Senior Business Intelligence Engineer, Amazon Customer Service
Amazon
Full-time
On-site
Seattle, Washington, United States
$117,300 - $202,800 USD yearly
At Amazon, we're working to be the most customer-centric company on earth. Customer Service (CS) is at the heart of what we do. Are you interested in shaping the future of Amazon CS globally and driving strategic initiatives that shape the future of support for our employees and customers?
The Amazon CS team is looking for a talented and experienced Business Intelligence Engineer (BIE) to work across CS and other Amazon teams to improve its content management, training, and program management functions. You will be part of a team of analysts responsible for developing and maintaining the reporting infrastructure. This includes measuring the efficacy of training, associate facing content, Amazon’s help pages, and strategic program initiatives. As a BIE, you will support both the CS functional teams and the rest of the analyst team to automate, standardize and scale their most complex data tasks.
A successful candidate will have a passion for data analytics and a deep knowledge of business intelligence solutions. The individual will have experience working with diverse groups of stakeholders, gaining expertise in their data and metrics, and translating their business needs to technical solutions. The individual will have the ability to work in a fast-paced environment, and a desire to innovate, fail fast, learn, iterate and improve.
Key job responsibilities
- Work with stakeholders to understand their needs and design reporting and automation solutions that will exceed expectations
- Build detailed understanding of CS processes and how they map to data
- Work with a variety of data sources and large data sets, extract data using efficient query development and provide a holistic and consistent view of the data
- Actively drive automation and scaling of data processes and create self-service tools
- Build knowledge of the latest tools and technologies to help deliver flexible and scalable solutions
- Partner with data engineering teams to adapt data infrastructure to requirements
- Actively manage the timeline and deliverables of projects, anticipate risks and resolve issues
A day in the life
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience working directly with business stakeholders to translate between data and business needs
- Experience with SQL
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience in the data/BI space
- Experience with data visualization using Tableau, QuickSight, or similar tools
- Experience managing, analyzing and communicating results to senior leadership
- Advanced knowledge of SQL, Python, and MS Excel
- Strong understanding of BI technologies and their application including database warehousing and dashboarding
- Advanced knowledge of AWS solutions such as EC2, DynamoDB, S3, and Redshift
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.
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 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.
The Amazon CS team is looking for a talented and experienced Business Intelligence Engineer (BIE) to work across CS and other Amazon teams to improve its content management, training, and program management functions. You will be part of a team of analysts responsible for developing and maintaining the reporting infrastructure. This includes measuring the efficacy of training, associate facing content, Amazon’s help pages, and strategic program initiatives. As a BIE, you will support both the CS functional teams and the rest of the analyst team to automate, standardize and scale their most complex data tasks.
A successful candidate will have a passion for data analytics and a deep knowledge of business intelligence solutions. The individual will have experience working with diverse groups of stakeholders, gaining expertise in their data and metrics, and translating their business needs to technical solutions. The individual will have the ability to work in a fast-paced environment, and a desire to innovate, fail fast, learn, iterate and improve.
Key job responsibilities
- Work with stakeholders to understand their needs and design reporting and automation solutions that will exceed expectations
- Build detailed understanding of CS processes and how they map to data
- Work with a variety of data sources and large data sets, extract data using efficient query development and provide a holistic and consistent view of the data
- Actively drive automation and scaling of data processes and create self-service tools
- Build knowledge of the latest tools and technologies to help deliver flexible and scalable solutions
- Partner with data engineering teams to adapt data infrastructure to requirements
- Actively manage the timeline and deliverables of projects, anticipate risks and resolve issues
A day in the life
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience working directly with business stakeholders to translate between data and business needs
- Experience with SQL
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience in the data/BI space
- Experience with data visualization using Tableau, QuickSight, or similar tools
- Experience managing, analyzing and communicating results to senior leadership
- Advanced knowledge of SQL, Python, and MS Excel
- Strong understanding of BI technologies and their application including database warehousing and dashboarding
- Advanced knowledge of AWS solutions such as EC2, DynamoDB, S3, and Redshift
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.
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 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.