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Urgent! Business Intelligence Engineer, SPEAR Job Opening In Virtual Location - Virginia – Now Hiring Amazon
Description
We are open to hiring candidates to work out of one of the following locations:
Remote Location - California | Remote Location - New York | Remote Location - Virginia | Remote Location - Washington
Join us in helping secure Amazon facilities across the globe! Amazon’s Special Programs, Evaluations, Assessments, & Response (SPEAR) Organization is seeking a Business Intelligence Engineer (BIE) for the Data and Analytics (DNA) team to build and support scalable, automated reporting mechanisms that enable customers to make effective, data-driven decisions and to reinforce the overall Rhythm of the Business (RoB).
The DNA team serves as a force multiplier to the organization, providing visibility to strategic planning and operational insights for SPEAR related services.
In this role, the BIE will own and architect scalable solutions across multiple business domains, driving insights through advanced statistical analysis, artificial intelligence (AI) integration, and data visualization techniques.
They will lead cross-functional initiatives to develop and implement sophisticated analytical tools, self-service platforms, and metrics frameworks that enable data-driven decision making at scale.
The ideal candidate combines deep technical expertise with strong business acumen, demonstrating proven ability to influence stakeholders and translate complex business requirements into technical solutions.
They will identify strategic opportunities, lead technical design reviews, and establish best practices while mentoring other builders.
Successful members of this team collaborate effectively with end-users, software development teams, and peer engineering teams to solve problems, and implement new solutions.
Experience architecting large-scale systems, implementing complex data models, and driving automation is essential.
The role requires a balance of technical leadership and business partnership, with the ability to continuously evolve analytical capabilities through emerging technologies and industry best practices.
The position is remotely based and requires international travel amounting to approximately 20% to ensure the delivery of this team’s mission.
Key job responsibilities
Responsibilities include:
* Own end-to-end delivery of complex data projects, including stakeholder management, technical implementation, and change management
* Develop and implement metrics and advanced analytics frameworks that drive business strategies at senior levels
* Architect and implement large-scale data solutions using multiple technologies (e.g., Redshift, MySQL, Oracle, Python, R)
* Identify strategic opportunities for innovation in data analytics, researching and implementing methodologies
* Design and drive adoption of self-service analytics platforms and visualization solutions at scale
* Lead cross-functional initiatives to identify and resolve systemic data quality issues
* Set technical standards for ETL/ELT practices across the organization
* Mentor others within the organization, foster data excellence, and drive adoption of best practices
* Establish governance frameworks and data standards
* Lead root cause analysis for critical business issues, delivering insights that shape organizational strategy
* Create and maintain technical and process documentation that enables knowledge sharing and scalability
About the team
Diverse Experiences
Amazon Security values diverse experiences.
Even if you do not meet all of the 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 Amazon Security?
At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences.
Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services.
We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores
Inclusive Team Culture
In Amazon Security, it’s in our nature to learn and be curious.
Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness.
Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.
Training & 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, training, and other career-advancing resources here to help you develop into a better-rounded professional.
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.
Basic Qualifications
- 5+ 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
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)
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
- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies.
Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.
These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation.
Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers.
If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets.
The Colorado base pay for this position ranges from $99,500/year up to $160,000/year.
The National 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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Unlock Your Business Intelligence Potential: Insight & Career Growth Guide
Real-time Business Intelligence Jobs Trends in Virtual Location - Virginia, United States (Graphical Representation)
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Great news! Amazon is currently hiring and seeking a Business Intelligence Engineer, SPEAR to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Amazon adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Business Intelligence Engineer, SPEAR Jobs United States varies, but the pay scale is rated "Standard" in Virtual Location - Virginia. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Business Intelligence Engineer, SPEAR typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Business Intelligence Engineer, SPEAR interview at Amazon, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Amazon's products or services and be prepared to discuss how you can contribute to their success.
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