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Description

Amazon Web Services is seeking a Senior Business Intelligence Engineer for Infrastructure central finance (ICF) team. As an Amazon Senior Business Intelligence Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. You will find that there is an unlimited number of opportunities within Amazon, where developing your career across a wide range of teams is highly supported. We are committed to making your work experience as enjoyable as the experiences you’ll be creating for our customers.

Key job responsibilities

• You will utilize your deep expertise in business analysis, metrics, reporting, and analytic tools/languages like SQL, Excel, and others, to translate data into meaningful insights through collaboration with finance, software engineers, data engineers and business analysts.

• You will have end-to-end ownership of operational, financial, and technical aspects of the insights you are building for the business, and will play an integral role in strategic decision-making.

• Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership

• Produce written recommendations and insights that will help shape effective metric development and reporting for key stakeholders

• Simplify and automate reporting, audits and other data-driven activities; build solutions to have maxi-mum scale and self-service ability by stakeholders

• Partner with Engineering teams to enhance data infrastructure, data availability, and broad access to customer insights

• To develop and drive best practices in reporting and analysis: data integrity, test design, analysis, vali-dation, and documentation

• Learn new technology and techniques to meaningfully support product and process innovation

Basic Qualifications

• 7+ years of professional experience

• 5+ years of SQL experience

• Proficient in theories, experimental design and statistical a concept for deriving insights form large – scale data analysis

• Experience in scripting for automation (e.g. Python) and advanced SQL skills.

• Ability to operate successfully and independently in a fast-paced environment.

• Comfort with ambiguity and eagerness to learn new skills.

• Bachelor’s degree in Statistics, Economics, Math, Finance, Engineering, Computer Science, Information Sys-tems, or a related quantitative field.

Preferred Qualifications

• Experience managing, analyzing and communicating results to senior leadership

• Experience in working directly with business stakeholders to translate between data and business needs

• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift

• Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

• Experience managing, analyzing and communicating results to senior leadership

• Experience programming to extract, transform and clean large (multi-TB) data sets

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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.