Job Location: Remote
· 3+ years’ of overall BIE experience · A bachelor’s degree in an analytical or business field, or comparable business experience with some technical background.
· Experience with ETL tools. · Experience with scripting for automation (e.g. Python, Perl, Ruby)
· 3+ years of experience in data mining and dataset preparation using SQL. · 3+ years of experience with Tableau Desktop or other relevant data visualization software.
Amazon strives to be the world’s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. Amazon Web Services (AWS) is one of the world’s most comprehensive and broadly adopted cloud platforms, offering over 165 fully featured services from data centers globally. Amazon Web Services, Inc. provides services for broad range of applications including compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), security, and application development, deployment, and management.
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services. The AWS Support organization is global with 17 locations around the world. Unlike most support organizations, AWS Support is a self-standing business with revenue and P&L responsibility and one of the fastest growing businesses within AWS.
As a Business Intelligence Engineer, you will be responsible for understanding and mining a large amount of data, building metrics, finding answers and creating dependable, repeatable solutions. The team will look to you for advice on analytical and business issues facing them. You should be a self-starter who knows BI tools and enjoys working with data, and who thrives on implementing creative approaches and dealing with the intricate complexity of large data sets. Furthermore, this role demands an insistence on the very highest standards of data integrity, where the BI Engineer will be the custodian of the ‘Single Version of the Truth’ of all Capacity Planning and Forecasting data sources within AWS Support.
You will work in lock-step with multiple business teams, AWS Support Ops, Finance and Leadership. You will:
- Interface with internal customers, gathering requirements and delivering complete BI solutions;
- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL (Redshift) and ability to use a programming and/or scripting language to process data for modeling;
- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation;
- Partner with business and technical teams to consult, develop and implement KPI’s, automated reporting/process solutions, ad-hoc analyses, and data infrastructure improvements to meet business needs;
- Be expert and hands on with SQL to build analyses and contribute to the better understanding of the business;
- Promote process improvement and standardization of processes across all operational sites in the network.
- Work independently in an ambiguous environment, delivering quick wins, and developing strategic improvements.
About the team
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 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 balance. It 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 life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We 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 members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
- Proven experience leading the design, implementation, and delivery of BI solutions in complex, ambiguous or poorly defined problem spaces
· Be self-driven, and show ability to deliver on ambiguous projects with incomplete or dirty data. · Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
· Experience with statistical analysis and R. · Demonstrated ability to set up processes to scale up operations in a fast paced organization.
- Experience data modeling and transformation of large-scale data sources using Hadoop, Spark, Hive, EMR, or other Big Data technologies.
- Advanced ability to draw insights from data and clearly communicate them (verbal/written) to the stakeholders and senior management as required.
- Experience in managing multiple stakeholders in a global setup with stakeholders present across the globe.
- Experience in working in a fast-paced environment where continuous innovation is desired and ambiguity is the norm
The pay range for this position is $106,200- $160,000/yr. Pay is based on market location and may vary depending on job-related knowledge, skills, and experience. A sign-on payment and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via Amazon’s internal or external careers site.
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.
Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Workers in New York City who perform in-person work or interact with the public in the course of business must show proof they have been fully vaccinated against COVID or request and receive approval for a reasonable accommodation, including medical or religious accommodation.
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