Role Description:

• Business Analyst position is focused on developing analytical solutions

• Responsible for managing large datasets and providing business insights

• Transforms data into actionable business information

• Designs and implements analytics solutions

• Works with stakeholders worldwide to drive business impact

Skills of a successful Business Analyst:

• Strong SQL and data analytics capabilities

• Excellence in data visualization and dashboard creation

• Advanced Excel skills (VBA, pivot tables, power pivots)

• Strong stakeholder management abilities

• Problem-solving and analytical thinking

• Communication and presentation skills

• Ability to handle ambiguity

Competencies:

Must Haves:

• Analytical experience

• Proficiency in SQL

• Strong data visualization skills

• Stakeholder management experience

• Excel expertise

Good to Have:

• Experience with large-scale data sets

• Knowledge of metadata modeling

• Pipeline monitoring experience

• Business domain knowledge

• Experience with multiple analytics tools

Why is this role difficult to hire:

• Rare combination of technical and business skills required

• Need for both analytical and communication capabilities

• High demand for experienced analysts in the market

• Complex technical requirements (SQL, data visualization, Excel)

• Competition from other tech companies (like Flipkart, Uber, Ola)

Why are Business Analysts critical at Amazon:

• Drive data-driven decision making

• Provide crucial insights into operations health

• Transform complex data into actionable business information

• Enable stakeholders worldwide to access and understand data

• Support business growth through analytical solutions

• Help identify trends, patterns, and improvement opportunities

A day in the life:

• Creating and managing datasets

• Building and maintaining dashboards

• Conducting deep dive analyses

• Meeting with stakeholders to gather requirements

• Monitoring data pipelines

• Optimizing query performance

• Creating visualizations and reports

• Presenting insights to business leaders

• Making data-driven recommendations

• Collaborating with technical teams

• Working on metadata modeling

• Managing competing priorities in an agile environment