Amazon Work From Home San Antonio

Sr. Business Intelligence Engineer

Job Details

Hiring Organization Amazon
Post NameSr. Business Intelligence Engineer
Qualification MBA or other relevant advanced degree preferred.
Industry Private
Employment Type Full Time
Work Hours 8 Hours
Salary USD 100000 To USD 120000 Per Year
Job Location TypeWork From Home


Job Summary

For more than 11 years, Amazon Web Services (“AWS”) has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 100 fully featured services to millions of active customers around the world—including the fastest-growing startups, largest enterprises, and leading government agencies—to power their infrastructure.

The AWS Global Systems Integrator organization collaborates with, and supports, multinational system integrator organizations and their customers in their journey to AWS. Within the GSI organization, the Sales, Strategy, Operations, and Enablement (SSOE) team is responsible for supporting the Leadership, Management, and the field in achieving our organizational objectives, delivering customer outcomes, and driving continuous improvements in field productivity.

We drive efficiency, predictability, and rigor in our operating cadence, promote inter-connected business planning and operations, and enable the field to serve the customer the way they want to be served. Our stakeholders are broad, internal, and external to AWS, multi-national, and distributed across the globe. We serve them with integrity and discipline, and dedication to superb customer outcomes.

We are seeking an experienced Innovation Analytics Lead to collaborate with the Business Leaders and Sales Support peers in developing and managing the reporting analytics and insights utilized during Business Reviews, Annual Planning, forecasting, and other cadenced reporting and metrics for the GSI organization.

The ideal candidate earns trust through outstanding performance, has broad technical skills, and deep analytic background. This candidate is passionate about data and the insights gleaned from well-organized and presented data analytics. The role will support several stakeholders including the extended AWS GSI Leadership organization, and the Partner team.

This individual will collaborate effectively with internal end-users and cross-functional teams to solve problems, communicate effectively across multiple technical and non-technical business units, implement new reporting solutions, and deliver successfully against high standards. A successful candidate is a person that has a proven work ethic that drives the desired results and has experience in operations.

If you love driving critical thinking and insight into challenging, unstructured problems and working with leaders in the organization to bring those insights into action, this role is for you. This is a hands-on role; however, being a part of a small team gives the opportunity to take ownership of the customer/business problem across the spectrum from ideation to setting it up for implementation in partnership with stakeholder teams.

Key Responsibilities:

  • Define the key sales support systems/processes required to meet the rapid growth of the business and achieve revenue attainment and market development objectives.
  • Manage the development of continuously evolving forecast models and methodologies, owning the quantitative analysis of the performance of our sales team, customers, prospects, partners, markets, and products/services.
  • Build new insights, reporting, dashboards, and analytical mechanisms to identify signals, trends, and patterns.
  • Identify reporting issues, and gaps in processes, and drive timely resolution.
  • Develop relationships and processes with cross-functional stakeholders to identify and address reporting issues.
  • Prepare ad hoc analysis & participate in projects as needed

About the team

Work/Life Balance

Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work.
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.

Inclusive and Diverse Culture

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have twelve employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally.

We have innovative benefit offerings, and we 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.


  • Strong business / commercial acumen
  • Willingness to learn and stretch beyond comfort zones
  • 5+ years of hands-on experience in insights/analytics visualization or related areas (e.g. SQL, Python, Tableau, etc)
  • 3+ years of experience with financial modeling, data mining, analytics, and/or any other advanced analytics in an enterprise environment
  • Excellent verbal and written communication skills to articulate complex analytical requirements and findings to a broader audience
  • Cross-group collaboration skills.
  • Bachelor’s Degree or equivalent


  • Exhibits sound business judgment with a proven ability to influence others
  • Experience working within a high-growth, tech company would be highly beneficial.
  • Strong analytical skills, and a proven track record of taking ownership, leading data-driven analyses, and influencing results
  • Strong written and verbal communication skills, with a track record of presenting to senior management
  • Able to operate successfully in a lean, fast-paced organization, and to create an organization that can scale quickly
  • Highly organized, have multi-tasking skills, and effective in ambiguous situations.
  • MBA or other relevant advanced degree preferred.
  • Meets/exceeds Amazon’s leadership principles requirements for this role
  • Meets/exceeds Amazon’s functional/technical depth and complexity for this role

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