Business Intelligence Engineer, Mechatronics and Sustainable Packaging
DESCRIPTION
Are 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 EMEA.
BASIC QUALIFICATIONS
- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience writing complex SQL queries
- 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
- Up to 75% travel expected.
PREFERRED QUALIFICATIONS
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
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