We are seeking an exceptional Business Intelligence Engineer to drive data-informed decision-making across our organization. This role combines technical expertise with business acumen to transform complex data into actionable insights, with a specific focus on Seller Performance Support metrics and experiences.
Key job responsibilities
- Become Subject Matter Expert of SP Support experience metrics.
- Continuously monitor data quality and optimize data flows to ensure efficient and reliable data delivery.
- Create effective visualizations and dashboards that tell a compelling story and provide recommendations for new business initiatives.
- Conduct driver analysis and develop time series models to forecast trends in metrics.
- Identify, develop, manage, and execute analyses to uncover opportunities, providing written recommendations.
- Measure initiatives for Seller Experience through A/B testing or non-causal analysis methods.
- Utilize advanced SQL/Python skills for business decision-support analysis.
- Collaborate with Product Managers and the Science team to ensure alignment between Insight and Science used.
- Provide training and support to business users, ensuring effective adoption and utilization of BI solutions.
- Communicate data clearly and concisely, adjusting your style for different audiences to address complex financial issues effectively. Your communication will influence critical business decisions.
- Become an expert in your field to promote work-life balance. Be a positive, collaborative influence on new team members, exemplifying operational excellence and efficiency.
About the team Selling Partner Insights and Analytics team vision is to provide data and insights to accelerate stakeholder's data-driven decisions, enabling continuous improvement of the Selling Partner experience. Our mission aligns with this vision by making it easier and faster for our internal customers to use analytics to swiftly transform data into actionable insights. This team supports all programs where the data/analysis is needed for program teams, Operations and stakeholders from the broader Selling Partner Support team.
Basic Qualifications
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Preferred Qualifications
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Experience with forecasting and statistical analysis
- Demonstrated experience leveraging generative AI tools to enhance workflow efficiency and productivity, with the ability to craft effective prompts and critically evaluate AI-generated outputs in a professional setting
- Experience identifying opportunities to integrate AI solutions into products and services to drive business value
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, SEATTLE - 99,500.00 - 160,000.00 USD annually USA, WA, Seattle - 99,500.00 - 160,000.00 USD annually