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Description

Are you excited about driving business growth for millions of sellers through application of BI, machine learning, and advanced computer science? Do you thrive in a fast-moving, large-scale environment that values data-driven decision making, robust engineering, and sound scientific practices? We're looking for a proven Business Intelligence Engineer who can help take the seller experience to the next level by developing scalable data systems and reports behind key Selling Partner tools and experiences.

In this role, you will work closely with applied scientists, software engineers, senior leaders, stakeholders, and product teams across Amazon to build a variety of data solutions that drive strategic decisions directly impacting Selling Partner business growth.

As an Amazon Business Intelligence Engineer you will be working in one of the world's largest and most complex data warehouse environments. This role will have an opportunity to build our data infrastructure, work with emerging technologies such as Redshift, QuickSight, Andes, Sage Maker and EMR, while driving business intelligence solutions end-to-end. This includes business requirement gathering, data pipelines, and dashboard development. The role requires someone who loves data, understands enterprise information systems, and has a strong business sense.

Key job responsibilities

• Data Pipeline Development & Support: Design, implement, and support a scalable and reliable infrastructure for Data Pipelines supporting BI and Analytics use cases to drive key business decisions.

• Data Collection and Analysis: Gathering relevant data from various sources, such as databases, spreadsheets, and software systems, and organizing it in a structured manner. Utilize tools like Python, SQL, Scala, Excel, or data visualization software like QuickSight to clean, transform, and analyze the data to identify patterns, trends, and insights.

• Report Development: Creating reports and dashboards using various technologies (i.e. QuickSight, PHP, Python, Java, and AJAX) that effectively communicate data-driven insights to stakeholders. Design and develop templates, charts, graphs, and visualizations that present information in a clear and understandable format.

• Data Interpretation: Conduct deep dive analyses of business problems and translate them into meaningful conclusions and actionable recommendations to be presented to senior leadership.

• Report Automation: Implementing automation processes to streamline data collection, analysis, and report generation. Leveraging tools and technologies to automate repetitive tasks, reduce manual errors, and improve the efficiency of reporting processes.

• Data Quality Assurance: Ensuring the accuracy, integrity, and consistency of data by performing regular data audits and validation checks.

About the team

Our team owns an internal tool enabling Amazonian's to design, build and launch multi-channel communication experiences with Amazon's Selling Partners. Amazon teams WW use our product to communicate critical information to Selling Partners via email, text, mobile push, and more. We're working on increasing adoption of our product, and expanding functionality to build richer experiences. If you're interested in working on an established internal product, with aggressive user adoption and expansion.

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

Detroit, MI, USA | Seattle, WA, USA

Basic Qualifications

• 10+ years of professional or military experience

• 5+ years of SQL experience

• Experience programming to extract, transform and clean large (multi-TB) data sets

• Experience with theory and practice of design of experiments and statistical analysis of results

• Experience with AWS technologies

• Experience in scripting for automation (e.g. Python) and advanced SQL skills.

• Experience with theory and practice of information retrieval, data science, machine learning and data mining

Preferred Qualifications

• Experience working directly with business stakeholders to translate between data and business needs

• Experience managing, analyzing and communicating results to senior leadership

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 $104,300/year in our lowest geographic market up to $202,800/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.