Business Intelligence Engineer II, Ad Sales DIGI at Amazon

📋 Job Details at a Glance 📍 Location Bengaluru, Karnataka, India 🏢 Company Amazon 👥 Experience 0-2 years 🎓 Qualification Bachelor's or Master's degree in Computer Science, Information Systems, Data Analytics, Statistics, or a related quantitative field 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹18 – ₹28 LPA (varies based on technical depth and experience) 🏢 Industry Technology 🛠 Key Skills SQL Python Data Processing Data Modeling ETL Pipelines Redshift Oracle NoSQL Tableau QuickSight Business Intelligence Engineer II, Ad Sales DIGI at Amazon — Full Details & How to Apply Amazon is seeking a dynamic Business Intelligence Engineer II for its Ad Sales DIGI team in Bengaluru, Karnataka, India . This role offers a unique opportunity to shape data-driven strategies in a leading tech environment. As a pivotal player in the ad sales landscape, you will leverage data insights to drive revenue and optimize performance, making this position essential for anyone looking to make a mark in the technology sector. In today's data-centric world, the role of a Business Intelligence Engineer II is crucial for driving strategic decisions and optimizing ad sales performance. The demand for skilled professionals in this field is skyrocketing, as companies increasingly rely on data analytics to inform their marketing strategies. With the rise of digital advertising, understanding data trends is more important than ever, making this an opportune time to pursue Business Intelligence Engineer II, Ad Sales DIGI jobs at Amazon . What sets Amazon apart as an employer is its innovative culture and commitment to technology. The company fosters an environment where creativity and analytical skills are not just encouraged but celebrated. As a part of the Ad Sales DIGI team, you will work alongside some of the brightest minds in the industry, gaining exposure to cutting-edge technologies and methodologies. This commitment to employee growth is reflected in Amazon's internal promotion policy and rapid career advancement opportunities. This role is ideal for freshers and candidates with up to 2 years of experience who are eager to dive into the tech industry. Candidates must hold a B.Tech, B.E., MCA, or M.Tech degree, with eligible batches being 2023, 2024, 2025, and 2026 passouts. A minimum of 60% aggregate in academics is preferred, and prior internship or hands-on project experience will be a strong advantage. If you are passionate about data analytics and want to contribute to a leading tech giant, this is the role for you. As a Business Intelligence Engineer II at Amazon , you will gain invaluable skills in SQL , Python , and data modeling . You will also learn to build ETL pipelines and work with advanced tools like Tableau and QuickSight . This role will not only enhance your technical expertise but also equip you with the analytical skills necessary to thrive in a fast-paced environment. NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. If you are ready to take the next step in your career, don’t miss the chance to apply online for this exciting role at Amazon . Job Role & Responsibilities The role of a Business Intelligence Engineer II, Ad Sales DIGI at Amazon is pivotal in transforming complex data into actionable insights that drive advertising strategies. As part of a dynamic team, you will leverage advanced analytics to support business decisions and enhance operational efficiency. Analyze complex data sets to identify trends and insights that drive advertising strategies and business decisions, ensuring alignment with Amazon's objectives. Utilize SQL and Python to develop and maintain ETL pipelines , ensuring efficient data processing and modeling for ad sales analytics. Collaborate with cross-functional teams , including marketing and product management, to align data insights with business objectives and enhance decision-making. Deliver actionable reports and dashboards using Tableau and QuickSight , providing visibility into ad sales performance metrics for stakeholders. Take ownership of data quality and integrity, proactively identifying and resolving data discrepancies to maintain high standards of accuracy. Document processes and communicate findings effectively to stakeholders, ensuring clarity and alignment on data-driven decisions. Innovate and implement new data solutions to enhance analytical capabilities, contributing to improved operational efficiency. Participate in regular team meetings to discuss ongoing projects and share insights, fostering a culture of collaboration and continuous improvement. At Amazon , we embrace an ownership culture where every team member is encouraged to take initiative. Your contributions as a Business Intelligence Engineer II will have a significant impact on the success of our advertising strategies and overall business growth. Required Skills & Technical Competencies The ideal candidate for the Business Intelligence Engineer II, Ad Sales DIGI role at Amazon should possess a robust skill profile that combines technical expertise with analytical prowess. These skills are essential for effectively analyzing data and driving business insights. Technical Skills SQL (Advanced) — essential for querying large datasets, enabling you to extract meaningful insights that inform business strategies. Python (Intermediate) — utilized for data manipulation and analysis, allowing you to automate processes and enhance reporting efficiency. Data Processing — critical for transforming raw data into structured formats suitable for analysis, ensuring data quality and integrity. Data Modeling — necessary for designing data structures that effectively support analytical needs and business objectives. ETL Pipelines — experience in developing and maintaining these pipelines is crucial for efficient data flow and processing. Redshift — familiarity with this data warehousing service will be important for managing large-scale data environments. Oracle — knowledge of this database management system is beneficial for handling diverse data sources. NoSQL — understanding of NoSQL databases will aid in managing unstructured data effectively. Soft Skills & Professional Competencies Analytical thinking — necessary for navigating complex data challenges and delivering impactful solutions. Problem-solving — ability to identify issues and develop strategic solutions based on data insights. Communication skills — essential for documenting processes and conveying findings to stakeholders clearly. Team collaboration — ability to work effectively with cross-functional teams to achieve common goals. Good to Have (Bonus) Tableau — experience in this visualization tool will enhance your ability to present data insights effectively. QuickSight — familiarity with this business analytics service will be advantageous for reporting. Data Warehousing — knowledge in this area will support efficient data management strategies. To showcase these skills in your resume or interview for the Business Intelligence Engineer II role, highlight relevant projects, internships, and any experience with data analysis or BI tools. Demonstrating practical applications of your skills will set you apart as a strong candidate. Eligibility Criteria This role is designed for recent graduates and early-career professionals eager to make an impact in the tech industry. The Business Intelligence Engineer II, Ad Sales DIGI position is open to candidates who meet the following criteria: Candidates must hold a Bachelor's or Master's degree in Computer Science , Information Systems , Data Analytics , Statistics , or a related quantitative field. Eligible batches include 2023, 2024, 2025, and 2026 graduates, targeting fresh talent ready to innovate. This role is open to both freshers and candidates with up to 2 years of experience , providing a platform for early-career growth. A minimum CGPA of 7.0 is preferred, reflecting a strong academic foundation in relevant subjects. Projects or portfolios showcasing data analysis or BI tools will strengthen your application and demonstrate your practical skills. Prior internship or hands-on project experience is a strong advantage. Documentation & Portfolio Requirements Prepare a comprehensive resume that highlights your educational background, relevant skills, and any projects related to data analysis. Include a GitHub link or portfolio showcasing your work with SQL , Python , and any BI tools like Tableau or QuickSight . Certifications in data analytics or related fields will also enhance your application. Pro Tip: Tailor your application to emphasize your analytical skills and any relevant projects, as this will significantly improve your success rate for the Business Intelligence Engineer II role at Amazon . Salary & Benefits 💰 Compensation ₹18 – ₹28 LPA (varies based on technical depth and experience) The compensation philosophy at Amazon for the role of Business Intelligence Engineer II, Ad Sales DIGI is designed to attract top talent by offering a ₹18 – ₹28 LPA (varies based on technical depth and experience) salary range that reflects the candidate's technical depth and relevant experience . This ensures that employees are rewarded fairly for their contributions while also promoting a culture of growth and development. What Your CTC Could Include Health Insurance — comprehensive coverage for employee and family worth ₹5 lakh annually Retirement Benefits — contributions to Provident Fund and Employee Stock Purchase Plan Flexible Work Hours — options for hybrid work to promote a healthy work-life balance Performance Bonuses — annual bonuses based on individual and company performance Meal Allowances — daily meal subsidies to enhance employee well-being Additional Perks & Benefits Annual Learning Budget — up to ₹25,000 per year for certifications, courses, and conferences Transportation Benefits — reimbursement for commuting costs to and from work Mentorship Programs — access to experienced professionals for career guidance Wellness Programs — initiatives focused on mental and physical health Employee Discounts — special offers on Amazon products and services Career Progression & Salary Growth At Amazon , career progression is supported through clear promotion timelines and regular performance appraisals. Employees can expect an average raise of 10-15% annually, depending on performance and market conditions. The company encourages internal mobility , allowing employees to explore different roles within the organization, fostering a culture of rapid career advancement . NexisGrow.com tip: When negotiating your salary, emphasize your unique skills and contributions, and be prepared to discuss industry benchmarks. Selection Process The hiring philosophy at Amazon emphasizes finding candidates who not only possess the required skills but also align with the company's core values and culture. The selection process for the Business Intelligence Engineer II, Ad Sales DIGI role is designed to be thorough and fair, ensuring that the best candidates are chosen. 1 Round 1: Application Screening — Initial review of applications to assess qualifications and fit for the role. 2 Round 2: Technical Interview — Focused on data analysis skills, SQL proficiency, and problem-solving capabilities. 3 Round 3: Behavioral Interview — Evaluates cultural fit and alignment with Amazon's leadership principles. 4 Final Stage: Offer Presentation — Presentation of the job offer followed by a background check process. What Each Round Tests Round 1 assesses your qualifications and overall fit for the Business Intelligence Engineer II role. Round 2 tests your technical abilities, focusing on your data analysis skills and SQL knowledge. Round 3 evaluates your behavioral competencies and how well you align with the company's values. Timeline & Expectations The entire selection process typically takes 4-6 weeks from application submission to final offer. Candidates can expect timely communication regarding their application status and next steps throughout the process. Interview Prep Tip: Familiarize yourself with Amazon's leadership principles, as they play a crucial role in the interview process. Frequently Asked Questions Interview · Role · Salary · Growth ? What are the eligibility criteria for the Business Intelligence Engineer II role at Amazon? Eligibility Tap to expand + Answer Candidates must have a Bachelor's or Master's degree in a relevant field, with eligibility for batches 2023-2026, and can be freshers or have up to 2 years of experience. ? What is the interview process for Business Intelligence Engineer II at Amazon? Interview Tap to expand + Answer The interview process includes an initial screening, a technical interview assessing SQL and analytical skills, followed by a behavioral interview focused on cultural fit. ? What technologies and tools will I work with? Tech Stack Tap to expand + Answer You will primarily work with SQL, Python, Tableau, QuickSight, and data processing tools like Redshift and Oracle to analyze and visualize data. ? What is the salary and compensation for this role? Salary Tap to expand + Answer The salary ranges from ₹18 to ₹28 LPA, with opportunities for performance bonuses and career growth based on individual contributions. ? Is this role work from home, hybrid, or onsite? Work Mode Tap to expand + Answer This role is primarily onsite in Bengaluru, with potential for hybrid work arrangements depending on team needs. ? What is the career growth path after joining Amazon as a Business Intelligence Engineer II? Growth Tap to expand + Answer Within 6-12 months, you can expect to take on more complex projects, with opportunities for promotions and role expansions in 2-3 years. ? How should I prepare for the Business Intelligence Engineer II interview at Amazon? Preparation Tap to expand + Answer Focus on honing your SQL and Python skills, familiarize yourself with data modeling concepts, and prepare to discuss your past projects and problem-solving experiences. ? How do I apply and what documents are needed? Application Tap to expand + Answer Apply through the official Amazon career link, ensuring your resume highlights relevant skills and projects in data analytics. ? Is there a probation period and what does it involve? Probation Tap to expand + Answer Yes, there is a standard probation period of 3-6 months, during which performance will be evaluated based on set objectives. ? What is the work culture like at Amazon? Culture Tap to expand + Answer Amazon promotes a culture of innovation, collaboration, and continuous learning, with a strong emphasis on diversity and inclusion in team dynamics. 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