Description The Data eNgineering and Analytics (DNA) Wizardry team is excited to have a new wizard join our coven! The DNA team spans across Data Architecture (DA), Data Engineering (DE), Business Intelligence (BI) and Data Science (DS) functional areas, and is responsible for providing data and analytic solutions for the North American Stores (NAS) Organization. This Sr. BIE role will own the data pipelines and final customer interfaces (Turismo, QuickSight) for the NAS Organization. This role will build core metrics and deep dive them to generate insights that directly impact organizational strategic decisions and priorities. The role requires high proficiency in complex SQL and Python scripting, often joining together multiple types of data sets that range from normalized summaries to raw information spanning many diverse sources. The role will need to have a high bar for ownership and work autonomously to create high-quality products for the customer (internal). The role is required to communicate project roadmap, prioritization, and release notes of new products with customer and stakeholder groups up to senior leadership. In addition, this role will influence our team and customers to build scalable and sustainable analytic solutions. They will review product development and provide mentorship on projects. Key job responsibilities -Develop and drive best practices to align with our theme, Accuracy, Complete and Timely (ACT) information: data integrity, test design, analysis, validation, and documentation -Mine data from database tables (ex. Redshift, MySQL, Oracle) using SQL and log files by writing scripts (ex. PERL, Python, UNIX) -Build solutions to have maximum scale and self-service ability for stakeholders -Own the design and development of metrics, analyses, dashboards, etc. to drive key business decisions -Produce written recommendations and insights for key stakeholders that will help shape effective metric development and reporting -Lead the design, implementation, and deployment of BI solutions for complex and ambiguous problems -Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to key stakeholders -Simplify and automate reporting, audits and other data-driven activities -Partner with our Data Engineering team to enhance data infrastructure, data availability, and broad access to customer insights -Learn new technology and techniques to meaningfully support product and process innovation -Partner with Engineering teams to enhance data infrastructure, data availability, and broad access to customer insights -To develop and drive best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation -Learn new technology and techniques to meaningfully support product and process innovation A day in the life In this role, you will transform complex data into actionable insights. Your data-driven solutions will influence strategic planning and inform daily decision-making. You will leverage a range of descriptive, diagnostic, predictive, and prescriptive analytics techniques to uncover insights and opportunities. About the team Our mission is to simplify data-driven decision making for customers through effective analytics solutions. We deliver accurate, complete, and timely information while maintaining rigorous quality standards. The solutions transform complex data into actionable insights, eliminating the need for technical expertise. This enables customers to optimize their business performance through direct data analysis. The team builds robust processes and identifies improvement opportunities while partnering with stakeholders to enhance internal systems. We ensure proper data governance, visibility, and accessibility for all managed datasets. Our solutions focus on improving business performance (Increase Sales, Decrease Time and/or Reduce Cost) for the NAS organization. Basic Qualifications - 7+ years of SQL experience - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience working directly with business stakeholders to translate between data and business needs - Experience building measures and metrics, and developing reporting solutions Preferred Qualifications - Knowledge of data warehousing and data modeling - Experience with AWS technologies - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with operations/supply chain - Experience with theory and practice of information retrieval, data science, machine learning and data mining 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. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/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.