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Data Analyst, Hybrid, Richmond VA (723393) at Richmond, Virginia, USA
Email: [email protected]
Hi Team,

Please help me with this position and share suitable candidate.

Role  - Data Analyst 3 (723393)

Start Date - 11/20/2023.

End Date - 06/30/2024

Location - Richmond VA 23219

Interview Either Phone or In Person

Work Arrangement- Hybrid

Complete Description:

**local Richmond, VA candidates required due to onsite requirement

*Candidate must also be able to work onsite 2-3 day/week

*parking not provided

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 (Part-Time) 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.

Require/Desire Skills

Data retrieval (UI, SQL, API)         Required            3            Years

Data Engineering (cleaning, preparation, validation)        Required            3              Years

Data analytics, integration, and visualization       Required            2              Years

Advanced Excel skills      Highly desired   3            Years

Visualization platforms: Tableau, PowerBI            Required            2              Years

Scripting/coding for data science: Python, R        Highly desired   2              Years

GIS tools: ArcMap, ArcGIS Pro    Highly desired   1            Years

Exposure to some transportation skills & concepts           Desired 2              Years

Data fusion        Desired 1            Years

Data science (model development, applying machine learning to transportation problems)            Nice to have      1            Years

Map conflation Nice to have      2            Years

Attention to detail          Required            2            Years

Strong organizational skills          Required            2            Years

Ability to work independently    Required            2            Years

Ability to present data in a format understandable to diverse audience              Highly desired   1            Years

Strong communication skills       Desired 1            Years

Question for Candidate

Question 1         Commonwealth of Virginia security policies prohibit the use of offshore IT contractors. Do you attest to the fact that your candidate will physically reside within the US for the duration of the assignment

Question 2         Please list candidate's email address.

Question 3         In what city/state does your candidate PERMANENTLY reside

Question 4         Is candidate willing and able to work onsite at VDOT in Richmond, VA 2-3 days/wk, per mgr NO exception

Question 5         Has candidate been submitted to previous VDOT Data Analyst reqs We need NEW candidates ONLY.

Question 6         How soon after an offer can your candidate start

 Mohit Arya

  Associate - Recruitment 

Tel:

(+1) 425-375-7232

2400 Meadowbrook Parkway, Duluth, GA 30096

www.innovasolutions.com

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Thu Nov 02 23:20:00 UTC 2023

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