Sr BIE, AWS GDSP 3PX

Sr BIE, AWS GDSP 3PX

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead data-driven discussions and develop actionable insights for Private Pricing strategies.
  • Company: Join AWS, the leading cloud platform known for innovation and excellence.
  • Benefits: Enjoy flexible work-life balance, mentorship, and career growth opportunities.
  • Why this job: Make a real impact by solving complex business challenges with data analytics.
  • Qualifications: Experience in data analysis, automation scripting, and effective communication with stakeholders.
  • Other info: Diverse and inclusive team culture that values unique experiences.

The predicted salary is between 36000 - 60000 £ per year.

Do you share a passion to make customers successful? Do you believe that a deep understanding of customer and business priorities can transform an organization? Are you excited to discover and solve thorny business challenges through data analytics and business intelligence (BI) solutions? Do you thrive in a dynamic environment working with diverse teams cutting across functions, organizations, and cultures to achieve a common goal?

The Private Pricing Analytics and Insights team is a critical part of enabling the AWS Private Pricing business to achieve the highest standards of excellence for WW Commercial Operations. This role, based in London, will focus on Business Analytics and Business Intelligence related to Private Pricing Deals, requiring broad technical skills, strong business acumen and a deep analytical background to provide performance reporting, actionable insights and decision support. In this role, you will partner with Private Pricing leaders and teams by leveraging your analytical expertise to transform business requirements into actionable solutions. You will develop a deep understanding of the AWS Private Pricing business to drive insights that are relevant and actionable.

Your responsibilities will include:

  • Building analytical and forecasting models, creating intuitive self-service dashboards and visualizations, and implementing automation solutions that drive process improvements across the organization.
  • Leading business discussions to share insights, challenge status quo, and provide forward looking recommendations to enable strategic decision making and growth of Private Pricing.
  • Supporting the development of continuously-evolving business analytics and data models, owning the quantitative analysis of the performance of our sales team, customers, deal team, partners, markets, and products/services.
  • Developing a deep understanding of sales metrics, reporting tools, and data structures in order to identify and drive resolution of issues, provide actionable intelligence with existing metrics or identify, develop, and propose new metrics, dashboards, scorecards or new tools.
  • Developing relationships and processes with sales, finance, sales operations, and other functional teams to identify and address reporting issues.
  • Managing and developing analytical tools or reports that automate existing inspection mechanisms such as business reviews, annual planning, and forecasting processes.
  • Creating operational templates and processes to compile and standardize disparate information that drive standardized reporting and metrics tracking.
  • Generating ad-hoc analysis and reports with actionable recommendations based on the needs of the stakeholders, through ad-hoc data retrieval and analysis from data management systems.
  • Creating new mechanisms and business processes that simplify, standardize and enable operational excellence.

The Private Pricing team is instrumental in driving deal strategy, structuring, negotiations, and execution of private deals. Private Pricing deals consist of large, strategic, or highly competitive commercial deals.

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences inspire us to never stop embracing our uniqueness.

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Basic Qualifications

  • Experience with theory and practice of design of experiments and statistical analysis of results.
  • Experience in scripting for automation (e.g. Python) and advanced SQL skills.
  • Experience with theory and practice of information retrieval, data science, machine learning and data mining.
  • Experience working directly with business stakeholders to translate between data and business needs.
  • Experience with data visualization using Tableau, Quicksight, or similar tools.

Preferred Qualifications

  • Experience managing, analyzing and communicating results to senior leadership.
  • Experience working in a sales organization.
  • Experience integrating multiple loosely connected datasets to tell a consistent end-to-end story.
  • Experience in the application of GenAI technologies to drive operational efficiencies and speed to insights.

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.

Sr BIE, AWS GDSP 3PX employer: Amazon

At AWS, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises employee growth and work-life balance. Located in the vibrant city of London, our team thrives on collaboration and innovation, offering unique opportunities for mentorship and professional development while tackling complex business challenges through data analytics. Join us to be part of a diverse team that values your contributions and empowers you to make a meaningful impact.
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Contact Detail:

Amazon Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Sr BIE, AWS GDSP 3PX

✨Tip Number 1

Network like a pro! Reach out to current or former employees at AWS through LinkedIn. Ask them about their experiences and any tips they might have for landing a role in the Private Pricing Analytics team.

✨Tip Number 2

Prepare for your interviews by brushing up on your data analytics skills. Be ready to discuss how you've used data to solve business problems in the past. We want to see how you can 'tell the story' of the data!

✨Tip Number 3

Show off your technical skills! If you’ve worked with tools like Python, SQL, or Tableau, be sure to highlight that experience. Create a portfolio of projects that demonstrate your analytical prowess.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the AWS team and contributing to our mission.

We think you need these skills to ace Sr BIE, AWS GDSP 3PX

Data Analytics
Business Intelligence
Analytical Skills
Technical Skills
Business Acumen
Performance Reporting
Forecasting Models
Data Visualisation
Automation Solutions
Communication Skills
SQL
Python
Data Science
Machine Learning
Stakeholder Management

Some tips for your application 🫡

Show Your Passion: Let us see your enthusiasm for making customers successful! In your application, share specific examples of how you've tackled business challenges through data analytics. This will help us understand your drive and commitment.

Tailor Your Application: Make sure to customise your CV and cover letter to highlight your relevant skills and experiences. We want to see how your background aligns with the role of Sr BIE and the unique challenges of AWS Private Pricing.

Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your analytical expertise and how it can benefit our team. Remember, we appreciate a good story, so make yours engaging!

Apply Through Our Website: Don’t forget to submit your application through our official website! It’s the best way for us to receive your details and ensure you’re considered for this exciting opportunity.

How to prepare for a job interview at Amazon

✨Know Your Data

Before the interview, dive deep into the data analytics and business intelligence aspects of the role. Familiarise yourself with AWS's Private Pricing business and think about how you can leverage data to drive insights. Be ready to discuss specific examples where you've used data to solve complex problems.

✨Showcase Your Technical Skills

Brush up on your scripting skills, especially in Python and SQL. Prepare to demonstrate your experience with data visualisation tools like Tableau or Quicksight. You might be asked to explain how you've automated processes or created dashboards in previous roles, so have those examples ready!

✨Communicate Effectively

This role requires collaboration across various teams, so practice articulating your thoughts clearly. Think about how you can translate technical jargon into business language. During the interview, aim to 'tell the story' of your data in a way that resonates with both technical and non-technical stakeholders.

✨Prepare for Scenario Questions

Expect questions that assess your problem-solving abilities in ambiguous situations. Prepare to discuss how you've tackled challenges in past roles, particularly those involving sales metrics or reporting issues. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.

Sr BIE, AWS GDSP 3PX
Amazon
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  • Sr BIE, AWS GDSP 3PX

    Full-Time
    36000 - 60000 £ / year (est.)
  • A

    Amazon

    10000+
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