Environmental Data Analyst

Vintti is a specialized staffing agency that believes diversity is the catalyst for innovation. We connect US-based SMBs, startups, and firms with exceptional talent from Latin America, fostering a rich tapestry of cultural perspectives within American businesses. Our unique position allows us to handpick professionals who not only possess the required skills but also bring fresh ideas and global insights to the table. Vintti's services go beyond filling positions; we enrich company cultures and expand business horizons on an international scale.

An Environmental Data Analyst plays a crucial role in analyzing and interpreting data related to environmental factors to help organizations make informed decisions. They gather and process data from various sources such as air quality monitors, water quality tests, and climate models. Utilizing statistical software and data visualization tools, these analysts identify trends, patterns, and correlations in the data, contributing to environmental policy-making and sustainable practices. Their work supports efforts in reducing pollution, managing natural resources, and understanding the impacts of environmental changes, ultimately aiming to promote a healthier and more sustainable environment.

- Bachelor's degree in Environmental Science, Data Science, Statistics, Geography, or related field
- Master's degree preferred
- Proven experience in environmental data analysis or related field
- Proficiency in statistical software such as R, Python, or MATLAB
- Experience with Geographic Information Systems (GIS) and remote sensing data
- Strong analytical and problem-solving skills
- Ability to interpret and synthesize complex datasets
- Excellent report writing and presentation skills
- Knowledge of environmental regulations and compliance standards
- Familiarity with data collection methodologies and sampling strategies
- Strong organizational and time management skills
- Ability to work collaboratively in cross-functional teams
- Proficiency with database management and data visualization tools
- Strong attention to detail and commitment to data accuracy
- Experience with predictive modeling and machine learning techniques
- Flexibility to participate in fieldwork as necessary
- Strong communication skills, both written and verbal
- Ability to provide technical support and training
- Experience in preparing grant proposals and project funding applications
- Familiarity with current trends and advancements in environmental science
- Ability to work independently and manage multiple tasks simultaneously
- Valid driver's license (for fieldwork participation)

- Collect and analyze environmental data from various sources
- Utilize statistical software to interpret complex datasets
- Identify patterns and trends in environmental data
- Prepare detailed reports, visualizations, and summaries of findings
- Design and implement data collection methodologies
- Ensure the quality and accuracy of environmental data
- Monitor environmental indicators and assess impacts of changes
- Collaborate with scientists, engineers, and policy makers
- Maintain and update environmental databases
- Develop and apply predictive environmental models
- Ensure compliance with environmental data regulations
- Conduct audits of data collection processes and tools
- Provide technical support and training on data analysis techniques
- Participate in fieldwork for primary data collection
- Stay updated with advancements in environmental science and tools
- Assist in preparing grant proposals and funding applications
- Liaise with government agencies, NGOs, and stakeholders

The ideal candidate for the Environmental Data Analyst position will possess a Master's degree in Environmental Science, Data Science, Statistics, Geography, or a related field, and demonstrate significant experience in environmental data analysis, preferably within a research or applied context. They will exhibit strong proficiency in statistical software such as R, Python, or MATLAB, alongside experience with Geographic Information Systems (GIS) and remote sensing data. This candidate will have exceptional analytical and problem-solving skills, with a proven ability to interpret and synthesize complex datasets into coherent reports and visualizations. They will exhibit meticulous attention to detail and a commitment to data quality and accuracy, ensuring compliance with environmental regulations. This individual will be an excellent communicator, capable of writing detailed reports, presenting findings, and providing technical support and training to team members. They should possess strong organizational and time management abilities, allowing them to manage multiple tasks and projects simultaneously. The ideal candidate will be a proactive, adaptable, and innovative thinker, able to work independently as well as collaboratively within cross-functional teams including scientists, engineers, and policy makers. They will have a passion for environmental sustainability, staying current with the latest advancements in environmental science and data analysis techniques. This individual will also have a resilient and hands-on approach, ready to participate in fieldwork as needed. Additionally, experience in preparing grant proposals and funding applications, leadership potential, and a valid driver’s license are important attributes that will set the ideal candidate apart in this role.

- Collect and analyze environmental data from various sources such as remote sensing data, field observations, and existing databases
- Utilize statistical software and tools to interpret complex datasets and identify patterns or trends
- Prepare detailed reports, visualizations, and summaries of findings to communicate results to stakeholders
- Design and implement data collection methodologies and sampling strategies to ensure data quality and accuracy
- Monitor environmental indicators and assess the impacts of environmental changes
- Collaborate with cross-functional teams including scientists, engineers, and policy makers to support environmental research projects
- Maintain and update databases to ensure the integrity and accessibility of environmental data
- Develop and apply models to predict environmental trends and outcomes
- Ensure compliance with environmental regulations and standards when handling sensitive data
- Conduct regular audits of data collection processes and tools to ensure continuous improvement
- Provide technical support and training to team members on data collection and analysis techniques
- Participate in fieldwork when necessary to gather primary data and validate remote sensing or modeled results
- Stay updated with advancements in environmental science, data analysis techniques, and software tools
- Assist in the preparation of grant proposals and project funding applications by providing necessary data analysis and documentation
- Liaise with governmental agencies, NGOs, and other stakeholders to share data findings and collaborate on environmental initiatives

- Detail-oriented with a high level of accuracy
- Strong analytical thinker with problem-solving abilities
- Excellent communicator, both written and verbal
- Proactive and able to work independently
- Collaborative team player with cross-functional cooperation
- Adaptable and open to continuous learning
- Highly organized with strong time management skills
- Technologically proficient and comfortable with new software tools
- Innovative with a forward-thinking approach
- Committed to environmental sustainability and data integrity
- Ability to thrive in a fast-paced, dynamic environment
- Strong leadership potential with mentoring capabilities
- Resilient with the capacity to handle fieldwork challenges
- Passionate about environmental science and data analysis
- Ethical and compliant with regulatory standards

- Competitive salary range
- Comprehensive health insurance (medical, dental, vision)
- Retirement savings plan with employer matching
- Paid time off (PTO) and holiday leave
- Flexible work hours and remote work options
- Professional development opportunities and training programs
- Tuition reimbursement for advanced degrees and certifications
- Wellness programs and employee assistance programs (EAP)
- Travel allowance for fieldwork
- Company-sponsored events and team-building activities
- Access to cutting-edge data analysis tools and software
- Career advancement and growth opportunities
- Supportive and inclusive work environment
- Employee recognition and rewards program
- Parental leave and family support benefits
- Eco-friendly workplace initiatives and sustainability programs
- On-site fitness center or gym membership subsidies
- Commuter benefits or transportation subsidies
- Discounted company products or services