Amazon Hiring: Business Analyst II – WW FBA, FBA Analytics 2026:-
Amazon is inviting applications for the position of Business Analyst II – Worldwide Fulfillment by Amazon (WW FBA), FBA Analytics in Bengaluru, Karnataka.
| Company: | Amazon |
| Job Role: | Business Analyst II |
| Job Category: | Business Intelligence |
| Experience: | 3+ years in relevant analytical experience; 5+ years in Excel and data visualization tools |
| Salary: | Competitive compensation |
| Application Deadline: | ASAP |
Role Overview:-
The Business Analyst II will work with Amazon’s FBA Product Analytics team to develop analytical solutions that support business strategy and product improvement.
The role involves analysing large and complex datasets, developing business metrics, creating dashboards, automating reporting processes, and providing insights into the performance of FBA operations.
The selected candidate will collaborate with product managers, business teams, data engineers, and technical stakeholders to understand requirements and develop scalable data solutions.
The position also requires query optimisation, dataset creation, metadata modelling, data pipeline monitoring, and the use of statistical and machine learning techniques to evaluate business and product decisions.
Candidates should be comfortable working in an environment with ambiguity, managing multiple analytical tasks, and translating data findings into clear business recommendations.
Educational Requirements:-
- Bachelor’s degree or equivalent qualification.
- The supplied job description does not specify a mandatory degree specialisation.
- Candidates should have relevant analytical, business intelligence, financial analysis, or data analysis experience.
Key Skills Required:-
1. SQL and Database Skills
- SQL query writing.
- Data extraction and manipulation.
- Query optimisation.
- Large dataset analysis.
- Complex data querying.
- Data validation.
- Data modelling.
- Data pipeline monitoring.
- Data engineering collaboration.
- Business metric documentation.
2. Advanced Excel Skills
- Advanced Microsoft Excel.
- VBA.
- Pivot tables.
- Array functions.
- Power Pivot.
- Large-scale spreadsheet analysis.
- Data manipulation.
- Business reporting.
- Automated Excel reporting.
3. Business Intelligence and Visualization Skills
- Tableau.
- Data visualization.
- Dashboard development.
- Automated reporting.
- Self-service reporting solutions.
- KPI development.
- Business performance tracking.
- Business intelligence tools.
- Data presentation and reporting.
4. Data Analytics and Statistical Skills
- Business analytics.
- Financial analysis.
- Statistical analysis.
- Data interpretation.
- Hypothesis-based analysis.
- Trend analysis.
- Impact measurement.
- Machine learning techniques.
- Business metrics analysis.
- Data-driven decision-making.
5. Business and Functional Skills
- Product analytics.
- Fulfillment by Amazon (FBA) operations.
- Supply chain analytics.
- Business performance analysis.
- Product strategy support.
- Operational analytics.
- Process improvement.
- Business requirement gathering.
- Stakeholder management.
- Business recommendations.
6. AI and Emerging Technology Skills
- Experience working with AI tools.
- Prompt engineering for analytical tasks.
- Setting context for AI-based metric analysis.
- Using AI tools to support business insights.
AI tool experience is listed as a preferred qualification rather than a mandatory requirement.
7. Soft Skills
- Strong analytical thinking.
- Problem-solving abilities.
- Attention to detail.
- Excellent communication.
- Stakeholder influence.
- Business presentation skills.
- Ownership and accountability.
- Ability to work independently.
- Comfort with ambiguity.
- Collaboration with technical and business teams.
- Ability to explain complex data findings clearly.
Roles and Responsibilities:-
1. Business Metrics and Product Strategy
- Develop business metrics to support product strategy.
- Analyse operational performance and business trends.
- Identify opportunities to improve FBA operations.
- Evaluate business performance using data and statistical techniques.
- Provide analytical insights for strategic initiatives.
- Influence product and business decisions through evidence-based recommendations.
2. Data Analysis and Insight Generation
- Analyse large and complex datasets.
- Conduct deep-dive analysis into business and operational performance.
- Transform raw data into actionable business information.
- Identify trends, patterns, and performance gaps.
- Measure the impact of product and policy decisions on business outcomes.
- Use statistical and machine learning techniques to evaluate business performance.
- Communicate findings and recommend actions to stakeholders.
3. SQL and Dataset Development
- Design, create, and manage large datasets.
- Develop complex SQL queries to extract and analyse business data.
- Optimise query performance for large and complex datasets.
- Work with technical teams to develop scalable data solutions.
- Understand key business datasets and their relationships.
- Document the logic used to calculate business metrics.
- Support metadata modelling and data management activities.
4. Dashboard and Automated Reporting
- Develop reports and dashboards for business stakeholders.
- Establish self-service automated reporting processes.
- Build reporting solutions to track business performance.
- Enable stakeholders to explore data and perform deeper analysis.
- Improve the accessibility of business information.
- Monitor reporting accuracy and reliability.
- Support the adoption of analytics and business intelligence solutions.
5. Data Pipeline and Engineering Collaboration
- Partner with data engineers to establish new data pipelines.
- Gather requirements for data integration and reporting solutions.
- Document business metric logic and data requirements.
- Monitor data pipelines and identify potential issues.
- Collaborate with technical teams to build scalable analytical solutions.
- Support data management best practices.
6. Business Recommendations and Stakeholder Management
- Translate analytical findings into actionable recommendations.
- Prepare clear communications explaining recommended business actions.
- Present insights to business and product stakeholders.
- Influence decisions using data and measurable evidence.
- Work with internal programme owners and product teams.
- Gather business requirements and convert them into analytical solutions.
- Support product and operational improvements.
7. Analytics Technology and Process Improvement
- Design and implement new analytical technologies and solutions.
- Encourage the adoption of self-service reporting.
- Promote industry-standard analytics practices.
- Improve existing reporting and data analysis processes.
- Support scalable and efficient business intelligence solutions.
- Identify opportunities to improve operational analytics.
About Amazon:-
Amazon is a global technology and e-commerce company focused on providing a customer-centric shopping and digital services experience.
The company operates a large marketplace that connects sellers and customers across multiple countries. Its business includes e-commerce, cloud computing, digital services, logistics, and supply chain operations.
Amazon continuously develops technology and analytics solutions to improve customer experience, seller performance, operational efficiency, and delivery capabilities.
Amazon Hiring: Business Analyst II – WW FBA, FBA Analytics 2026 | Bengaluru Application Process:-
Apply Link:- Click Here To Apply
Note:- Only the shortlisted candidates will be notified for the further interview process.
