At a Glance
- Tasks: Analyse data to solve business problems and improve customer experience.
- Company: Join Amazon, a global leader in e-commerce and technology.
- Benefits: Enjoy flexible work options, competitive pay, and growth opportunities.
- Why this job: Be part of a strategic team that directly impacts Amazon's operations worldwide.
- Qualifications: 1+ years of data analysis experience with Excel, SQL, and Python required.
- Other info: Inclusive culture that values diverse perspectives and supports career development.
The predicted salary is between 36000 - 60000 £ per year.
Do you enjoy solving complex business problems, transforming data into information, and using that information to influence business decisions? Are you able to form a picture and tell a story based on what the numbers are saying? Do you have experience joining data sets from disparate sources in order to do so? If so, this opportunity may be for you.
Are you interested in being part of a high visibility, strategic team that directly impacts Amazon worldwide? The IN S&OP team is looking for motivated self-starters that can work in a fast paced, data-driven environment. The successful candidate will be an analytical problem solver, have an extremely high level of customer focus and a passion for process improvement.
As you launch your career as a Business Analyst at Amazon, you will focus on improving the success within Operations fulfillment by analyzing data, discovering and solving real world problem, and building metrics and business cases to improve the customer\’s experience.
The responsibilities include, but not limited to:
• Identify and build data sources
• Extract, manipulate, assess, maintain data quality and convert data to facilitate and conduct analysis
Key job responsibilities
• Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format
• Partnering with other analysts and BI engineers in planning and analytics to build analytical solutions to deliver on business goals
• Propose and implement business metrics for senior management reviews and work with business intelligence and data engineers to design and develop data infrastructure to support business growth
• Perform deep-dives to find the root causes behind variances of key parameters over a given time-period
• Harness data to create business requirements documents and guide actionable technology requests
• Collaborating with cross-functional teams, including finance, supply chain execution, transportation, and others, to identify pain points and opportunities for optimization.
• Conducting in-depth analysis and cost-benefit assessments to evaluate the feasibility and impact of potential initiatives.
• Program manage projects with category teams and drive decision making across cross functional teams and senior leadership acting as a common link between operations and categories.
About the team
The First mile S&OP is responsible for forecasting the volumes on weekly basis for OB, IB, Customer returns, Trans in and Trans out flows (upto 8 weeks). S&OP also owns the demand planning for ES/EF Channel.
Our Forecasting and planning teams work with cross functional collaboration to ensure all possible future external as well as internal factors are taken into consideration while forecasting so that we have the highest accuracy reducing site level churn and increasing efficiency. All flow owners monitors the flow of packages with respect to forecast on daily basis using S&OP deck and take appropriate actions on ground if we see high deviation in volume in comparison to plan which in turn ensure there are no choke points and prevents high backlog on floors which leads to good Customer experience.
BASIC QUALIFICATIONS
– 1+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience
– Bachelor\’s degree or equivalent
– Experience defining requirements and using data and metrics to draw business insights
– Experience creating complex SQL queries joining multiple datasets, ETL DW concepts
– Experience in Excel (macros, index, conditional list, arrays, pivots, lookups)
– Experience scripting for automation (e.g., Python, Perl, Ruby)
– Experience using Python or R for data analysis or statistical tools such as SAS
– Experience using statistical tools such as Minitab
– Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages
– Experience in project management
PREFERRED QUALIFICATIONS
– Experience using very large datasets
– Experience using hard data and metrics to back up assumptions and concepts
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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Business Analyst, IN S&OP employer: Amazon
Contact Detail:
Amazon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Analyst, IN S&OP
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Excel, Tableau, and SQL. Being able to demonstrate your proficiency in these tools during discussions can set you apart from other candidates.
✨Tip Number 2
Prepare to discuss real-world examples where you've successfully analysed data to influence business decisions. This will showcase your analytical skills and ability to turn data into actionable insights.
✨Tip Number 3
Network with current or former employees of Amazon, especially those in similar roles. They can provide valuable insights into the company culture and expectations, which can help you tailor your approach.
✨Tip Number 4
Stay updated on industry trends related to supply chain and operations management. Being knowledgeable about current challenges and innovations can help you engage in meaningful conversations during interviews.
We think you need these skills to ace Business Analyst, IN S&OP
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, project management, and the specific tools mentioned in the job description, such as Excel, SQL, and Python. Use keywords from the job listing to ensure your application stands out.
Craft a Compelling Cover Letter: In your cover letter, tell a story about how your previous experiences have prepared you for this role. Focus on specific examples where you've solved complex business problems or improved processes using data-driven insights.
Showcase Analytical Skills: Provide concrete examples of how you've used data to influence business decisions. Mention any projects where you extracted and manipulated data from multiple sources, and highlight the impact of your findings on the business.
Highlight Collaboration Experience: Since the role involves working with cross-functional teams, emphasise your ability to collaborate effectively. Share instances where you've partnered with other departments to achieve common goals or solve problems.
How to prepare for a job interview at Amazon
✨Showcase Your Analytical Skills
Prepare to discuss specific examples where you've solved complex business problems using data. Be ready to explain your thought process and how you derived insights from the data.
✨Familiarise Yourself with Relevant Tools
Make sure you're comfortable discussing your experience with Excel, SQL, and any data visualisation tools like Tableau or Power BI. Highlight any projects where you've used these tools to drive business decisions.
✨Understand the Business Context
Research Amazon's S&OP processes and be prepared to discuss how your skills can contribute to improving operations. Showing that you understand the company's goals will demonstrate your genuine interest in the role.
✨Prepare for Technical Questions
Expect questions that test your technical knowledge, such as writing SQL queries or explaining data manipulation techniques. Practising these skills beforehand will help you feel more confident during the interview.