The 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. Business Analysts (B - As) 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 ... more details
DESCRIPTION
The 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.
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 responsibilities Define Problem & Solution Framework Leverage domain expertise to identify process improvements and drive business performance Independently define analytical approach, develop and optimize KPIs, and implement scalable data processes Standardize 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 sources Identify 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 value Utilize advanced statistical methods, data querying, predictive analysis techniques, and analytical tools to identify key drivers and derive actionable insights Manage 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 independently Own 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 milestones Partner with data engineering to influence data visualization and governance practices
Project Management Work and represent team on multi-team projects, set long-term vision, influence roadmaps, manage project resources, and coordinate stakeholders
About the team The 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 Amazons 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 QUALIFICATIONS
- 5+ years of tax, finance or a related analytical field experience - 3+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience - Experience defining requirements and using data and metrics to draw business insights - Experience making business recommendations and influencing stakeholders - Experience with Excel (including pivot tables and function) - Experience with SQL and understanding database structures - Bachelor's Degree in Business, Statistics, Economics, Business/Data Analytics, or related technical/engineering field
PREFERRED QUALIFICATIONS
- Master's Degree - Experience working with scripting languages such as Python - Working knowledge of AWS tech stack (e.g., S3, Redshift, QuickSight, Sagemaker) - Experience solving ambiguous analytical problems - Strong communication and writing skills
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 $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.
Job Abstracts is an independent Job Search Engine. Job Abstracts is not an agent or representative and is not endorsed, sponsored or affiliated with any employer. Job Abstracts uses proprietary technology to keep the availability and accuracy of its job listings and their details. All trademarks, service marks, logos, domain names, and job descriptions are the property of their respective holder. Job Abstracts does not have its members apply for a job on the jobabstracts.com website. Additionally, Job Abstracts may provide a list of third-party job listings that may not be affiliated with any employer. Please make sure you understand and agree to the website's Terms & Conditions and Privacy Policies you are applying on as they may differ from ours and are not in our control.
We would like to take a second to Welcome You to Job Abstracts, the nation’s largest Pure Job Board. With over 3.1 million job listings from 15,000+ Companies & Organizations, we help job searchers find careers that match their interests. As an anonymous user, you have probably discovered how easy our system is to use. However, you have just scratched the surface of what we can offer.
We encourage you to Register so you can use our most powerful features: searching with multiple terms, setting up multiple locations, establishing favorite companies, and accessing your search history. If you find a job you like, you can apply directly for it, and then, keep notes on it. We will also keep a lookout for jobs that match your search terms and email you when we find something you may like.
You can register for free and the system is free to use. If you like our system so far, click on Register and unlock the power required by serious job searchers.
Any time you conduct a search, the system shows you job matches, ranked by their Relevance Score (RS).
The score is calculated by a proprietary algorithm that uses Intelligent Machine Learning.
The Relevance Score tells you how well the job opportunity matches your search term or terms.
When not logged in, the system is limited to one search term. Scores for single term matches are usually lower.
When you register, log in, and set up multiple terms prioritized by importance, the jobs found for you will receive a much higher Relevance Score.
