Cubic Transportation Systems
Cubic offers an opportunity to provide innovative technology for government and commercial customers around the globe, helping to solve their future problems today. We're the leading integrator of payment and information technology and services for intelligent travel solutions worldwide, and the leading provider of realistic combat training systems, secure communications and networking and highly specialized support services for military and security forces of the U.S. and allied nations. If you have an entrepreneurial spirit and thrive in an innovative environment, we want to talk to you about your next role at Cubic! We are seeking employees inspired by technology, and motivated by the rewards of hard work, commitment, teamwork, quality, integrity, and respect. We invite you to explore opportunities with Cubic.
As a member of the data science team, solves complex problems using data analysis techniques throughout the entire data life cycle. Works with public and proprietary data to find new methods of data integration where relationships are often obscured. Designs repeatable and optimized workflows using SQL, python, and other scripting and programming languages to clean, transform, and prepare data for reporting. Uses visualization tools to assist with data validation, mining, pattern identification, and report building. Prepare and deliver oral or written presentations on findings from analyses. This position typically works under general supervision and direction. Incumbents of this position will regularly exercise discretionary and substantial decision-making authority.
Filters, cleans, and prepares large data sets for more advanced transformations.
Performs statistical analyses, develops new performance metrics, benchmarks, and indices.
Develops and documents new data models, ERDs, schemas, and data workflows.
Validates and controls the quality of produced data sets.
Researches, interprets and performs quantitative and qualitative analysis against transportation data on topics such as urban mobility, land use, growth management, demographic studies, economic development and housing.
Participates on project teams to develop new reporting and analysis tools and workflows.
Analyzes client information needs and business challenges to determine how they may be addressed through the delivery of customized decision support tools and services.
May interact with external customers .
Applies understanding of global and/or local trends and events (e.g., economics, social issues) to assist with the formulation of hypotheses and interpretation of data.
Stays current with technical and industry developments, analytics software/tools, and recognized best practices.
Minimum Job Requirements:
Four year university degree in computer science, statistics, economics, mathematics, operations research, informatics, or related field plus a minimum of two years of experience in a business analyst role. Master's degree in a related discipline is a plus. Experience in developing data warehouses, performing data analysis, database management, data integration, ETL, or similar roles required. Experience with SQL and using Access, MySQL, Oracle, and other RDMS required. Experience with Python, R, Hadoop, HQL, Pig, Oozie, Tableau, Qlikview/Qliksense preferred. Strong analytical and problem solving skills, attention to detail, critical thinking ability, and creativity required. Must have excellent written and verbal communication skills used to effectively communicate and clearly present complex information in a manner appropriate to the audience. Prior experience working in the transportation or logistics industries is a plus.
The description provided above is not intended to be an exhaustive list of all job duties, responsibilities and requirements. Duties, responsibilities and requirements may change over time and according to business need.