Sr. Business Intelligence Engineer, SPS Finance Insights \u0026 Analytics
Seattle, Washington
Want to be on the forefront of WW Amazon Stores? Come work with the team delivering actionable and scalable insights for our business partners.
We are seeking a Senior Business Intelligence Engineer to join SPS FIA (Selling Partner Services Finance, Insights & Analytics). The WW Selling Partner Services (SPS) vision is to enable every brand - from the small business with an idea to the large, multi-national corporation - to be able to thrive and grow into a global selling success. We deliver at massive scale through technology, science, and expert human judgment while continuing to think even bigger about the future. Our mission in SPS Finance Insights & Analytics (FIA) is to provide complete and accurate data for financial and business reporting and analytics. We are looking for a top analytical mind interested in applying data driven approaches to tackle business problems and provide insights to influence high impact business decisions.
As a Senior Business Intelligence Engineer with SPS Finance, you will work with our Finance and Tech team to create automated and scalable analytical tools, provide insights, and drive improved decision making. You will work with finance, business, and tech to gain input and deliver tools that meet our customer needs. You will empower data driven decision making through implementing principles of data mining, Machine Learning, data modelling and analytical skills to define and measure metrics for evaluating health of the business. You will be able to extract, integrate and work on critical data to build out data pipelines, automate reports and dashboards to communicate your findings and leverage self-service tools to internal stakeholders. This includes building the infrastructure for regular reporting on business performance, deep diving financial processes and systems across Consumer, and writing the logic for accuracy metrics and opportunity valuation.
Key job responsibilities
- Own, design, develop, document, and manage scalable solutions for new and ongoing metrics, reports, analyses, and dashboards to support business needs
- Serve as a technical, business-metrics specialist and insight provider in the organization
- Own and develop queries and data visualizations for ad-hoc, recurring, troubleshooting requests and projects, as well as for ongoing reporting by leveraging SQL, Redshift, Quicksight, and Tableau skillsets
- Manage and execute entire projects or components of large projects from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.
- Interface with business customers to gather data and metrics requirements, then driving analytic projects which will help solve complex challenges
- Design and develop highly available dashboards and metrics in Quicksight, our business analytics platform
- Perform business analysis and data queries using SQL, scripting, etc.
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
- 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
PREFERRED QUALIFICATIONS
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
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.
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.
We are seeking a Senior Business Intelligence Engineer to join SPS FIA (Selling Partner Services Finance, Insights & Analytics). The WW Selling Partner Services (SPS) vision is to enable every brand - from the small business with an idea to the large, multi-national corporation - to be able to thrive and grow into a global selling success. We deliver at massive scale through technology, science, and expert human judgment while continuing to think even bigger about the future. Our mission in SPS Finance Insights & Analytics (FIA) is to provide complete and accurate data for financial and business reporting and analytics. We are looking for a top analytical mind interested in applying data driven approaches to tackle business problems and provide insights to influence high impact business decisions.
As a Senior Business Intelligence Engineer with SPS Finance, you will work with our Finance and Tech team to create automated and scalable analytical tools, provide insights, and drive improved decision making. You will work with finance, business, and tech to gain input and deliver tools that meet our customer needs. You will empower data driven decision making through implementing principles of data mining, Machine Learning, data modelling and analytical skills to define and measure metrics for evaluating health of the business. You will be able to extract, integrate and work on critical data to build out data pipelines, automate reports and dashboards to communicate your findings and leverage self-service tools to internal stakeholders. This includes building the infrastructure for regular reporting on business performance, deep diving financial processes and systems across Consumer, and writing the logic for accuracy metrics and opportunity valuation.
Key job responsibilities
- Own, design, develop, document, and manage scalable solutions for new and ongoing metrics, reports, analyses, and dashboards to support business needs
- Serve as a technical, business-metrics specialist and insight provider in the organization
- Own and develop queries and data visualizations for ad-hoc, recurring, troubleshooting requests and projects, as well as for ongoing reporting by leveraging SQL, Redshift, Quicksight, and Tableau skillsets
- Manage and execute entire projects or components of large projects from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.
- Interface with business customers to gather data and metrics requirements, then driving analytic projects which will help solve complex challenges
- Design and develop highly available dashboards and metrics in Quicksight, our business analytics platform
- Perform business analysis and data queries using SQL, scripting, etc.
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
- 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
PREFERRED QUALIFICATIONS
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
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.
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.
Created: 2024-09-11
Reference: 2740493
Country: United States
State: Washington
City: Seattle
ZIP: 98109
About Amazon
Founded in: 1994
Number of Employees: 1600000
Website: https://www.amazon.com/
Career site: https://www.amazon.jobs/en/
Instagram: https://www.instagram.com/amazon/
LinkedIn: https://www.linkedin.com/company/amazon/
Facebook: https://www.facebook.com/Amazon
Similar jobs:
-
Principal, Sr Transformation Lead, Talent, Leadership, \u0026 People Analytics, Devices \u0026 Services HR
Amazon in Seattle, Washington💸 $145700 per year -
Senior Product Manager, Fleet Technology Products \u0026 Analytics (FTPA)
Amazon in Bellevue, Washington💸 $124500 per year -
Analytics \u0026 Insights Finance Manager, E2E Central Cost
Amazon in Bellevue, Washington💸 $85900 per year -
Sr. Tech Program Manager, In Life Services Data \u0026 Analytics
Amazon in Bellevue, Washington💸 $133900 per year -
Sr. BI Manager, Data Engineering \u0026 Business Analytics
Amazon in Bellevue, Washington💸 $153600 per year -
Senior UX Designer, Amazon Connect (Analytics \u0026 GenAI), Amazon Connect
Amazon in Seattle, Washington💸 $127100 per year -
Data Engineer - PubTech Data, Insights \u0026 Analytics, Amazon
Amazon in Seattle, Washington💸 $118900 per year -
Sr Data Scientist, ADSP Product Operations \u0026 Analytics
Amazon in Seattle, Washington💸 $143300 per year -
Senior Product Manager, Fleet Technology Products \u0026 Analytics (FTPA)
Amazon in Bellevue, Washington💸 $124500 per year -
Senior Data Engineer - PubTech Data, Insights \u0026 Analytics, Amazon
Amazon in Seattle, Washington💸 $139100 per year -
Sr Data Scientist, ADSP Product Operations \u0026 Analytics
Amazon in Seattle, Washington💸 $143300 per year -
Business Analyst, Amazon Transportation Services Planning \u0026 Analytics
Amazon in Seattle, Washington💸 $66900 per year -
Analytics \u0026 Insights Lead, AWS Sales Insights Product Management
Amazon in Seattle, Washington💸 $89600 per year -
Analytics \u0026 Insights Lead, AWS Startups, GSO - Sales Insights, Analytics, Data Engineering \u0026 Science (SIADS)
Amazon in Seattle, Washington💸 $124500 per year -
Principal Product Manager, Technical - Curation, PubTech Data, Insights \u0026 Analytics
Amazon in Seattle, Washington💸 $161900 per year -
Analytics \u0026 Insights Finance Manager, E2E Central Cost
Amazon in Bellevue, Washington💸 $85900 per year -
Data Engineer II, Analytics \u0026 Data Management
Amazon in Seattle, Washington💸 $118900 per year -
Marketing \u0026 Discovery Analytics, Sr Product Manager, Amazon Private Brands
Amazon in Seattle, Washington💸 $124500 per year -
Business Analyst, SPS Finance Insights \u0026 Analytics - CFAA
Amazon in Seattle, Washington💸 $66900 per year -
Principal Product Manager, Technical - Curation, PubTech Data, Insights \u0026 Analytics
Amazon in Seattle, Washington💸 $161900 per year