Amazon

DESCRIPTION

AWS Training & Certification is seeking a self-driven, analytical Business Intelligence Engineer with strong business acumen to help scale our global curriculum efforts through data driven invention and simplification. This is the perfect role for anyone excited about leveraging the latest in data analytics to provide insights and drive crisp decision making for a complex business.

The ideal candidate should be comfortable sitting at the intersection of data engineering, business intelligence, and business analysis, and will be asked to deliver across all three vectors. They should be passionate about working with disparate datasets and be someone who loves to bring data together to answer business questions. They will need to collaborate effectively with internal stakeholders and cross-functional teams to solve problems. Along the way, they will likely deliver insights our leaders might not have previously considered.

Key job responsibilities

• Manage Data Structure: Partner with other BIEs across AWS T&C (and beyond) to understand present data stores, identify gaps to enabling new capabilities or better reporting, and close these gaps.
• Deliver Data Insights: Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. Make recommendations for new metrics, techniques, and strategies to improve KPIs, including operational and quality metrics.
• Enable Data Self Service: Design, implement, and support reporting platforms that provide business teams ad-hoc access to large datasets (e.g. data visualization tools for non-tech business users).
• Influence Leadership: Present analyses and insights to senior leaders effectively to influence decision making.
• Manage Diverse Stakeholders: Engage with diverse stakeholder groups to understand needs and recommend business intelligence solutions. Participate in strategic & tactical planning discussions.
• Ad Hoc Analysis – Write SQL queries to pull data from disparate databases and conduct analysis that supports the broader organization.

About the team

Sitting within AWS Training and Certification, Core Curriculum builds and manages the world’s most complete, current, and compelling portfolio of cloud training content. Our portfolio comprises 1,000’s of learning experiences, covering 100’s of discrete AWS services. We build for all levels, from introductory to advanced and support global learners across 22 languages.

As a content organization, Core Curriculum is in the vanguard of the generative AI revolution with investments in AI and broader technical automation that will massively increase the coverage and reach of our training portfolio, and meet ever-increasing customer expectations of choice and personalization.

About AWS

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

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.

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, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

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 in the cloud.

BASIC QUALIFICATIONS

• 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with data modeling, warehousing and building ETL pipelines
• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

PREFERRED QUALIFICATIONS

• 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 in Statistical Analysis packages such as R, SAS and Matlab

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 $89,600/year in our lowest geographic market up to $185,000/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.