Amazon
Global Business Intelligence Engineer, AWS Training & Certification
Amazon, Herndon, Virginia, United States, 22070
AWS Training & Certification is on the lookout for a passionate and analytical Business Intelligence Engineer. If you're excited about using data analytics to drive impactful decision-making, this role is perfect for you. We need someone who thrives at the intersection of data engineering, business intelligence, and business analysis.
As a Business Intelligence Engineer, you will:
Manage Data Structure:
Collaborate with other BIEs across AWS T&C and beyond to assess current data stores, identify gaps, and enhance reporting capabilities. Deliver Data Insights:
Lead the design, development, and maintenance of metrics, reports, analyses, and dashboards to support key business decisions. Provide recommendations to improve operational and quality metrics. Enable Data Self-Service:
Create and support reporting platforms that empower business teams with easy access to large datasets, utilizing data visualization tools. Influence Leadership:
Present findings and insights to senior leaders in a manner that impacts strategic decision-making. Manage Diverse Stakeholders:
Engage various stakeholders to understand their needs and propose effective business intelligence solutions, contributing to both tactical and strategic planning discussions. Conduct Ad Hoc Analysis:
Write SQL queries to extract data from various databases and perform analyses to support the broader organization. Join our Core Curriculum team within AWS Training and Certification, where we develop a diverse range of cloud training content catering to learners in multiple languages. Be part of our journey as we explore innovative solutions in the realm of AI and automation to enhance our offerings. AWS values diverse experiences and we encourage all candidates to apply, regardless of background. We believe that inclusion fuels innovation. Our ongoing commitment to learning and mentorship will help you grow your career while maintaining a healthy work-life balance. Basic Qualifications: 5+ years of experience analyzing and interpreting data with Redshift, Oracle, NoSQL, etc. Proficiency in data visualization tools such as Tableau, Quicksight, or similar solutions. Experience in data modeling, warehousing, and building ETL pipelines. Strong SQL skills for data extraction and Python scripting for data processing. Preferred Qualifications: Familiarity with AWS solutions like EC2, DynamoDB, S3, and Redshift. Experience with data mining and managing large-scale, complex datasets in business environments. Knowledge of statistical analysis tools such as R, SAS, or Matlab. If you need assistance during the application process, please reach out for support. Our compensation is competitive and reflects the labor market across various US regions. The base pay for this position ranges from $89,600 to $185,000 annually, depending on location and experience. We offer a comprehensive compensation package including equity, sign-on bonuses, and various benefits. This position will remain posted until filled. Please apply through our career site.
Collaborate with other BIEs across AWS T&C and beyond to assess current data stores, identify gaps, and enhance reporting capabilities. Deliver Data Insights:
Lead the design, development, and maintenance of metrics, reports, analyses, and dashboards to support key business decisions. Provide recommendations to improve operational and quality metrics. Enable Data Self-Service:
Create and support reporting platforms that empower business teams with easy access to large datasets, utilizing data visualization tools. Influence Leadership:
Present findings and insights to senior leaders in a manner that impacts strategic decision-making. Manage Diverse Stakeholders:
Engage various stakeholders to understand their needs and propose effective business intelligence solutions, contributing to both tactical and strategic planning discussions. Conduct Ad Hoc Analysis:
Write SQL queries to extract data from various databases and perform analyses to support the broader organization. Join our Core Curriculum team within AWS Training and Certification, where we develop a diverse range of cloud training content catering to learners in multiple languages. Be part of our journey as we explore innovative solutions in the realm of AI and automation to enhance our offerings. AWS values diverse experiences and we encourage all candidates to apply, regardless of background. We believe that inclusion fuels innovation. Our ongoing commitment to learning and mentorship will help you grow your career while maintaining a healthy work-life balance. Basic Qualifications: 5+ years of experience analyzing and interpreting data with Redshift, Oracle, NoSQL, etc. Proficiency in data visualization tools such as Tableau, Quicksight, or similar solutions. Experience in data modeling, warehousing, and building ETL pipelines. Strong SQL skills for data extraction and Python scripting for data processing. Preferred Qualifications: Familiarity with AWS solutions like EC2, DynamoDB, S3, and Redshift. Experience with data mining and managing large-scale, complex datasets in business environments. Knowledge of statistical analysis tools such as R, SAS, or Matlab. If you need assistance during the application process, please reach out for support. Our compensation is competitive and reflects the labor market across various US regions. The base pay for this position ranges from $89,600 to $185,000 annually, depending on location and experience. We offer a comprehensive compensation package including equity, sign-on bonuses, and various benefits. This position will remain posted until filled. Please apply through our career site.