Amazon Data Analyst Job Openings 2025 | Bengaluru

Qualifications

• Bachelor’s Degree
• Knowledge of data pipelining and extraction using SQL
• Knowledge of SQL and Excel at a moderate or advanced level
• Experience with data mining tools like SQL, SAS, SPSS, or similar
• 1+ years of data analytics or automation experience
• 1+ years of capacity planning, operations planning, business analysis or similar experience
• Strong SQL Knowledge and Hands-on experience in excel
• Preferred: 2+ years of data analytics or automation experience

Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. Skills Required:

• Strong SQL Knowledge and Hands-on experience.
• Highly proficient in Microsoft Office and Windows based applications.
• Demonstrated Analytical ability, results-oriented environment with external customer interaction.
• Excellent written and verbal communication and presentation skills and the ability to express thoughts logically and succinctly.

Preferred:

• Minimum 2+ years of experience as an Analyst role preferred
• Proficiency with visualization tools like Tableau
• Understanding of data warehousing, data modeling concept and building new DW tables
• Advanced SQL skills, fluent in R and/or Python, advanced Microsoft Office skills, particularly Excel and analytical platforms

Key Job Responsibilities:

Own & manage onboard, access & data management process for Premium Seller partners. Work closely with Program/Product/Business managers and internal/external stakeholders to understand business requirements and work on solutions with data and insights support.

• Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format Put on your business thinking cap to drive insights and action we can take to improve the business Measure the metrics of our business and propose/implement projects to improve these metrics.
• Ensure KPIs are published and reviewed on a daily, weekly, monthly basis and perform analysis on any behaviours / processes that could impact on data integrity.