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Key job responsibilities
- Develop and maintain dashboards using tools like Quicksight to visualize complex transportation data
- Create and optimize ETL pipelines to ensure data accuracy and accessibility- Automate processes to improve efficiency and scalability of data-driven decision making
- Partner with scientists, engineers, product managers, and program managers to build and productionize forecasting metrics; perform analysis to identify the root cause of issues and generate actionable insights to guide the appropriate solution
A day in the life
You will typically engage in a variety of activities, starting from sprint planning, which will lead to analyses, developing reports, tools, logic, coding, and driving projects with both tech and non-tech stakeholders. You will participate in brainstorming sessions, code reviews and analyzing results, and may partake in higher visibility meetings to drive improvements and deliverables. This will all roll up to impacting the transportation network with tangible, positive improvements for the customer.
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience writing complex SQL queries
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Knowledge of SQL and data warehousing concepts
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience with forecasting and statistical analysis
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