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Evidence advisor, data analysis and statistics (fixed term) - 31375

Preston (Lancashire)
Environment Agency
Will advisor
Posted: 9 July
Offer description

Evidence Advisor, Data Analysis and Statistics (Fixed Term) - 31375

The Environment Agency (EA) is committed to fostering an inclusive workforce that reflects the communities we serve. We value diversity and aim to create an environment where everyone can thrive.

Are you passionate about leveraging data to make a tangible impact on environmental issues? Do you enjoy analyzing complex environmental data and telling compelling stories about water ecosystems?

We are looking for two Evidence Advisors to join the EA’s Natural Capital and Ecosystem Assessment (NCEA) Programme. The role focuses on designing and analyzing data from water monitoring networks covering rivers, streams, groundwater, lakes, estuaries, and coasts.

The NCEA programme is part of a wider initiative led by Defra, aimed at gathering comprehensive data on ecosystems to highlight their benefits for society and the economy. Your analyses will support policy and decision-making to help the UK meet its environmental, net zero, and biodiversity goals.


Key Responsibilities:

* Provide statistical expertise in network design and implementation related to hydrogeology, freshwater ecology, or coastal environments.
* Work with network designers to ensure data collection is unbiased and representative.
* Apply analytical techniques to evaluate network performance and interpret environmental data.
* Develop reproducible data analysis pipelines.
* Conduct exploratory data analyses to identify environmental relationships, utilizing domain knowledge and systems mapping.
* Integrate diverse datasets for regional and trend analysis reporting.
* Contribute to developing metrics and indicators and advise on future reporting needs.

This is a fixed-term contract until 30/05/2027.


The Team:

You will be part of the Data Analysis and Statistics work package within the NCEA programme, supported by the Strategic Evidence Design and Assessment (SEDA) team. We promote a friendly, inclusive, and development-focused work environment with training and support provided.


Experience and Skills Required:


Background & Knowledge:

* A degree or higher in environmental science, hydrogeology, freshwater ecology, with data analysis and statistics training.
* Understanding of freshwater, coastal, estuarine, or groundwater management and monitoring.
* Experience analyzing environmental data and statistical modeling, with awareness of data complexities and biases.
* Familiarity with current environmental data science practices.
* Experience with statistical model fitting and robustness testing is advantageous.


Key Skills:

* Self-motivated with the ability to work independently.
* Strong communication skills, both written and oral.
* Proficiency in R programming.
* Detail-oriented with a passion for data analysis and problem-solving.
* Ability to collaborate with stakeholders.
* Excellent organizational skills to manage workload and deadlines.
* Interpersonal skills to build trust and gain buy-in.


Additional Information:

Flexible/hybrid working arrangements are available. Travel may be required for team meetings in Birmingham/Bristol. For more details, contact eleanor.d'arcy@environment-agency.gov.uk, lesley.rippon@environment-agency.gov.uk, or elena.armenise@environment-agency.gov.uk. Interviews will be via MS Teams within two weeks of the closing date.

Applicants may be placed on a reserve list for six months for potential alternative roles.


Competencies:

* Numerical Modelling and Forecasting: Interpreting environmental data for forecasting trends and outcomes.
* Achieves Results: Meeting targets and managing priorities effectively.
* Focuses on Efficiency, Innovation, and Quality: Developing improved methods and solutions.
* Data and Information Management: Managing complex datasets, ensuring quality, and integrating data sources.

We value diversity and encourage flexible working arrangements. We are committed to providing an inclusive environment and guarantee interviews for disabled applicants meeting minimum criteria.

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