Jobs for People with MS: National MS Society

Description

Amazon’s mission is to be ‘Earth’s most customer-centric company’, and our award-winning Customer Service (CS) team is an essential part of that mission. Amazon CS is one of the largest customer service organizations in the world. The Americas Customer Experience team in CS hires the world’s brightest minds, offering an environment in which they can relentlessly detect, design, and drive solutions to improve the Amazon customer experience. We do this every day by solving complex business and technical problems with ingenuity and simplicity. We are looking for a for an outstanding business intelligence engineer to join our team in building and maintaining end-to-end data and analytics solutions that drive business insights. This is your opportunity to be a core part of the team that reduces defects on behalf of our customers and enhance their experience.

On the Americas CX analytics team, you will be surrounded by people that are exceptionally talented, bright, and driven, and believe that world class BI is critical to our success. To help build this growing team, you must be highly analytical and possess a strong passion for analytics and accountability, set high standards with a focus on superior business success.

In this position, we are looking for a Sr. BI Engineer with experience in applying analytics to solve complex business problems. The ideal candidate has a demonstrable track record of success in driving business impact through application of analytics. As a BI Engineer, you will work closely with internal stakeholders to perform data analyses, develop complex SQL queries for ad-hoc requests and projects, define metrics through your deep understanding of the business and create self-service dashboards/reports to bring visibility into health of the business. You will exercise your technical skills in SQL, Python or other data analysis tools and visualization tools such as QuickSight in order to produce reports and build dashboards that are flexible and information-rich.

Key job responsibilities

• Provides robust BI solutions for complex problems, that are extensible and scalable.

• Understand high-level business objectives and continually align work with those objectives to meet needs of business

• Refine data strategies that cut across functional teams and make technical trade-off decisions for long term/short-term needs.

• Learn and understand a broad range of Amazon's data resources and know how, when, and which to use and which not to use

• Support cross-functional teams on the day-to-day execution of projects and initiatives.

• Serve as liaison between the business and analytics team to achieve the goal of providing actionable insights into current business performance, and ad-hoc investigations to support future improvements or innovations. This will require data gathering and manipulation, problem solving, and communication of insights and recommendations.

• Drives best practices in operational excellence, data modelling, and analysis. Ensure that BI solutions are correctly and efficiently supporting the business.

• Write high quality code to retrieve and analyze data and build data visualizations to tell the story of business trends, patterns, and outliers through rich visualizations.

A day in the life

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:

1. Medical, Dental, and Vision Coverage

2. Maternity and Parental Leave Options

3. Paid Time Off (PTO)

4. 401(k) Plan

We are open to hiring candidates to work out of one of the following locations:

Seattle, WA, USA

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 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

• Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

• Bachelor's Degree

Preferred Qualifications

• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift

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 $79,600/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.