myGwork - LGBTQ+ professionals & allies
Sr. Business Analyst, Selling Partner Communities - Global Events
myGwork - LGBTQ+ professionals & allies, Seattle, Washington, us, 98127
This job is with Amazon, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.DescriptionThe Selling Partner Communities (SPC) organization is looking for a Senior Business Analyst that will use data to translate the "voice of the seller" into actionable insights that drive the development of our program roadmap and new product features. This Senior Business Analyst will support our growing events team and must understand how to tie data and analytics of live events directly to business goals.Business Analysts (BAs) work directly with the business and our Business Intelligence Engineers, Data Engineers, and Data Scientists to apply the best data to each analysis they own. You will be the closest to the business, and will be expected to collaborate with business leaders to not only provide data-based insights, but also consult on what other data resources our team has to offer. You will dive deep on projects and work with the business teams and engineers to continuously inspect and influence the direction that our organization will take.Key job responsibilitiesDefine Problem & Solution Framework
Leverage domain expertise to identify process improvements and drive business performanceIndependently define analytical approach, develop and optimize KPIs, and implement scalable data processesStandardize requirements and scale strategies across the organization
Data Acquisition
Serve as a company-wide asset for accessing and retrieving complex data from wide variety of subject areas and diverse sourcesIdentify data gaps and partner with technology teams to develop APIs/tooling to facilitate seamless data movement between different funnels and systems.Ensure data integrity, accuracy, and consistency by working with data owners and authoritative sources
Analysis & Insights
Solve complex and ambiguous analytical problems, conduct ad-hoc analysis, and derive recommendations that have impact on multiple teams and provide business valueUtilize advanced statistical methods, data querying, predictive analysis techniques, and analytical tools to identify key drivers and derive actionable insightsManage and maintain inputs for various business reviews and all related documentation.
Communication & Influence
Train stakeholders on data best practices to ease access to timely information; communicate and enforce data standards across the team, providing clear guidance and best practices.Design and implement standard reporting solutions and self-service capabilities to enable stakeholders to access and utilize data independentlyOwn effective communication of metrics, analysis, and deep dive narratives to influence business direction; create and validate inputs and visualizations for documentation narratives and appendices; and ensure accuracy and relevance during key document milestonesPartner with data engineering to influence data visualization and governance practicesGather and distribute data to key stakeholders post-event, including speakers and sponsors. Present data insights to the team post-event to inform future strategies and improvements.Review and provide feedback on any data intake tools, such as registration systems and surveys, to ensure data integrity and usability.
Project Management
Work and represent team on multi-team projects, set long-term vision, influence roadmaps, manage project resources, and coordinate stakeholders.Oversee the intake process through the Asana data request form, continuously updating and refining the process as needed.
About The TeamThe Selling Partner Communities (SPC) organization builds lasting connections with, and helps drive the success of our Selling Partners. We achieve this by: (1) Providing effective channels for multi-directional engagement with Amazon, (2) Fostering an active and helpful community and information exchange among Selling Partners; (3) Understanding Selling Partners' perceptions of, and being internal advocates to improve, their experience selling on Amazon; (4) Ensuring that public perception mirrors the reality that Amazon's stores are a great place for Selling Partners to build and maintain a thriving business; and (5) Accelerating and strengthening third-party advocacy and partnerships that benefit Selling Partners.Basic Qualifications5+ years of tax, finance or a related analytical field experience3+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experienceExperience defining requirements and using data and metrics to draw business insightsExperience making business recommendations and influencing stakeholdersExperience with Excel (including pivot tables and function)Experience with SQL and understanding database structuresBachelor's Degree in Business, Statistics, Economics, Business/Data Analytics, or related technical/engineering fieldPreferred QualificationsMaster's DegreeExperience working with scripting languages such as PythonWorking knowledge of AWS tech stack (e.g., S3, Redshift, QuickSight, Sagemaker)Experience solving ambiguous analytical problemsStrong communication and writing skillsExperience with marketing tools, channels and activities, including lead management and sales funnelExperience managing and measuring marketing performance in variance channelsAmazon 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 $106,400/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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Leverage domain expertise to identify process improvements and drive business performanceIndependently define analytical approach, develop and optimize KPIs, and implement scalable data processesStandardize requirements and scale strategies across the organization
Data Acquisition
Serve as a company-wide asset for accessing and retrieving complex data from wide variety of subject areas and diverse sourcesIdentify data gaps and partner with technology teams to develop APIs/tooling to facilitate seamless data movement between different funnels and systems.Ensure data integrity, accuracy, and consistency by working with data owners and authoritative sources
Analysis & Insights
Solve complex and ambiguous analytical problems, conduct ad-hoc analysis, and derive recommendations that have impact on multiple teams and provide business valueUtilize advanced statistical methods, data querying, predictive analysis techniques, and analytical tools to identify key drivers and derive actionable insightsManage and maintain inputs for various business reviews and all related documentation.
Communication & Influence
Train stakeholders on data best practices to ease access to timely information; communicate and enforce data standards across the team, providing clear guidance and best practices.Design and implement standard reporting solutions and self-service capabilities to enable stakeholders to access and utilize data independentlyOwn effective communication of metrics, analysis, and deep dive narratives to influence business direction; create and validate inputs and visualizations for documentation narratives and appendices; and ensure accuracy and relevance during key document milestonesPartner with data engineering to influence data visualization and governance practicesGather and distribute data to key stakeholders post-event, including speakers and sponsors. Present data insights to the team post-event to inform future strategies and improvements.Review and provide feedback on any data intake tools, such as registration systems and surveys, to ensure data integrity and usability.
Project Management
Work and represent team on multi-team projects, set long-term vision, influence roadmaps, manage project resources, and coordinate stakeholders.Oversee the intake process through the Asana data request form, continuously updating and refining the process as needed.
About The TeamThe Selling Partner Communities (SPC) organization builds lasting connections with, and helps drive the success of our Selling Partners. We achieve this by: (1) Providing effective channels for multi-directional engagement with Amazon, (2) Fostering an active and helpful community and information exchange among Selling Partners; (3) Understanding Selling Partners' perceptions of, and being internal advocates to improve, their experience selling on Amazon; (4) Ensuring that public perception mirrors the reality that Amazon's stores are a great place for Selling Partners to build and maintain a thriving business; and (5) Accelerating and strengthening third-party advocacy and partnerships that benefit Selling Partners.Basic Qualifications5+ years of tax, finance or a related analytical field experience3+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experienceExperience defining requirements and using data and metrics to draw business insightsExperience making business recommendations and influencing stakeholdersExperience with Excel (including pivot tables and function)Experience with SQL and understanding database structuresBachelor's Degree in Business, Statistics, Economics, Business/Data Analytics, or related technical/engineering fieldPreferred QualificationsMaster's DegreeExperience working with scripting languages such as PythonWorking knowledge of AWS tech stack (e.g., S3, Redshift, QuickSight, Sagemaker)Experience solving ambiguous analytical problemsStrong communication and writing skillsExperience with marketing tools, channels and activities, including lead management and sales funnelExperience managing and measuring marketing performance in variance channelsAmazon 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 $106,400/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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