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Description

As a Business Intelligence Engineer within the WWFE organization, you will play a strategic role in driving the design, implementation, and delivery of cutting-edge business intelligence solutions.

Key job responsibilities

• Leveraging tools like Amazon QuickSight for advanced data analysis, visualization, and reporting

• Demonstrating expertise in SQL and being proficient in Python and AWS services to tackle complex data challenges

• Applying advanced data science techniques, such as chi-square, t-test, and correlation analysis, to drive data-driven decision making

• Leading the introduction of innovative technologies, including generative AI and machine learning, into our reporting and analytics workflows

• Implementing robust data security and governance measures to ensure the protection of sensitive customer information

• Centralizing and harmonizing data sources to enable self-service analytics capabilities for our teams and customers

• Mapping sales output with training performance and conducting in-depth correlation analysis using your data science skills

• Mentoring and developing other data and analytics professionals within the organization, sharing your knowledge and expertise

• Ability to communicate insights effectively to both technical and non-technical stakeholders

A day in the life

As a WWFE Business Intelligence Engineer, you will be empowered to innovate on a daily-basis with access to any tools you believe will do the job at hand best. You will be supported by a diverse team of fellow DEs, BIEs, SDEs, and PMs. Your work will directly to enable impact through data for all of WWFE and will include, though not limited to, decision consulting with business stakeholders, designing visualizations, managing pipelines, and enabling self-serve for our our business stakeholders.

About the team

ABOUT AWS:

Diverse Experiences

Amazon 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.

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, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, 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

• 3+ 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

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 developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

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

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 $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.