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Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

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Job Information

Amazon Sr. Business Intelligence Engineer, Partner Intelligence in Dallas, Texas

Description

We are a dynamic and innovative team within AWS Partner Intelligence, dedicated to driving excellence in business intelligence and analytics. Our mission is to empower internal stakeholders with the insights and tools they need to thrive in the rapidly evolving digital landscape. As part of our team, you'll have the opportunity to collaborate with internal stakeholders from the AWS Partner Organization, leveraging cutting-edge technologies and methodologies to help shape the future of business intelligence at AWS.

10010

Key job responsibilities

  • Be a strategic leader in creating mechanisms and establishing best practices

  • Create source-of-truth datasets using SQL

  • Work with stakeholders to identify business reporting needs

  • Design, develop, and maintain data visualizations using Amazon Quicksight

  • Improve existing reporting by developing automated solutions and creating actionable insights

About the team

The Consulting and Industry BI team sits within the AWS Partner Intelligence Organization. We specialize in creating source-of-truth reporting and delivering actionable insights for sales operations teams focused on delivering results for a designated list of external consulting partners.

We are open to hiring candidates to work out of one of the following locations:

Arlington, VA, USA | Atlanta, GA, USA | Austin, TX, USA | Dallas, TX, USA | Houston, TX, USA | Jersey City, NJ, USA | San Diego, CA, USA | Seattle, WA, USA

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 with theory and practice of design of experiments and statistical analysis of results

  • Experience with AWS technologies

  • Experience with theory and practice of information retrieval, data science, machine learning and data mining

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

Preferred Qualifications

  • Master's degree in statistics, data science, or an equivalent quantitative field

  • Experience building measures and metrics, and developing reporting solutions

  • Knowledge of data modeling and data pipeline design

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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $104,300/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. Applicants should apply via our internal or external career site.

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