Data and Mapping roles

About the role

Data analysts and mappers take all the information that has been collected, analyse it and present it in ways that are easy to understand, often as maps showing the distribution (and possibly condition or abundance) of different habitats and species. They can also use information to model different scenarios and show what the effects of different ways of managing the area might do to the animals and plants that live there. Data analysts and mappers are crucial in efforts to help nature recover from decades of habitat loss.

Responsibilities

• Analyse data to identify patterns and trends
• Create maps and visualizations to represent data
• Develop models to predict outcomes based on different scenarios
• Collaborate with ecologists and other scientists to interpret findings
• Use various software tools to process and analyze large datasets

Requirements

• A degree in ecology or environmental management
• A strong background in IT and software applications
• Excellent analytical and problem-solving skills
• Ability to work independently and as part of a team
• Good communication and presentation skills

Qualifications

Whilst they may have done an ecology or environmental management degree, data analysts and mappers are more likely to have a strong IT background and be good at using different types of software.

Skills

• Data analysis
• Software proficiency (e.g., GIS, R, Python)
• Visualisation and mapping
• Modeling and scenario analysis
• Collaboration and teamwork
• Communication and presentation skills

Benefits

Working in the field of data and mapping can provide opportunities to contribute to conservation efforts and make a positive impact on the environment. It can also offer flexibility in terms of working hours and locations, depending on the employer.

Pay

Pay scales can vary widely depending on experience, location, and the specific role. Generally, salaries for data analysts and mappers in the environmental sector can range from £25,000 to £60,000 per year.

Schedule

The schedule for data analysts and mappers can vary depending on the employer and the specific project. Some roles may require regular travel to field sites, while others may involve mostly office-based work.

Benefits

• Flexible working arrangements
• Opportunities for professional development and training
• Challenging and rewarding work
• Opportunities to work with diverse datasets and technologies