| Data Analyst | LOCAL-Richmond, VA-Hybrid | Contract | Any Visa at Richmond, Virginia, USA |
| Email: [email protected] |
|
http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=823558&uid= Please share resume to [email protected] Role: Data Analyst Job Type: Contract Location : Richmond, VA Hybrid (2-3 days/ week) * Any Visa Rate is low *Interview: Video *Parking not provided * LinkedIn is required. JOB DESCRIPTION: Perform Traffic Data Analytics tasks like data acquisition and cleaning; processing; validation; fusion & conflation; analytics, reporting & visualization; prototype pilot VDOT projects; and ad-hoc analyses. The selected Program Analyst Traffic will be engaged in various aspects of Traffic Data Analytics tasks including but not limited to the following: Data acquisition, cleaning and preparation tasks require working with many transportation and non-transportation data sets e.g. speed, volume, AADT(Average Annual Daily Traffic), road geometry and characteristics, socio-demographics data, posted speed limits, weather, work zone information, crash and incident data, pedestrian and bicycle data, and others, and obtaining those through different means such as: graphical user interfaces, APIs, direct access to back-end databases either internally from VDOT or from third party vendor and archives. Data cleaning and preparation steps will be needed, especially for free-form text fields, and they may be different based on the data set and source. Data fusion tasks require merging or aligning (fusing) data sets on the spatial(location) or temporal (point in time or similar period of year and time of day)dimensions, in a redundant (same attributes) or complementary (different attributes) fashion. Data analysis and visualization tasks will require the incumbent to apply tried-and-true but also new-and-innovative methods to identify historical travel trends, conduct Before-and-After studies, perform congestion and reliability analyses for specified areas and time periods of interest, identify locations and time periods experiencing unusual traffic behavior. Analysis results will be presented in a format and at a level of detail appropriate for the audience, through interactive and static charts, graphs, and maps. GIS and map conflation will require leveraging existing map conflation tools and algorithms, but in some cases development of new algorithms and methods maybe necessary. Either way, manual checking and validation of conflation will be needed since conflation algorithms are not perfect and do not cover all real-life situations. Some research to perform the above tasks will be needed. Research will include but not be limited to literature review of transportation data analytics algorithms, investigating the feasibility and usability of incorporating new data sources into analytics algorithms to improve accuracy and relevance of results, traffic forecasting methods. Years of experience need to be answered : Data retrieval (UI, SQL, API) 3 Required: Data Engineering (cleaning, preparation, validation) 3 Required: Data analytics, integration, and visualization 2 required: Advanced Excel skills Highly desired: Visualization platforms: Tableau, PowerBI 2 required: Scripting/coding for data science: Python, R Highly desired: GIS tools: ArcMap, ArcGIS Pro Highly desired: Exposure to some transportation skills & concepts Desired: Data fusion Desire: Data science (model development, applying machine learning to transportation problems) Nice to have Map conflation Nice to have -- Keywords: user interface active directory rlang information technology Virginia http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=823558&uid= |
| [email protected] View All |
| 07:39 PM 03-Nov-23 |