🏢 Company Overview:
Amazon is a global leader in e-commerce, cloud computing, and AI-driven solutions. The company leverages data to drive business decisions, enhance customer experiences, and optimize operations worldwide. Amazon fosters a culture of innovation, collaboration, and professional growth for its employees.
💼 Job Details:
- Employment type: Full Time
- Experience: 2 Years
- Salary: ₹20,000 – ₹35,000 monthly
- Location: Work For Home
- Work timing: 9:45 AM to 6:45 PM IST
- Working Days: 5 Days
- Education: Any Degree
📝 Job Description:
Amazon is seeking a skilled Data Analytics Specialist to analyze large datasets, generate actionable insights, and support strategic business decisions. The ideal candidate will have experience in data visualization, statistical analysis, and business intelligence tools, and will work closely with cross-functional teams to identify trends and opportunities.
🔑 Key Responsibilities:
- Collect, clean, and analyze large datasets to provide actionable insights
- Develop and maintain dashboards, reports, and visualizations using BI tools
- Collaborate with business stakeholders to understand analytical requirements
- Identify trends, patterns, and anomalies to support decision-making
- Ensure data quality, accuracy, and integrity across all analyses
- Communicate findings clearly to technical and non-technical teams
🛠️ Required Skills & Qualifications:
- Proficiency in SQL, Excel, and data visualization tools (e.g., Tableau, Power BI)
- Strong analytical and problem-solving skills
- Experience with statistical analysis and data modeling
- Knowledge of programming languages like Python or R is a plus
- Strong communication and presentation skills
- Ability to work independently and collaboratively in a fast-paced environment
- Bachelor’s degree in Statistics, Mathematics, Computer Science, or related field
🌟 Benefits:
- Opportunity to work with large-scale global datasets
- Exposure to innovative projects and cutting-edge tools
- Flexible work arrangements including remote and hybrid options
- Collaborative and growth-oriented work environment
- Professional development and continuous learning opportunities
