At a Glance
- Tasks: Analyse data to create insights and support decision-making processes.
- Company: Join Amazon's dynamic Transportation Service team.
- Benefits: Access to mentorship, career development, and a collaborative work environment.
- Other info: Diverse team culture with a focus on safety and growth opportunities.
- Why this job: Make a real impact by driving efficiency and innovation at Amazon.
- Qualifications: Experience in data analytics and proficiency in MS Office.
The predicted salary is between 40500 - 49500 £ per year.
The TOM team is looking for a hands-on, detail oriented and highly motivated Data Analyst to help create data backed insights.
The data analyst will be responsible to analyze data to support support programs, dig deep into data to determine root cause of defects, build and maintain decision support tools, and present findings to business partners.
In addition the Data Analyst will also be responsible for maintaining key metrics for business reviews., Assist in retrieving and aggregating data from multiple sources to support decision-making processes
- Help maintain and review KPIs on a daily, weekly, and monthly basis
- Support with basic data requests
- Contribute to data analysis that informs recommendations for leadership
- Participate in data mining and basic problem-solving tasks
- A day in the life
This position is office-based.
Every day is different in this role.
The work you'll conduct is both proactive and reactive, requiring you to analyse and work quickly to resolve any operational issues.
You will find improvement opportunities and implement them in the network.
If you're looking to develop your career, you'll be able to access development and mentorship opportunities to help you progress at Amazon.
Based at one of our sites, you'll be where the action is and work in an environment that encourages collaboration with a variety of internal and external stakeholders.
By tapping into the latest performance indicators and metrics, you'll help us unlock our network's full potential.
About the team
Amazon couldn't deliver at pace without the Amazon Transportation Service (ATS) team.
As part of ATS, you'll be welcomed into a diverse team that plays a central role in our success.
Using air, sea and road transport, as well as sortation centres equipped with the latest technology, you'll help Amazon's transport run at maximum efficiency.
Our team captures data and uses it to drive decisions.
They are key to making Amazon more innovative and efficient.
We put safety first as our people are our priority. And we use the expertise of our people to get packages to their destination - quickly, conveniently and sustainably.
- Speak, write, and read fluently in English
- Experience working with data analytics and using these metrics to identify problems
- Experience working with the MS Office suite (Word, Excel, Outlook) in a professional environment, Preferred qualifications are not required to apply for a position at Amazon.
If you have all the basic qualifications above, we'd love to hear from you.
- Ability to work in a team environment
- Problem solving experience
- Ability to work independently
- Experience with basic data analysis and reporting
- Knowledge of Amazon systems and processes
- Strong organizational skills
- Interest in learning new technical tools
- Basic understanding of data visualization concepts
- Ability to maintain attention to detail
- Good communication skills
Amazon is an equal opportunities employer.
We believe passionately that employing a diverse workforce is central to our success.
We make recruiting decisions based on your experience and skills.
We value your passion to discover, invent, simplify and build.
Protecting your privacy and the security of your data is a longstanding top priority for Amazon.
Please consult your Privacy Notice (https://www. amazon. jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
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Data Analyst employer: Amazon.com, Inc
Amazon is an exceptional employer, offering a dynamic work environment in the heart of London that fosters innovation and collaboration. As a Transfer Pricing Manager, you will benefit from a culture that values diversity and encourages professional growth through continuous learning and development opportunities. With a focus on meaningful work and a commitment to employee well-being, Amazon provides a unique platform for you to thrive in your career while making a significant impact in the EMEA region.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
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We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Amazon.com, Inc, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Amazon.com, Inc!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
