🏢 Company Overview:
Amazon is a global leader in e-commerce, cloud computing, and AI-driven solutions. The company is committed to leveraging data to drive business decisions, optimize operations, and enhance customer experiences. Amazon fosters a collaborative and innovative work environment, providing opportunities for professional growth and advanced analytics work.
💼 Job Details:
- Employment type: Full Time
- Experience: 4+ Years
- Salary: ₹35,000 – ₹50,000 monthly
- Location: Remote
- Work timing: 9:15 AM to 6:15 PM IST
- Working Days: 5 Days
- Education: Any Degree
📝 Job Description:
Amazon is seeking a Senior Data Analyst to provide actionable insights from large datasets, support business strategy, and improve operational efficiency. The ideal candidate will have strong analytical skills, expertise in data visualization, and experience with advanced data analysis tools.
🔑 Key Responsibilities:
- Analyze complex datasets to identify trends, patterns, and insights
- Create dashboards and visualizations to communicate findings effectively
- Collaborate with cross-functional teams to support decision-making
- Develop and maintain reporting solutions for various business units
- Identify opportunities for process improvements and operational efficiencies
- Ensure data accuracy, consistency, and integrity
🛠️ Required Skills & Qualifications:
- Strong proficiency in SQL, Excel, and data visualization tools (Tableau, Power BI, etc.)
- Experience with statistical analysis and data modeling
- Familiarity with programming languages such as Python or R
- Strong problem-solving and analytical skills
- Ability to interpret data and communicate insights clearly to stakeholders
- Excellent teamwork and communication abilities
- Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or related field
🌟 Benefits:
- Opportunity to work with large-scale data and advanced analytics projects
- Flexible work arrangements (remote/hybrid options)
- Collaborative and growth-focused work environment
- Professional development and continuous learning opportunities
