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Research Analyst Mobility


CEEW


Location

Delhi | India


Job description

The Sustainable Mobility team at CEEW is looking for a Research Analyst to join our dynamic team, dedicated to transforming road transport

Our focus spans various vehicles - from 2 and 3-wheelers to cars, buses, and medium and heavy-duty trucks

As part of our team, you will be crucial in fostering evidence-based policymaking that empowers and informs city, state, and national governments, nodal agencies, academia, policymakers, industry stakeholders, and the general public

This position primarily defines, develops, and implements innovative data-driven solutions to understand and predict EVs adoption and usage patterns (driving and charging), future charging infrastructure requirements, and energy-transport nexus such as renewable energy integration, smart charging, vehicle-to-grid and green hydrogen

The role requires exceptional programming and analytical proficiency

We welcome a broad spectrum of applicants: whether youre seasoned in your field, a recent graduate, or have specialised knowledge

What truly sets you apart is your enthusiasm for sustainable transportation, your curiosity to apply data science in addressing real-world challenges, and your eagerness to learn and evolve

Job duties and accountabilities

Research and Project Management Unit Support:

Assist the team in generating snackable insights and compelling data visuals for the organisation s social media platforms.

Conduct analyses involving a combination of multiple complex data layers, network analysis and detailed visualisation of the outputs. These data layers will include information on public transit, socio-economics of population, people movement, road-safety, pollution, congestion, land-use, and survey data.

Clean, manage, and analyze extensive data sets, generating valuable insights that address primary research questions and objectives..

Meticulously extrapolate and validate data, analysis, and research conducted by analysts. Responsible for evaluating, organizing, and refining this data into comprehensive yet concise reports and other materials, ensuring clarity, accuracy, and effectiveness in communication

Formulate, develop and apply predictive analysis, supervised and unsupervised learning and statistical (exploratory and confirmatory) techniques.

Geoinformatics and geospatial analytics using GIS software (e.g., QGIS, ArcGIS)

Ability to communicate findings through comprehensive reports and presentations tailored for diverse audiences.

Support our stakeholder engagements by actively seeking new partnerships and maintaining existing relationships.

To generate knowledge content blogs, articles, briefs in regular intervals.

Support specific projects and overall activity planning related to electric vehicle transition and sustainable mobility research. Facilitate collaboration and integration of efforts across various research teams.

Q ualification

Masters in Science / Engineering / Technology / Economics

Work experience

1+ years experience.

Candidates who may not meet the minimum work and or education qualification experience requirement but possess comparable expertise and skills in relevant areas are also encouraged to apply. Such candidates should demonstrate a strong foundation in data science and a clear understanding of electric vehicle technologies, energy research or mobility analytics

Key skills

Intermediate to preferably advanced levels of software and computer programming proficiency (e.g., SQL, JAVA, HTML, VBA, Python)

Intermediate to preferably advanced quantitative, data analytics and modelling experience (e.g., R, SPSS, STATA)

Intermediate to preferably advanced levels of proficiency in scraping, extracting, collating and organizing web-based information (e.g., Selenium, BeautifulSoup, HTML, CSS, Javascript)

Intermediate to preferably advanced data visualization (e.g., Tableau, Power BI) and spatial analysis (QGIS or ArcGIS is a must).

Must have strong research skills capability to carry out literature review is a key requisite.

Excellent communication and interpersonal skills.

Willingness to work on multi-disciplinary projects.

Ability to think on your feet for solving complex and evolving problems in mobility.

Additional Considerations:

Background and experience in one or more of the following sub-themes is a plus

Comparative techno-economic assessments of different powertrains and fuel, vehicle stock and flow dynamics, traffic flow and travel demand modelling

Fundamentals of EVs technology, charging and their economic and environmental benefits

Collect, compile and integrate diverse data sources, types and format spatial data to inform EV charging infrastructure roll-out, grid integration considerations, asset utilization, optimal sizing and siting.

Awareness of EV policies at national to city/local levels.

Charging infrastructure deployment strategies, especially along highway corridors for facilitating inter-city and long-distance travel.


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