Data Analyst I – Sustainable Insights & Dashboards

Verdantas; Maine; On-site; USD 60,000 - 74,000; Full time

Benefits offered by this job

Flexible Work Environment

Paid Parental Leave

Medical

Dental

Vision

Life Insurance

Disability Insurance

401(k) Matching

Paid Time Off

Job summary

Verdantas, a leading environmental consulting firm, is seeking a Data Analyst I who will support stormwater invoicing and apply data analytics to real-world projects across our teams.

You will collect, clean, and organize data from multiple sources; develop dashboards and reports to communicate insights; analyze datasets to identify trends and opportunities for improvement; collaborate with cross-functional teams to align data needs with business objectives.

Qualifications

• Bachelor’s degree in a data-related field.
• Strong analytical and problem-solving skills with attention to detail.
• Familiarity with Excel and data visualization tools (Power BI, Tableau).
• Exposure to SQL, Python, or R is a plus.
• Ability to communicate findings clearly and collaborate.

Responsibilities

• Collect, clean, and organize data from multiple sources.
• Develop dashboards and reports to communicate insights.
• Analyze datasets to identify trends and opportunities for improvement.
• Collaborate with cross-functional teams to align data needs with business objectives.
• Document data processes and ensure data accuracy and consistency.
• Gain exposure to real-world analytics in consulting and projects.

Skills

Analytical thinking

Data visualization

Communication

Collaboration

Attention to detail

Fast learner

Education

Bachelor’s degree in Data Analytics/Data Science/Statistics/CS/Engineering

Tools

Excel

Power BI

Tableau

SQL

Python/R

Job description

Verdantas, a leading environmental consulting firm, is seeking a Data Analyst I who will support stormwater invoicing and apply data analytics to real-world projects across our teams.

You will collect, clean, and organize data from multiple sources; develop dashboards and reports to communicate insights; analyze datasets to identify trends and opportunities for improvement; collaborate with cross-functional teams to align data needs with business objectives.