plans to invest ₹ 1,500 crore in its operations in India , emphasizing advancements in technology and logistics. This investment aims to enhance customer service capabilities and expand its operational infrastructure across the region. Starting a career at Amazon offers freshers in technology unparalleled opportunities for growth and exposure to cutting-edge tools like Amazon QuickSight and Redshift . The company's commitment to innovation and employee development makes it an ideal launchpad for aspiring professionals in the tech industry. Company Details Industry Technology Location Bengaluru, Karnataka, India Connect With Us Careers Apply Now Website 🔗 amazon.jobs Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Business Intelligence Engineer II – Customer Returns at Amazon? Eligibility Tap to expand + Answer Candidates with Any Graduate and 3+ Years experience are eligible. Eligible batches: 2023, 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: SQL, Python, Tableau, Amazon QuickSight, Redshift. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹26–₹37 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Amazon? 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: SQL, Python, Tableau, Amazon QuickSight, Redshift. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Business Intelligence Engineer II – Customer Returns interview? Preparation Tap to expand + Answer (1) Core concepts of SQL, Python, Tableau, Amazon QuickSight, Redshift, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Amazon research, (5) Clear communication. ? What is the work culture like at Amazon? 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 Bengaluru Browse all Tech jobs Latest Fresher jobs More jobs at Amazon 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