Job details
Job type full-time
Full job description
Basic qualifications
Experience with data visualization using tableau, quicksight, or similar tools
3+ years analyzing and interpreting data and experience with redshift, oracle, nosql etc.
Experience in writing complex sql queries
Experience with data modeling, data warehousing, and building etl pipelines
The way the world works is undergoing enormous changeThey`re working remotely, on the go, and moving from one project to the nextAnd, they`re collaborating across borders, time zones, and organizationsWe built amazon web services end user computing (euc) services to give companies the agility to respond to the changing needs of their workforceOur vision is to be the best place for customers to run and access their desktops and apps from any deviceOur business is growing immensely, and we are looking for product leaders to help us achieve the next level of scaleMore information about amazon end- user computing can be found here: https://aws.amazon.com/products/end-user-computing/
We are look for a business intelligence engineer to data into measurable business impactIn this role, you will use analytics to enhance our services, and provide automated reporting so that we can track how service enhancements impact our businessYou are results-oriented and can think big about big data with demonstrated success in using analytics to drive product success.
Responsibilities
Apply deep analytic and business intelligence skills to extract meaningful insights and learning from large and complicated data sets
Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etcThat will support the needs of the business.
Be hands-on with etl to build data pipeline to support automated reporting.
Serve as liaison between the business and technical teams to achieve the goal of providing actionable insights into current business performance, and ad hoc investigations to support future improvements or innovationsThis will require data extraction and manipulation, problem solving, and communication of insights and recommendations.
Build various data visualizations to tell the story of business trends, patterns, and outliers through rich visualizations.
Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
About us
Inclusive team culture
Here at aws, we embrace our differencesWe are committed to furthering our culture of inclusionWe have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globallyWe have innovative benefit offerings, and host annual and ongoing learning experiences, including our conversations on race and ethnicity (core) and amazecon (gender diversity) conferencesAmazon’s culture of inclusion is reinforced within our 14 leadership principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/life balance
Our team puts a high value on work-life balanceIt isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your lifeWe believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillmentWe offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & career growth
Our team is dedicated to supporting new membersWe have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorshipOur senior members enjoy one-on-one mentoring and thorough, but kind, code reviewsWe care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
Preferred qualifications
Masters degree or higher in statistics, data science or an equivalent quantitative field
5+ years of industry experience working as a bie or related specialty
Experience using cloud storage and computing technologies such as aws redshift, s3, hadoop, etc.
Understanding of data warehousing and data modeling
Experience communicating results and business impact of analytical deep dives to senior leadership
Additional locations include: cupertino, ca; san francisco, ca.
Amazon is committed to a diverse and inclusive workplaceAmazon 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 statusFor individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
If you like to work in massively scalable distributed systems and want to change the way people use computers - come join us in making history!
