Description

We are seeking a talented and experienced Business Intelligence Engineer (BIE) to join our team. In this role, you will be responsible for developing and implementing measurement mechanisms, data frameworks, and interactive dashboards and visualizations to drive data-driven decision-making across the organization. You will work closely with stakeholders to understand their analytical needs and provide self-service analytics and reporting capabilities.

The BIE on the SPDE Analytics Team is responsible for supporting the Contact Elimination program in their product launches, measuring initiatives implemented for Contact Elimination and instrumental in reporting on these initiatives.


Key job responsibilities

Key Responsibilities:

1. Measure initiatives for contact elimination through A/B testing or non-causal analysis methods.

2. Utilize advanced SQL skills for business decision-support analysis.

3. Create effective visualizations and dashboards that tell a compelling story and provide recommendations for new business initiatives.

4. Conduct driver analysis and develop time series models to forecast trends in metrics.

5. Collaborate with data engineers and the Science team to ensure alignment between data sets and the underlying data infrastructure.

6. Provide training and support to business users, ensuring effective adoption and utilization of BI solutions.

7. Continuously monitor data quality and optimize data flows to ensure efficient and reliable data delivery.

8. Identify, develop, manage, and execute analyses to uncover opportunities, providing written recommendations.

9. Communicate data clearly and concisely, adjusting your style for different audiences to address complex financial issues effectively. Your communication will influence critical business decisions.

10. 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.

Basic Qualifications

• Experience with data visualization using Tableau, Quicksight, or similar tools

• Experience with Experimentation and Non Experimental Causal attribution models

• 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

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 $89,600/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.