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- Tasks: Transform data into insights to enhance employee experiences and support leaders.
- Company: Join Amazon's PATOE team, dedicated to empowering over a million employees globally.
- Benefits: Enjoy a dynamic work environment with opportunities for innovation and growth.
- Why this job: Make a real impact on talent development while collaborating with diverse teams.
- Qualifications: 5+ years in Excel, SQL, Python; Bachelor's in relevant fields required.
- Other info: Inclusive culture that values diverse perspectives and supports workplace accommodations.
The predicted salary is between 36000 - 60000 £ per year.
Business Intelligence Engineer, People Analytics, Technology, and Operations Excellence (PATOE)
Do you have a passion for deriving insights from data to make a difference in people\’s lives? Are you a Day 1 thinker who is passionate about pushing the boundaries of conventional talent development approaches and innovating on behalf of our customers? If so, we would like to hear from you!
PATOE is a centralized technology, data, reporting, and analytics organization that supports over a million employees globally, spanning support across NA Customer Fulfillment, Global Operations Learning & Development and PXT Capability & Impact, and Employee Relations.
We are seeking a seasoned Business Intelligence Engineer for our Reporting and Analytics team to further our mission of building technology and programs that help our more than 1 million employees reach their full potential from onboarding through career advancement. In this role, a BIE will play a pivotal role in designing, executing, and optimizing data solutions to empower our front-line leaders and ensure they are well-equipped to effectively lead the largest hourly population in Amazon.
The ideal candidate will be enthusiastic about translating complex and ambiguous problem statements into actionable solutions, working across Employee Experience and Relations teams worldwide. In this role, you will partner with our program and product managers to consult, prioritize, develop and implement KPIs, and automate reporting processes. Your work will play a major role in devising the team\’s expansion strategy, technical foundation of our ecosystem and scaling our impact across the org. This role provides opportunities to test new approaches and innovate in an exciting, fast-paced environment
Key job responsibilities
• In this role, you will use analytics to enhance our reporting and data product offerings and improve employee experience and relations
• Collaborate with PATOE developers and evaluate internal processes, approaches, and technical systems to establish highest standards and ensure safety for our associates and leaders
• Apply deep analytics and business intelligence skills to extract meaningful insights and learning from large and complicated data sets
• Design, develop and maintain scaled, automated, user-friendly systems, reports and dashboards
• Support cross-functional teams on the day-to-day execution of projects and initiatives
• Deliver business reviews to the senior management team regarding progress and roadblocks
• Serve as liaison between the business and technical teams to achieve the goal of providing actionable insights into current program performance, and ad-hoc investigations to support future improvements or innovations
• Recognize and adopt best practices in reporting and analysis through data integrity, test design, analysis, validation, and documentation
• Conduct advanced statistical analysis to identify trends and opportunities
About the team
This role sits within the larger People Analytics, Technology, and Operations Excellence (PATOE), a team of Engineers, Data Professionals, Product Managers and Scientists supporting People Experience & Technology (PXT) and Operations worldwide. The role will report into Reporting and Analytics team embedded within PATOE and comprised of Business Intelligence Engineers and Business Analysts. We design, build and sustain scalable data products that support Employee Relations, Global Learning & Development, and WW Operations.
BASIC QUALIFICATIONS
– 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
– 5+ years experience with SQL, Python, R
– 3+ years experience working extensively in large scale data bases and data warehouses.
– 3+ years of business or financial analysis experience
– Experience defining requirements and using data and metrics to draw business insights
– Experience in making recommendations and influencing stakeholders
– Bachelor\’s degree in computer science, engineering, mathematics or equivalent
PREFERRED QUALIFICATIONS
– 5+ years of business or financial analysis experience
– 5+ years of development experience in AWS Services
– Experience in customer segmentation, customer behavior analysis, conjoint/trade-off modelling
– Master\’s degree in computer science, engineering, mathematics or equivalent
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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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 Intelligence Engineer, People Analytics, Technology, and Operations Excellence (PATOE) employer: Amazon
Contact Detail:
Amazon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Intelligence Engineer, People Analytics, Technology, and Operations Excellence (PATOE)
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Excel, SQL, and data visualisation tools like Tableau. Being able to demonstrate your proficiency in these areas during discussions can set you apart from other candidates.
✨Tip Number 2
Prepare to discuss your experience with large-scale databases and data warehouses. Think of specific examples where you've successfully extracted insights from complex data sets, as this will showcase your analytical skills and problem-solving abilities.
✨Tip Number 3
Network with current or former employees in similar roles within the company. This can provide you with insider knowledge about the team culture and expectations, which can be invaluable during interviews.
✨Tip Number 4
Stay updated on the latest trends in business intelligence and analytics. Being able to discuss recent developments or innovations in the field can demonstrate your passion and commitment to continuous learning, which is highly valued in this role.
We think you need these skills to ace Business Intelligence Engineer, People Analytics, Technology, and Operations Excellence (PATOE)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the job description. Focus on your expertise in Excel, SQL, Python, and data visualisation tools like Tableau, as these are crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data analytics and how it can impact employee experiences. Mention specific examples of how you've used data to drive insights and improvements in previous roles.
Showcase Your Analytical Skills: Provide concrete examples of past projects where you applied advanced statistical analysis or developed automated reporting systems. This will demonstrate your ability to handle complex data sets and derive actionable insights.
Highlight Collaboration Experience: Since the role involves working with cross-functional teams, emphasise any experience you have in collaborating with technical and business teams. Discuss how you’ve successfully communicated insights and influenced stakeholders in your previous positions.
How to prepare for a job interview at Amazon
✨Showcase Your Analytical Skills
As a Business Intelligence Engineer, you'll need to demonstrate your ability to derive insights from complex data sets. Be prepared to discuss specific examples of how you've used tools like SQL, Python, or Excel to solve problems or improve processes in previous roles.
✨Understand the Role's Impact
Make sure you understand how this role contributes to the overall mission of PATOE. Be ready to explain how your work can enhance employee experience and relations, and think about innovative ways to approach talent development.
✨Prepare for Technical Questions
Expect technical questions related to data visualisation tools like Tableau and your experience with large-scale databases. Brush up on your knowledge of these tools and be ready to discuss your past projects that involved them.
✨Demonstrate Collaboration Skills
This role requires working closely with cross-functional teams. Prepare to share examples of how you've successfully collaborated with others, particularly in delivering business reviews or influencing stakeholders through data-driven insights.
