Sr. Business Intelligence Engineer, AWS GDSP A&I

Amazon.com, Inc; Camden Town; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading cloud computing provider in Camden Town is seeking a data analyst to focus on the Private Pricing Program. The role requires deep technical skills and business acumen to provide actionable insights and decision support. Ideal candidates will have experience with AWS technologies, data extraction, statistical analysis, and data visualization tools. This position offers a collaborative work environment with a commitment to work-life balance.

Benefits

Mentorship & Career Growth

Work/Life Balance

Inclusive Team Culture

Qualifications

• Experience programming to extract, transform and clean large data sets.
• Experience with statistical analysis of results.
• Experience in scripting for automation.

Responsibilities

• Extract, transform, and load data from various sources.
• Build and deliver high quality data sets for reporting.
• Automate reporting processes for customer self-service support.

Skills

Data extraction and transformation

Statistical analysis

AWS technologies

Scripting for automation (Python)

Advanced SQL skills

Data visualization (Tableau, Quicksight)

Job description

The AWS Global Deal Strategy and Programs (GDSP) organization is responsible for the Private Pricing Program. The Private Pricing Analytics and Insights (PPA&I) team builds scalable analytical solutions that enable the GDSP organization with actionable insights to make data-driven decisions. This role focuses on analytics related to the Private Pricing Program, requiring deep technical skills, strong business acumen, and an analytical background to provide actionable data-driven insights and decision support. Owning the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs.

Responsibilities

• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using AWS services and internal tools
• Build and deliver high quality data sets to support data scientists and customer reporting needs.
• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
• Translate basic business problem statements into analysis requirements.
• Use analytical and statistical rigor to answer business questions and drive business decisions.
• Find and create ways to measure the customer experience to drive business outcomes.
• Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.
• Write queries and output efficiently, and have in-depth knowledge of the available in area of expertise. Pull the needed with standard query syntax; periodically identify more advanced methods of query optimization. Convert to make it analysis-ready.
• Recognize and adopt best practices in reporting and analysis: integrity, design, analysis, validation, and documentation.
• Troubleshoot operational quality issues.

About the team

At AWS, the Global Deal Strategy and Programs (GDSP) team drives cloud adoption and business growth through innovative pricing strategies. The organization comprises two specialized teams: Strategic Customer Engagements, which guide transformative deals with industry leaders, and Private Pricing Programs & Experiences, which scales and optimizes pricing solutions across our diverse customer base. Within GDSP, you will develop deep expertise in cloud economics, hone your strategic thinking, and directly impact AWS's market leadership while working with technologies and global clients.

Experience and Qualifications

• Experience programming to extract, transform and clean large (multi-TB) data sets
• Experience with theory and practice of design of experiments and statistical analysis of results
• Experience with AWS technologies
• 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 with data visualization using Tableau, Quicksight, or similar tools

Preferred Qualifications

• Experience managing, analyzing and communicating results to senior leadership

Equal Opportunity

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 our 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.

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. Inclusive Team Culture: AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth: 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. Work/Life Balance: 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.