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Description

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.

The AWS Specialist Partner Organizations Centralized Data and Insights Team (CDI) has an immediate need for a creative and driven Sr Business Intelligence Engineer (BIE).

The Centralized Data and Insights Team (CDI) owns the central business intelligence and analytics function for the AWS Partner Organization. We are a team of builders that enable self-service reporting capability across partner programs, analyze and optimize partner investments, and drive adoption of scalable and automated mechanisms. We build for the long term but ensure we are responsive to customer needs.

As a Sr Business Intelligence Engineer, you will apply ETL, Scripting (e.g. Python), SQL, and visualization skills to develop scalable BI solutions. You are innovative and technically versatile. Your deliverables will help accelerate business by finding actionable insight and key drivers behind the APOs most visible metrics.

Key job responsibilities

• Provide thought leadership in global business deep dives across a variety of key performance indicators.

• Proactively make and justify recommendations based on statistical techniques, deep familiarity with the customer experiences, as well as by cross-referencing multiple data sources and comparing against the wider industry.

• Automate reporting for regular metrics, identify areas of opportunity to automate, scale ad-hoc analyses, build and inform BI tool improvements.

• Own alignment and standardization of analytical initiatives across the global partner teams.

• Define, develop, and build business critical metrics and reports across all business levers, key performance indicators, and financials.

• Provide data engineering with functional and technical requirements to improve efficiency of data pipelines.

• Drive efforts with business leaders, BI leaders and executive management across the partner organization.

• Stay up to speed with the latest technology/techniques in Generative AI with a view to use it to raise the bar on reporting across the APO.

• Partner with engineering, product, business and finance teams to create key performance indicators and new methodologies for measurement.

• Translate data into actionable insights for stakeholders both in and out of the team, create analytical insights to identify key priorities.

A day in the life

The role is part of a Centralized BI Team in the AWS Partner Organization. The primary focus is developing scalable reporting artifacts that can be leveraged by other Line of Business BI Teams, easily. You will be the conduit between reporting logic in the greater AWS Organizations, whilst closely partnering with other APO BI Teams to tell the story of the APO within AWS. You will create trusted and clear data artifacts as well as act as a SME on the drivers behind trends in top line reporting and any actionable Insights, sales teams may take in response. BIEs in the CDI Team will work across multiple data functions and Sales personas interchangeably and exhibit an ability to communicate effectively with both technical and non-technical Amazonian’s.

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 we strive for flexibility as part of our working 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

• 10+ years of professional or military experience

• 5+ years of SQL experience

• Experience programming to extract, transform and clean large (multi-TB) data sets

Preferred Qualifications

• Experience working directly with business stakeholders to translate between data and business needs

• Experience managing, analyzing and communicating results to senior leadership

• A passion for data science and advanced analytical tools e.g. ML

• Experience with theory and practice of design of experiments and statistical analysis of results

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.

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.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/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.