Amazon hires exciting Data Analyst job in Bangalore 2024.

Amazon is hiring for a Data Analyst job in Bangalore 2024. Both Freshers and Experienced candidates must apply for this position and Grab this opportunity.

Hello Data Folks, This is the great opportunity for all the individuals who have interest in Data Science domain, must start a job at Amazon for the position of Data Analyst in Bangalore. If you are someone who is interested in this Job role must read there all responsibilities and requirements. And If you are someone who is looking for Data Analyst Job in Bangalore or some other opportunities in Data Sector, must Subscribe to our Web Notification or follow us on other social media handles.

About Company

Amazon.com, Inc., commonly known as Amazon, is a major American multinational technology company. Founded by Jeff Bezos on July 5, 1994, Amazon started as an online bookstore but has since expanded into a vast array of sectors including e-commerce, cloud computing, digital streaming, and artificial intelligence. Known for its customer-centric approach, Amazon offers a wide range of products and services such as Amazon Prime, Amazon Web Services (AWS), Kindle, and Alexa. The company is also recognized for its innovative technologies like 1-Click shopping and Just Walk Out technology. Headquartered in Seattle, Washington, Amazon aims to be Earth’s most customer-centric company, best employer, and safest place to work.

About Job Role

We are looking for highly motivated and talented candidates who will provide and/or review high quality data annotation for variety of workflows. The ideal candidate must demonstrate strong analytical & communication skills, attention to details, and a commitment to excellence.

Responsibilities

As a Data Associate I, ML, you will be responsible for providing timely and quality data annotation for a variety of workflows. The tasks therefore will be repetitive in nature and will require the candidate to make quick decisions keeping in mind the provided guidelines. Your key responsibilities will include (but not limited to) the below:

• Meets business metrics and goals, i.e., SLA, production, and quality targets.
• Works with minimal direction.
• Maintains records of day- to-day work by updating trackers or workflow tools as necessary.
• Follows SOP/guidelines or manager’s instructions and ensures output is quality compliant
• Contributes to project improvement and operational excellence ideas, as applicable.
• Responsible for giving timely responses to stakeholders on related tasks with guidance, i.e., as per SOP and defined SLA.
• Proactively raises issues /alarms that may have an impact on core deliverables or operations to manager or stakeholders.
• Analyzes data and evaluate trends/ patterns and recommend generic pattern to be translated into rules.
• Willingness to work with sensitive issues, including but not limited to: Adult content, Religious and philosophically sensitive issues, tobacco, weapons and other potentially offensive products
• Troubleshooting issues related to process and conduct root cause analysis if required.
• Familiarity with online retail (e-commerce).

Requirements

• Bachelor’s degree.
• Speak, write, and read fluently in English.
• Experience with Microsoft Office products and applications.
• Knowledge of Excel at an advanced level.

Why Join Amazon?

• Having a position like a Data Analyst in Amazon is a dream one can’t give up on without trying to realize it.
• The reason is simple; given the nature of Amazon as a tech giant whose business model borders around innovation and more of a customer inclined model, the company is hard to let pass.
• Within the Human Labeled Data (HLD) section of Amazon, data analysts are critical players in improving Amazon Search services and as a result customer satisfaction.
• The current data analyst job focuses on working together with the machine learning and AI squads to ensure productive and high-quality data annotation exercise to help sustain the evolution of Amazon’s AIs and ML systems used for searching, matching images semantically and processing visuals.
• The company has developed a reputation for being one characterized by vibrant and energetic performance, which embraces creativity and learning.
• This environment benefits the data analysts as it allows them to have a practical involvement with modern technologies and methods which enhance the analysis alongside the programming skills. Moreover, Amazon has a strong culture of delivering results which suits people who love paying attention to details, who have an analytical mindset, and above all who are quality conscious in their work.
• There is also assurance that resources and training for employee development will also be made available to this data analyst position so that there will be no stagnation of growth in skills and even careers.
• With competitive compensation and benefits, including attractive data analyst salary packages, Amazon provides an environment where talented professionals can thrive, build their expertise, and contribute to projects that influence millions of customers worldwide.
• There is more to working with Amazon than just the appealing aspect of getting a job; there is the opportunity to effect changes in such an organization at a worldwide scale.

Career Growth and Opportunities

• Amazon provides substantial career growth and opportunities for those pursuing a Data Analyst job, creating a strong foundation for skill development and career advancement.
• This exposure helps to get into contact with the applied and advanced science as well machine learning teams which have to do with the latest technology on matching ranking or image.
• The growth of careers within Amazon is fostered encouragingly through learning activities and therefore the employees are able to acquire technical skills and analytical skills as well in a fast dynamic environment.
• In this regard, as an Amazon Data Analyst, one will be going through Human Labeled Data (HLD) which is essential in enhancing the data annotation accurate enough to ensure ML/AI models in the Search services by Amazon work effectively.
• Data analysts who wish to apply their skills are encouraged to take on ambitious projects that can improve customer experience, thanks to Amazon’s team spirit that promotes initiative and innovativeness.
• In addition, because Amazon encourages operational excellence and flushing out waste, the position of a data analyst will also entail engaging in process improvement and recommending changes which are useful work experience for earning potential and career prospects as a data analyst salary.
• Culture at amazon appreciably encourages vertical mobility as there are frequent interactions across different departments that provide rich nurturing of soft skills.
• With Amazon’s strong focus on growth, a Data Analyst is well-positioned to advance within the organization, leveraging Amazon’s broad resources, industry-leading practices, and a commitment to innovation.

Industry Impact of the Role

• The Data Analyst job at Amazon plays a crucial role in enhancing the online retail experience by directly contributing to Amazon’s Search services, a core function that impacts millions of users globally.
• It is these models which only enhance inbuilt searching, rank verification and image processing features available for product searches for the benefit of the customers.
• Data Analysts are involved in human labeling processes too and this work is essential because it improves the quality of artificial and machine learning at Amazon.
• As a result of these contributing data processes, Data Analysts also help Amazon in this competitive e-commerce space within which they able to demonstrate their skills due to the importance of data quality in running the business.
• Given these responsibilities, this position promotes the provision of quality data with the right scaling as envisaged by Amazon.
• Additionally, it also encourages the enhancement of customer experience by priding oneself and the organization on providing precise and quick search results.
• In addition, all these attributes can greatly add into the career growth of a Data Analyst, giving him or her important tools that can increase his or her value in the marketplace in terms of data analyst salary as he or she progresses in the career.

Learning and Development Opportunities

• Amazon provides exceptional learning and development opportunities for individuals in a Data Analyst job, helping employees continuously enhance their skills and career potential.
• As part of Amazon’s innovative team, Data Analysts are exposed to advanced data annotation workflows that directly contribute to improving Amazon’s AI and machine learning (ML) models.
• This hands-on experience with AI/ML technologies fosters strong analytical skills and provides an in-depth understanding of high-quality data processing at scale.
• Employees benefit from Amazon’s supportive environment, where continuous training and access to resources like advanced Excel skills and Microsoft Office applications are encouraged.
• Amazon also emphasizes operational excellence, giving team members the chance to contribute to process improvements and gain insights into e-commerce and online retail, which are valuable assets in a competitive data analyst career path.
• Amazon’s commitment to professional growth ensures that each Data Analyst can build a rewarding career within the company, with potential for advancement and competitive data analyst salary options.
• Amazon’s collaborative environment and focus on personal development make it an ideal workplace for Data Analysts aiming to excel in a dynamic industry.

Application Tips and Common Mistakes

• Before applying to the job post, make sure that your resume serves its purpose by showcasing relevant skills including Excel, MS Office is crucial.
• Make sure that you should customize your resume before applying particular job role and also add the relevant skills mentioned in Job description without any failure.
• Finally, always remember that your resume fulfills the expectations of the job description and also showcase your project work very well in your resume.

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🔴 Note : ⤵️

• Read all criteria and information carefully and make changes in resume according to that by adding relevant keywords so that their are more changes to get an interview call, otherwise you will lose an opportunity.
• So make sure that read all the info and then proceed to apply.
• This all the job description we are taken from company’s official Page, so do check it.
• Check salary(given salaries are according to Glassdoor & Ambition-box), qualification and other details on the company’s official website as well.
• Before applying check once the company’s profile and what company actually do and which role they are hiring.

✅Best of luck👍 and have a Great future ahead.✨

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👨‍💼About the Author ⤵️

Rishikesh Deshmukh

I am working with a dedicated team of experts committed to helping job seekers find a right job opportunities in Data Domain Sectors. We aim to match job seekers with latest job openings in Data Domain.