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- Tasks: Solve complex data problems and enhance Same Day delivery capabilities.
- Company: Join Amazon's innovative team revolutionising customer experience in the EU.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and learning.
- Why this job: Be at the forefront of tech and operations, making a real impact on customer satisfaction.
- Qualifications: Experience with data analysis, visualization tools, and scripting languages required.
- Other info: Amazon values diversity and is committed to an inclusive workplace.
The predicted salary is between 36000 - 60000 £ per year.
The Same Day Speed Innovation team is at the forefront of business growth and innovation in EU. We're revolutionizing the customer experience through faster delivery times and innovative fulfillment solutions. Our team sits at the crucial intersection of technology and operations, driving improvements across the entire Same Day delivery network. We're seeking a senior technical product leader capable of defining and driving product vision while navigating ambiguous problem spaces to enhance our Same Day capabilities.
In this role you will be responsible for solving complex and ambiguous data and metric problems. You will use latest AWS provided Data Analytics and GenAI tools (such as Quicksight, Amazon Q, Sagemaker) to provide business metrics for senior leaders. You should have a track record of end-to-end ownership and successfully delivering results in a fast-paced and dynamic business environment with minimum supervision. You should be able to work on complex initiatives, deal with ambiguity. You will be required to work with senior leaders, product managers, DEX, finance, operations, program managers and other data teams.
Key job responsibilities
- Be highly data driven, resourceful, customer-obsessed and team oriented
- Use latest AWS provided data analytics and GenAI tools (such as Quicksight, Amazon Q, Sagemaker)
- Design, develop, and implement scalable, automated processes for data extraction, processing, and evaluation
- Define data driven approaches and metrics strategy to uncover new insights
- Have a passion for sourcing, manipulating, and visualizing data to tell business stories
- Be able to clearly communicate strategic findings and recommendations
- Translate complex, technical concepts into business terms and vice versa
- Work with engineering and data teams to support the development of tools and dashboards
BASIC QUALIFICATIONS
- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)
- Experience with SQL
- Experience in the data/BI space
PREFERRED QUALIFICATIONS
- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
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. Amazon is committed to a diverse and inclusive workplace.
Business Intelligence Engineer - Same Day, EU Same Day Speed Innovation employer: ENGINEERINGUK
Contact Detail:
ENGINEERINGUK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Intelligence Engineer - Same Day, EU Same Day Speed Innovation
✨Tip Number 1
Familiarise yourself with the latest AWS tools mentioned in the job description, such as Quicksight and Sagemaker. Having hands-on experience or even completing relevant online courses can give you a significant edge during discussions.
✨Tip Number 2
Network with current or former employees of the Same Day Speed Innovation team. Engaging with them on platforms like LinkedIn can provide you with insider insights about the team culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss specific examples of how you've solved complex data problems in previous roles. Being able to articulate your thought process and the impact of your solutions will demonstrate your capability to handle ambiguity effectively.
✨Tip Number 4
Brush up on your data visualisation skills, especially with tools like Tableau or QuickSight. Consider creating a portfolio of your work that showcases your ability to turn data into compelling business stories, as this aligns perfectly with the role's requirements.
We think you need these skills to ace Business Intelligence Engineer - Same Day, EU Same Day Speed Innovation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, AWS tools, and business intelligence. Use keywords from the job description to demonstrate that you meet the qualifications.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data-driven decision-making and how your skills align with the role. Mention specific examples of past projects where you've successfully used data analytics tools.
Showcase Technical Skills: Clearly outline your proficiency with tools like Redshift, Tableau, and Python. Provide examples of how you've used these tools to solve complex problems or improve processes in previous roles.
Prepare for Potential Questions: Anticipate questions related to your experience with data visualisation and statistical methods. Be ready to discuss how you've navigated ambiguity in past projects and the impact of your work on business outcomes.
How to prepare for a job interview at ENGINEERINGUK
✨Showcase Your Data Skills
Be prepared to discuss your experience with data analytics tools like Quicksight and Sagemaker. Highlight specific projects where you used these tools to solve complex problems, as this will demonstrate your technical expertise and ability to drive results.
✨Communicate Clearly
Since you'll be working with senior leaders and various teams, practice translating complex technical concepts into simple business terms. This skill is crucial for ensuring everyone understands your insights and recommendations.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your ability to navigate ambiguity and tackle complex initiatives. Prepare examples from your past experiences where you successfully managed such challenges, showcasing your resourcefulness and analytical thinking.
✨Emphasise Team Collaboration
Highlight your experience working in cross-functional teams. Discuss how you've collaborated with product managers, finance, and operations to achieve common goals, as teamwork is essential in this role.
