Easter Seals Jobs

Description

The Strategic Risk Insights, Data and Engineering team is at the forefront of identifying and managing security risks for the protection of Amazon's business lines. We are looking for a talented business intelligence engineer that is ready to take on a crucial role in addressing security risks across Amazon. Security challenges at this scale and speed require a passion for creating solutions to complex challenges.

We are seeking a Business Intelligence Engineer to ensure that risk mitigation and customer protection are always the top priority, leveraging data-driven insights. We prioritize our decisions based on their impact on our business lines, and to do that, we need to leverage data – data that this role will study, transform, and provide insights. If you enjoy creating solutions to deliver results faster, and you are skilled at identifying issues and new trends within abstract and disconnected data, this position will provide you with a challenging opportunity to work alongside world-class talent in solving complex and far-reaching security problems.

Key job responsibilities

• Design, build, and maintain automated reporting, dashboards, and ongoing analysis to enable data driven decisions across our team and with partner teams.

• Identify, develop, manage, and execute queries across multiple data sets to uncover areas of opportunity and present written business recommendations.

• Report key insight trends, using statistical rigor to simplify and inform the larger team of noteworthy trends that impact the business.

• Collaborate with product, technical, and operational leaders to gather data and metrics requirements.

• Retrieve and analyze data using a broad set of Amazon’s data technologies and resources, knowing how, when, and which to use.

• Write high-quality SQL queries to retrieve and analyze data from database tables (ex. Redshift, MySQL, Oracle).

• Manage and execute entire projects from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.

• Scope, build and own technical data warehouse processes to help the business scale.

About the team

Diverse Experiences

Amazon Security values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why Amazon Security

At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

Inclusive Team Culture

In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.

Training and Career growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.

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 using Archer IRM, ServiceNow or similar tools to visualize data

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.