Why This Role Stands Out
This fully remote Data Analyst role offers a fantastic opportunity to leverage your analytical expertise in R, SQL, and visualization tools to drive impactful solutions for transportation safety alongside federal partners. You'll thrive here if you possess strong problem-solving skills and a passion for transforming complex data into actionable insights, contributing to significant advancements in a crucial sector.
Quick Overview
Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
3 weeks ago
MATLABOracleSQLTableauPower BIPython
Job Description
Data Analyst - 100% Remote
We are seeking a Senior Data Analyst with a strong analytical mindset and a passion for improving transportation and transportation safety. This role involves working on innovative projects with our Federal partners at the Volpe National Transportation Systems Center. If you have a proven track record in data analysis, a keen eye for detail, and a desire to make meaningful contributions in solving transportation-related challenges, we’d like to hear from you.
Key Responsibilities:
- Provide technical and analytical support for research initiatives and decision-making at multiple levels within government agencies or industry.
- Collect, cleanse, and analyze large and complex data sets.
- Utilize tools like R, SQL, and either Tableau or PowerBI to create data-driven solutions.
- Apply modeling and statistical techniques to identify, analyze, and interpret patterns and trends.
- Collaborate with teams to assess and solve transportation-related problems.
- Develop visualizations, reports, and dashboards that effectively communicate findings to stakeholders.
Qualifications:
- Work Authorization: Must be authorized to work in the US.
- Experience: 8+ years in data analysis, with expertise in:Collecting, preparing, and cleansing large data sets.
- Analyzing structured and unstructured data.\
- Developing insights and recommendations through data visualizations.
- Education: Bachelor’s or Master’s degree in Engineering, Mathematics, Statistics, Computer Science, Information Technology, or a related field.
Technical Skills:
- Proficiency in R, SQL, and data visualization tools such as Tableau or Power BI.
- Expertise in statistical analysis, modeling, and database design.
- Experience with programming tools like Python, Oracle, MATLAB, etc.
Soft Skills:
- Strong analytical and critical thinking abilities.
- Excellent written and verbal communication skills.
- Curious and inquisitive nature with a desire to explore new approaches to problem-solving.
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