📋 Job Details at a Glance 📍 Location Bengaluru, Karnataka, India 🏢 Company Amazon 👥 Experience 2+ years 🎓 Qualification Bachelor’s degree preferred 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹15–25 LPA (estimated) 🏢 Industry Technology 🛠 Key Skills Amazon Redshift Oracle NoSQL Tableau Amazon QuickSight Microsoft Excel MicroStrategy Power BI Python Java Business Intelligence Engineer at Amazon — Full Details & How to Apply Amazon is seeking a Business Intelligence Engineer in Bengaluru, Karnataka, India , where you can leverage advanced tools like Amazon Redshift and Tableau to drive impactful data insights. This role is pivotal in enhancing Amazon's data-driven decision-making processes, making it an excellent opportunity for aspiring data professionals. The demand for skilled Business Intelligence Engineer jobs is surging in the technology sector, particularly as companies increasingly rely on data analytics to inform their strategies. At Amazon , this role is crucial for transforming complex data into actionable insights, directly influencing business strategies and outcomes. Amazon is an employer due to its scale and commitment to innovation. Founded in 1994 , the company employs over 1.5 million people globally and is a leader in e-commerce and cloud computing. This role offers a unique chance to work with a diverse tech stack, including Amazon QuickSight and MicroStrategy , which are less commonly used in competing firms. We encourage 2023, 2024, 2025, 2026 graduates to apply, especially those with a Bachelor’s degree preferred and 2+ years experience . The estimated salary for this position ranges from ₹15–25 LPA , making it an attractive opportunity for fresh talent in the field. In this role, you will gain hands-on experience with essential skills such as Python , Java , R , and Microsoft Excel . This experience will not only enhance your technical capabilities but also open doors for career advancement in data analytics and business intelligence, positioning you for future leadership roles. 📊 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 at Amazon is to leverage data analytics to drive strategic decisions and enhance operational efficiency through insightful data visualization and collaboration. Define business metrics using Amazon Redshift to analyze large datasets and drive strategic decisions that impact business outcomes. Utilize Tableau to develop interactive dashboards that visualize key performance indicators for stakeholders, facilitating informed decision-making. Collaborate with cross-functional teams, including Data Engineering and Product Management , to align data initiatives and ensure cohesive project execution. Analyze performance metrics to identify trends and provide actionable insights that enhance operational efficiency and drive continuous improvement. Take ownership of building and maintaining data pipelines that ensure data integrity and accessibility, utilizing Python for automation. Document data processes and communicate findings through comprehensive reports to stakeholders, ensuring clarity and transparency in data-driven decisions. Engage with clients to understand their data needs and provide tailored solutions using statistical analysis, enhancing client satisfaction. This role fosters an ownership culture where your contributions directly impact business strategies and operational success, making your work essential to Amazon 's growth. Required Skills & Technical Competencies The skill profile for this role emphasizes proficiency in data analytics tools and programming languages essential for effective data manipulation and visualization. Technical Skills Amazon Redshift — advanced — essential for data warehousing and analytics, requiring proficiency in SQL and data modeling to support business intelligence initiatives. Tableau — advanced — used for creating visualizations that help stakeholders understand complex data insights and drive informed decisions. Python — intermediate — applied for data manipulation and analysis, crucial for automating data workflows and enhancing efficiency. Power BI — intermediate — utilized for reporting and dashboard creation, enhancing data accessibility for non-technical users and stakeholders. Statistical Analysis — intermediate — evaluated through practical assessments during the interview process to gauge analytical thinking and problem-solving capabilities. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact in real-world scenarios. Eligibility Criteria This role is designed for candidates with a strong technical background and a keen interest in data analytics, particularly fresh graduates and experienced professionals. A Bachelor's degree in fields like Computer Science , Engineering , or Mathematics is preferred due to the technical nature of the role. Eligible batches include 2023 , 2024 , 2025 , and 2026 , allowing fresh graduates to apply and start their careers. Candidates with 2+ years of experience are preferred, but freshers with relevant internships or projects may also be considered. A minimum CGPA of 7.0 is often expected to demonstrate academic proficiency in relevant subjects. Having a portfolio showcasing projects on GitHub related to data analysis or business intelligence can provide a competitive edge. Documentation & Portfolio Requirements Ensure your resume is clear and concise, highlighting relevant skills and experiences. Include links to your GitHub portfolio showcasing data analysis projects. Pro tip: Tailor your application to highlight specific experiences with Amazon Redshift and Tableau , as these are critical for this role. Salary for Business Intelligence Engineer at Amazon 💰 Compensation ₹15–25 LPA (estimated) The advertised compensation for the Business Intelligence Engineer role at Amazon is ₹15–25 LPA (estimated) . 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 Upskilling with the right resources significantly enhances your chances of selection for the Business Intelligence Engineer role at Amazon . Recommended Courses & Resources Oracle — Essential for managing and analyzing large datasets effectively. NoSQL — Crucial for handling unstructured data in modern applications. Tableau — Key for creating interactive data visualizations and dashboards. Power BI — Important for business analytics and reporting tasks. KodNest — Offers practical coding experience relevant to data engineering. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor your resume — Highlight relevant skills for the Business Intelligence Engineer role. ❌ Neglecting to quantify achievements — Use metrics to enhance the impact of your experience. ❌ Overlooking teamwork and collaboration — Showcase experiences in data-driven projects. ❌ Using generic language — Employ specific technical terms that align with the job description. ❌ Not preparing for technical interviews — Practice relevant data analysis and visualization tasks. ❌ Submitting applications without proofreading — Ensure there are no typos or errors that can undermine professionalism. Before You Apply — Checklist ✅ Research Amazon 's culture and recent news to tailor your application effectively. ✅ Update your resume to reflect relevant skills and experiences, focusing on data analysis tools. ✅ Prepare a cover letter that highlights your interest in data and how it aligns with Amazon 's mission. ✅ Gather references who can speak to your analytical skills and teamwork capabilities. ✅ Ensure your LinkedIn profile is up-to-date and reflects your resume accurately. ✅ Practice common interview questions related to data analysis and business intelligence. ✅ Review the job description thoroughly to align your application with specific requirements. ✅ Submit your application through the official Amazon job portal before the deadline. Resume Tailoring & ATS Keywords for Business Intelligence Engineer Optimizing your resume for ATS is crucial for securing the Business Intelligence Engineer role at Amazon . ATS Keywords to Include Business Intelligence Data Analysis Amazon Redshift Tableau Python Dashboard Creation Statistical Analysis Data Modeling Stakeholder Communication Pipeline Development Oracle Power BI Resume Tips for This Role Highlight specific projects where you used data analysis tools like Tableau or Python to demonstrate practical experience. Emphasize teamwork and collaboration experiences, especially in cross-functional settings relevant to data initiatives. Include a link to your GitHub or portfolio showcasing relevant projects to provide tangible evidence of your skills. Optimize your resume for ATS by including keywords from the job description, particularly technical skills and tools. Avoid including unrelated work experiences that do not showcase your analytical or technical capabilities. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including generic job descriptions that do not specifically relate to the Business Intelligence Engineer role. How to Apply for Business Intelligence Engineer at Amazon Apply Now — Amazon Visit the Amazon job portal and search for the Business Intelligence Engineer position. Upload your resume, ensuring it is tailored to highlight relevant skills and experiences. Fill out the application form accurately, providing all required information. After submission, expect a confirmation email and prepare for potential follow-up communications. Track your application status through the Amazon job portal for updates. 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 in a garage in Seattle . Today, it has grown to become one of the world's most valuable companies, employing over 1.5 million people across more than 20 countries . The company's headquarters is located in Seattle, Washington , and it has a significant presence in Bengaluru, Karnataka, India . Amazon is well-known for its diverse range of products and services, including its e-commerce platform , AWS cloud services , and innovations like Alexa and Prime Video . The company also offers tools like Amazon QuickSight and Amazon Redshift to empower businesses with data analytics and cloud computing capabilities. The culture at Amazon emphasizes innovation and customer obsession, which is reflected in its Glassdoor rating of 4.3 . The company offers various employee programs, including mentorship initiatives and leadership development, aimed at fostering growth and satisfaction among its over 1.5 million employees . Recently, Amazon announced plans to invest ₹1,000 crore in India to enhance its logistics and technology infrastructure. This investment highlights the company's commitment to expanding its operations and improving service delivery in the Indian market, further solidifying its position as a leader in the technology sector. For freshers in technology, Amazon serves as a robust career launchpad, offering opportunities to work on high-impact projects and access to cutting-edge technologies. The company’s focus on mentorship and continuous learning equips new employees with the skills necessary to thrive 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 at Amazon? Eligibility Tap to expand + Answer Candidates with Bachelor’s degree preferred and 2+ 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: Amazon Redshift, Oracle, NoSQL, Tableau, Amazon QuickSight. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹15–25 LPA (estimated). 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: Amazon Redshift, Oracle, NoSQL, Tableau, Amazon QuickSight. ? 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 interview? Preparation Tap to expand + Answer (1) Core concepts of Amazon Redshift, Oracle, NoSQL, Tableau, Amazon QuickSight, (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. 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