Amazon

DESCRIPTION

Are you passionate about leveraging data to deliver actionable insights that impact the daily business decisions of AWS? Do you want to have an impact on making strategic deals come to life? Are you excited to solve business challenges through data analytics and business intelligence (BI) solutions?

If so, we are looking for a Sr. Business Intelligence Analyst to join the Deal Tooling and Insights team to help solve business challenges within AWS. The Deal Tooling and Insights team provides tools, process monitoring, and bespoke analysis to our internal customers and helps them meet their desired business outcomes while ensuring alignment with AWS business objectives.

In this role, you will partner with Product Managers, Data Engineers, and internal customers to transform business requirements into actionable solutions by leveraging your analytical expertise. Your responsibilities will include building analytical models that track engagement outcomes, creating intuitive self-service dashboards and visualizations to track business metrics, and implementing automation solutions that drive process improvements across the organization.

Successful candidates must have the ability to collaborate effectively across multiple technical and non-technical business units to deliver successfully against the highest standards. The ideal candidate will have strong technical skills with business acumen and be detail-oriented with excellent analytical problem-solving skills. A keen sense of end-to-end ownership, drive, and scrappiness is a must.

Key job responsibilities

In this role:

• You will harness your business and technical skills to understand business requirements, conduct data analysis and provide actionable data-driven insights and decision support to senior leadership.
• You will establish automated processes for large scale data analyses and create new metrics to measure the health of the business, support business strategy and enable the broader team to achieve its goals.
• You will drive the development of new data enrichment tools and self-service reporting mechanisms to help scale and optimize the reporting processes across the organization.
• You will work with Data Engineers, Product Managers and other stakeholders to find ways to measure complex problems and help quantify business impact of various initiatives.
• You will communicate complex analytical results in a clear and easy-to-understand way and will drive towards simple, scalable solutions to difficult problems while considering edge cases and different tradeoffs.

About the team

Why AWS

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.

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 in the cloud.

Inclusive Team Culture

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.

Mentorship and 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.

BASIC QUALIFICATIONS

• 10+ years of professional or military experience
• 5+ years of SQL experience
• Experience programming to extract, transform and clean large (multi-TB) data sets
• Experience in scripting for automation (e.g. Python) and advanced SQL skills.
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience integrating multiple loosely connected datasets to tell a consistent end-to-end story

PREFERRED QUALIFICATIONS

• Experience working directly with business stakeholders to translate between data and business needs
• Experience managing, analyzing and communicating results to senior leadership
• Experience in the application of GenAI technologies to drive operational efficiencies and speed to insights
• Experience with theory and practice of information retrieval, data science, machine learning and data mining
• Experience with theory and practice of design of experiments and statistical analysis of results

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.