Business Intelligence Engineer , CX-Support

Business Intelligence Engineer , CX-Support

12 Mar 2024
Massachusetts, Boston, 02108 Boston USA

Business Intelligence Engineer , CX-Support

DescriptionAre you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Fulfillment Technologies & Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even image yet. The Mechatronics & Sustainable Packaging Customer Experience (MSP Cx) team is responsible for providing support to internal fulfillment and transportation network customers that rely on advanced robotics technology to fulfill and ship customer orders. In this role on the MSP Cx team, you will you will work directly with hardware engineers, operations managers, and support technicians working working within the MSP organization. You will use a combination of analytical, problem solving, technical, and communication skills to ensure that the business teams are able to make data-driven decisions. You will scope, design, develop, and maintain dashboards, data sources, and ad-hoc data analysis to support cross-functional customers and drive impactful data storytelling. A successful candidate will know and love working with business intelligence tools, can model multidimensional datasets, and can partner effectively with business leaders to answer key business questions. You are also expected to be able to work independently and with ambiguity in a complex, fast-paced, and high-throughput environment where multi-tasking is required.Key job responsibilities

Own the design, development, and maintenance of scalable solutions for metric monitoring, reports, analyses, dashboards, etc. to support analytical and business needs.

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

Build automated data solutions and dashboards to enable teams to self-service data needs.

Write queries to pull data needed with standard query syntax; periodically identify more advanced methods of query optimization. Convert data to make it analysis-ready.

Recognize and adopt best practices in reporting and analysis: data integrity, design, analysis, validation, and documentation.

Interact with internal stakeholders to lead business reviews and deep dive analyses.

Identify process and system improvement opportunities by monitoring existing metrics, analyzing data, and partnering with internal and operational teams.

Up to 75% travel expected.

Flexible locations across the US.

We are open to hiring candidates to work out of one of the following locations:Boston, MA, USA | Dallas, TX, USA | Edison, NJ, USA | Sumner, WA, USABasic 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)

Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports

Bachelor's degree in engineering, statistics, computer science, mathematics, or a related quantitative field

Preferred Qualifications

Master's degree, or Advanced technical degree

Knowledge of data modeling and data pipeline design

Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability)

Experience with statistical analysis, co-relation analysis

Experience with building and maintain basic data artifacts (e.g. ETL, data models, queries)

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 $65,800/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. Applicants should apply via our internal or external career site.

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