Amazon is hiring for an entry level Data Analyst job in India

Position:

• Role: Data Analyst, Sales Excellence

Company:

• Name: ASSPL - Karnataka

Location:

• Place: Bengaluru, Karnataka, India

Job type:

• Type: Full-time

Job mode:

• Mode: On-site

Job requisition id:

• ID: 2720709

Years of experience:

• Experience Required: 1+ years in data analytics or related fields

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Company description:

• Industry: E-commerce
• Mission: Amazon is dedicated to being the most customer-centric company on earth, where people can discover virtually anything they wish to purchase online.
• Culture: The company thrives on innovation, flexibility, and passion, striving to deliver unparalleled customer service.
• Values: Amazon values customer obsession, ownership, invent and simplify, are right, a lot, learn and be curious, hire and develop the best, insist on the highest standards, think big, bias for action, frugality, earn trust, dive deep, have backbone; disagree and commit, and deliver results.
• Impact: Amazon aims to continuously evolve its platform to offer better services and products to its vast customer base worldwide, fostering an environment where employees can also grow and excel.
• Opportunities: Working at Amazon offers the chance to be part of a dynamic team, working on cutting-edge projects that impact millions of customers globally.

Profile overview:

• Objective: Seeking a customer-obsessed, flexible, smart, and analytical individual who can balance strategic thinking with execution focus.
• Key Attributes:
  • Passionate about e-commerce and driven by a strong work ethic.
  • Strong understanding of both engineering and business principles.
  • Excellent proficiency in SQL and query development.
  • Adept in business acumen with the ability to collaborate effectively with business, program, and marketing teams.
• Characteristics:
  • Self-starter with a strong attention to detail.
  • Comfortable operating in a fast-paced and dynamic environment.
  • Able to innovate and develop original ideas and solutions.
• Skills Required:
  • Proficient in data analytics and data representation.
  • Ability to work autonomously, taking control and responsibility for achieving objectives.
  • Strong communication skills, capable of conveying complex analysis and insights to stakeholders and business leaders.

Qualifications:

• Basic Qualifications:
  • Minimum of 1+ years of experience in data analytics or automation.
  • At least 1+ years in capacity planning, operations planning, or business analysis.
  • Bachelor’s degree in a relevant field.
  • Proficiency in SQL for data pipelining and extraction.
  • Moderate to advanced skills in SQL and Excel.
  • Experience with data mining tools such as SQL, SAS, SPSS, or similar.
• Preferred Qualifications:
  • Experience within e-commerce, retail, or advertising sectors.
  • Strong analytical and problem-solving skills.
  • Ability to perform deep dives and advanced analytics.
  • Expertise in designing, developing, and maintaining metrics, reports, and dashboards.
  • Capability to retrieve and aggregate data from multiple sources for decision-making.
  • Skilled in identifying process improvement opportunities and implementing scalable solutions.

Additional info:

• Key Responsibilities:
  • Conduct in-depth data analysis using SQL.
  • Highly proficient with MS Excel for various analytical tasks.
  • Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards.
  • Ensure data accuracy by validating new and existing tools.
  • Retrieve and aggregate data from multiple sources into actionable formats.
  • Analyze and solve business problems, focusing on root causes and future opportunities.
  • Identify and implement process improvements for streamlined solutions.
  • Maintain attention to detail while understanding the broader business context.
  • Drive innovation and simplification of current processes and practices.
  • Communicate complex analysis and insights to stakeholders and business leaders.
• Work Environment:
  • Fast-paced and sometimes ambiguous, requiring autonomous work.
  • Opportunity to innovate within a competitive and evolving business environment.
• Growth Opportunities:
  • Develop and implement original ideas and approaches.
  • Engage with various teams to drive key business decisions.
  • Continuous learning and development in a dynamic industry.

Please click here to apply.

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