Business Intelligence Engineer, ProServe Strategy \u0026 Operations - Operations Technology

The ProServe Strategy & Operations - Operations Technology team delivers relentless innovation that accelerates smarter decisions for a better Professional Services through technology, automation, and advanced analytics. Our mission is to provide AWS with the right information at the right time to make analytically-informed decisions about business performance and desired outcomes. The team supports AWS Professional Service's mission by ensuring that our data are trusted and secured via business systems and automation technologies to deliver actionable insights that drive business growth and efficiencies.

Amazon Web Services is seeking an Business Intelligence Engineer (BIE) to lead the Partner Analytics roadmap of our fast growing Professional Services organization. This is a unique opportunity to invent new ways of leveraging our large, complex data streams to enable the organization to scale and accelerate our enterprise customers' journey to the cloud. This is a high-visibility and high business impact role.

AWS provides companies of all sizes with an infrastructure web services platform in the cloud ("cloud computing"). With AWS you can requisition compute power, storage, and many other services - gaining access to a suite of elastic IT infrastructure services as your business demands them. AWS is the leading platform for designing and developing applications for the cloud and is growing rapidly with millions of customers in over 190 countries. Many of these customers seek help from AWS Professional Services in their journey to a cloud-based IT operating model.

In this role, you will own the development and adoption for business intelligence tools that impact leaders across the world. You will work closely with business planning and finance teams to achieve business objectives and communicate insights to key stakeholders. You will implement best practices in reporting and analysis, including data integrity, visualization design, and documentation; and drive results in a fast-paced, ambiguous environment.

Key job 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 modelling, 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

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 flexible work hours and arrangements are part of our 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

- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. 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

- Experience in data mining, ETL, etc. 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

- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

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.

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