What are the responsibilities and job description for the Data Analyst - Transportation position at Wood Plc?
Overview / Responsibilities:
Wood Environment & Infrastructure Solutions is seeking a Data Analyst for our growing Transportation Asset Management practice. Wood is a leader in asset management with a focus on highways with increasing opportunities in other modes, and serving federal, state, and local DOTs. The position requires technical and communication skills to execute work with high technical quality. The ideal candidate is passionate about solving transportation data science challenges, from wrangling to modeling of data, and loves to learn and contribute skills to a small, growing data analysis team.
Wood’s Transportation Asset Management practice is based in metro Washington DC, with offices in Hanover, MD and Chantilly, VA and working nation-wide. Placement in any Wood office in the continental US is possible for the right candidate, with options for flexible, hybrid, or remote working schedule.Skills / Qualifications:
Basic / Required Qualifications
Company Overview:
Role Overview
Wood Environment & Infrastructure Solutions is seeking a Data Analyst for our growing Transportation Asset Management practice. Wood is a leader in asset management with a focus on highways with increasing opportunities in other modes, and serving federal, state, and local DOTs. The position requires technical and communication skills to execute work with high technical quality. The ideal candidate is passionate about solving transportation data science challenges, from wrangling to modeling of data, and loves to learn and contribute skills to a small, growing data analysis team.
Wood’s Transportation Asset Management practice is based in metro Washington DC, with offices in Hanover, MD and Chantilly, VA and working nation-wide. Placement in any Wood office in the continental US is possible for the right candidate, with options for flexible, hybrid, or remote working schedule.
Key Responsibilities
Contributes technical specialization in data science, including design and management of databases, data processing and analysis of client data- Contributes to research projects advancing the practice and to implementation projects improving the management of transportation infrastructure assets for the benefit of clients, system users, and society
- Contributes to complex projects and leads smaller projects or phases of large projects
- Assists developing new business through technical proposal development, networking, excellent client interaction, conference participation, and development of professional reputation
- Contributes positively to a committed, diverse, inclusive, professional team environment.
Basic / Required Qualifications
A bachelor or master’s degree in engineering, computer science, data science, statistics or other relevant discipline is required- Excellent analytical, problem solving, and data management skills
- Experience with large datasets, data processing, statistical analysis, modeling with use of data analysis tools such as R (preferred), Matlab, Phyton, and SQL
- Complementary skills in data visualization and web tools (e.g., R Shiny, PHP, HTML, JavaScript) are highly desirable
- Knowledge or experience with asset management principles and / or pavement and bridge data topics is advantageous
- You must be an excellent communicator to include technical writing, oral presentation, and facilitation
- Must demonstrate ability to lead tasks within projects and have excellent client service abilities
- Drug screen and background check.
Wood is a global leader in engineering and consultancy across energy and the built environment, helping to unlock solutions to some of the world’s most critical challenges. We provide consulting, projects and operations solutions in more than 60 countries, employing around 40,000 people. www.woodplc.com
Diversity Statement:
We are an equal opportunity employer that recognises the value of a diverse workforce. All suitably qualified applicants will receive consideration for employment on the basis of objective criteria and without regard to the following (which is a non-exhaustive list): race, colour, age, religion, gender, national origin, disability, sexual orientation, gender identity, protected veteran status, or other characteristics in accordance with the relevant governing laws.
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