Business Intelligence Engineer, ProServe Strategy
4 weeks ago
About the Role:
We are seeking a highly skilled Business Intelligence Engineer to join our ProServe Strategy team at Amazon Web Services. As a Business Intelligence Engineer, you will be responsible for designing, developing, and implementing scalable solutions for business intelligence tools that impact leaders across the world.
Key Responsibilities:
- Own, design, develop, document, and manage scalable solutions for new and ongoing metrics, reports, analyses, visualizations, and dashboards to support business needs
- Use data mining, data modeling, data warehousing, and other analytical techniques to develop and maintain customer segmentation and predictive models to drive the business
- Own and develop queries and data visualizations for ad-hoc, recurring, troubleshooting requests and projects, as well as for ongoing reporting by leveraging MySQL, Redshift, and QuickSight skillsets
- Develop and launch new metrics, improve the inspection points for existing metrics, and identify correlations and root causes
- Improve the adoption of self-service analytical tools by acting as a subject matter expert (SME) and deliver training to global teams
- Perform regular audits and improvements to data systems to ensure complete and accurate reporting
- Conduct statistical and trend analysis to identify opportunities, highlight strengths, and provide recommended corrective actions
- Develop programs, methodologies, and reports for analyzing and presenting data
- Collaborate with the business stakeholders, product management, and engineering partner teams to influence and guide their development roadmaps
About the Team:
Our team is passionate about delivering innovative solutions that accelerate smarter decisions for a better Professional Services through technology, automation, and advanced analytics. We are a diverse and inclusive team that values diverse experiences and encourages candidates from all backgrounds to apply.
What We Offer:
- A unique opportunity to invent new ways of leveraging large, complex data streams to enable the organization to scale and accelerate our enterprise customers' journey to the cloud
- A high-visibility and high business impact role with a chance to make a significant difference in the company's success
- A collaborative and dynamic work environment with a team of experienced professionals who are passionate about delivering innovative solutions
- A comprehensive compensation package that includes a base salary, equity, sign-on payments, and other forms of compensation
- A range of benefits, including medical, financial, and other benefits that support your well-being and career growth
Requirements:
- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL experience
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with data modeling, warehousing, and building ETL pipelines
- Preferred qualifications include experience in data mining, ETL, and using databases in a business environment with large-scale, complex datasets
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in Statistical Analysis packages such as R, SAS, and Matlab
- Experience with forecasting and statistical analysis
- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance, or equivalent quantitative field
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
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 flexible work hours and arrangements are part of our culture.
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.
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