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Key job responsibilities
• Understand the performance and operational characteristics of sortable (IXD & ARS) and non-sortable systems from inbound to outbound dock across all building generations
• Own the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs.
• Develop and provide analysis of actionable findings from key metrics or problems. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations
• Work with product and program managers to build data sets and other products that answer their specific business questions
•Collaborate with Data Engineers (DEs) and Business Intelligence Engineers (BIEs) to create data pipelines, and automate manual processes using scripting languages such as Python
• Interface with technology teams to extract, transform, and load data from a wide variety of data sources
• Lead deep dive analysis of business problems, formulate conclusions and recommendations to be presented to senior leadership
• Produce written recommendations and insights for key stakeholders that will help shape effective metric development and reporting
- 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 data modeling, warehousing and building ETL pipelines
- 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
- Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)
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