Easter Seals Jobs

Description

Are you interested in using data to drive the next phase of Amazon’s growth?

Amazon Fuse (https://www.amazonfuse.com/) helps subscription-based businesses better serve their customers by offering the selection, convenience and value customers have come to know and love from Amazon, including millions of Prime products and our full catalog of Prime Video.

The Fuse Data & Analytics (D&A) team is looking for a Business Intelligence Engineer to influence Fuse's direction using data insights. The ideal candidate is data-curious and possesses a strong analytical mindset. They excel at communicating with stakeholders and turning ambiguity and conjecture into actionable recommendations. They find opportunities where data will lead to better outcomes and mobilize the D&A team to meet them.

In this role, you will work with Product Managers, Software Engineers, Finance and Marketing Managers, as well as other data experts to build new decision models that optimize customer experience. We are seeking someone who can thrive in a fast-paced, high-energy work environment where we add value incrementally and frequently. We value highly technical people who know their subject matter deeply and are willing to learn new areas. We look for individuals who think like owners to develop themselves, their colleagues, and their team.

Key job responsibilities

Measure and report on the customer lifecycle funnel to improve customer targeting and signup experience.

Define and instrument new metrics in conjunction with Product Management.

Be customer-obsessed on behalf of our reporting customers. Set and enforce high reporting standards across the team.

Partner with Program Management to engage disparate stakeholder groups, distill ambiguous requests into estimates and crisp deliverables, and deliver effectively to schedules.

Basic Qualifications

• 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience

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

• Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)

• Experience with scripting language (e.g., Python, Java, or R)

Preferred Qualifications

• Master's degree, or Advanced technical degree

• Knowledge of data modeling and data pipeline design

• Experience with statistical analysis, co-relation analysis

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 $74,100/year in our lowest geographic market up to $165,600/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.