Data Analyst - Civil & Infrastructure Insights

CiviTronix

New York (NY)

On-site

USD 70,000 - 90,000

Full time

14 days+

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Job summary

An industry-leading engineering firm based in New York is seeking a skilled Data Analyst to collect, analyze, and interpret complex datasets. This role supports decision-making in transportation and infrastructure projects, optimizing processes while ensuring regulatory compliance. Candidates should have a Bachelor's degree in a relevant field and experience with data analysis tools, including SQL and Python. Join a dynamic team dedicated to enhancing project outcomes through data-driven insights.

Qualifications

  • Proven experience in data analysis, preferably in engineering or infrastructure sectors.
  • Strong proficiency in data analysis tools and programming languages.
  • Knowledge of data visualization platforms and statistical modeling techniques.

Responsibilities

  • Analyze and interpret large datasets related to civil engineering and environmental projects.
  • Support the development of reports, dashboards, and visualizations.
  • Collaborate with engineers to identify data needs and provide actionable insights.
  • Ensure data integrity through regular audits and cleaning processes.
  • Assist in regulatory compliance efforts by maintaining organized datasets.

Skills

Data analysis
SQL
Excel
Python
R
Data visualization
Problem-solving

Education

Bachelor's degree in Data Science, Engineering, Mathematics, or related field

Tools

Power BI
Tableau

Job description

An industry-leading engineering firm based in New York is seeking a skilled Data Analyst to collect, analyze, and interpret complex datasets. This role supports decision-making in transportation and infrastructure projects, optimizing processes while ensuring regulatory compliance. Candidates should have a Bachelor's degree in a relevant field and experience with data analysis tools, including SQL and Python. Join a dynamic team dedicated to enhancing project outcomes through data-driven insights.
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