Data Analyst - PowerBi, ArcGIS & Water Resources
Data Analyst - PowerBi, ArcGIS & Water Resources

Data Analyst - PowerBi, ArcGIS & Water Resources

Full-Time 28800 - 42000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead data collection and visualisation for environmental projects using Power BI and ArcGIS.
  • Company: Join Water Resources East, a leader in tackling water resource challenges in Eastern England.
  • Benefits: Enjoy flexible working, 26-30 days leave, private health insurance, and a generous pension scheme.
  • Why this job: Make a real impact on nature recovery while working in a supportive, inclusive team.
  • Qualifications: Experience with Power BI, ArcGIS, and managing complex datasets is essential.
  • Other info: Home-based role with monthly travel; applications without relevant experience will not be considered.

The predicted salary is between 28800 - 42000 £ per year.

Data Analyst – Nature Recovery & Water ResourcesFull-time | Permanent | Home-based with monthly travel to Eastern England/London | Competitive salary + excellent benefitsAllen & York are proud to be partnering with Water Resources East (WRE) to recruit a Data Analyst who’s passionate about the power of data in tackling environmental and water resource challenges.You’ll play a pivotal role in shaping WRE’s Regional Water Resources Plan and catchment-scale Environmental Destination investigations – key to driving nature recovery and water resilience in Eastern England.Working closely with WRE’s Technical Director and team, you’ll lead on the collection, management, and visualisation of environmental data, support development of GIS and dashboard tools, and act as a key liaison with technical stakeholders including the Environment Agency and Rivers Trust.Key responsibilities:Experience of managing and improving environmental/water resource datasets and data quality controls is essential.Develop dashboards, GIS tools, and visualisations (e.g. using Power BI, ESRI ArcGIS)Support data sharing platforms (SharePoint) and legal compliance on data licensingProvide insights from models and national screening tools to inform cross-sector planningDrive accessibility and clarity of data for diverse users and stakeholdersAbout you:You’ll have experience managing complex datasets and working with data visualisation and GIS software. You’ll be detail-driven, collaborative, and confident presenting data to both technical and non-technical audiences. Power BI, SharePoint and ESRI ArcGIS knowledge is key.Why join WRE?You’ll be part of a values-led, inclusive, home-based team with monthly in-person meetups. Benefits include:26–30 days’ annual leaveUp to 12% pension contributionBonus schemePrivate health insuranceFlexible working hoursOngoing training and developmentApply now or contact Michelle Luck at mluck@allen-york.com for more info.Please note: Applications without relevant experience with Power Bi, ArcGIS and Water Resources will not be considered.Allen & York – matching purposeful people with purpose-led organisations for over 30 years.About us:Allen & York have been matching purposeful people with purpose-led organisations for 30 years. We partner with our clients and candidates on roles that build an understanding of climate change, promote sustainability and create inclusive and responsible organisations, working towards a sustainable world for us all. Committed to inclusiveness in the workplace, we aim to increase diversity across all areas and therefore welcome applications from all qualified candidates, regardless of their ethnicity, race, gender, religious beliefs, sexual orientation, age, or whether or not they have a disability. Let\’s help build a better world, together.

Data Analyst - PowerBi, ArcGIS & Water Resources employer: LinkedIn

Water Resources East (WRE) offers an exceptional opportunity for a Data Analyst passionate about environmental challenges, providing a supportive and inclusive home-based work culture with monthly meetups. Employees enjoy generous benefits such as 26–30 days of annual leave, up to 12% pension contributions, and ongoing training, all while contributing to meaningful projects that drive nature recovery and water resilience in Eastern England.
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Contact Detail:

LinkedIn Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Analyst - PowerBi, ArcGIS & Water Resources

✨Tip Number 1

Familiarise yourself with the specific tools mentioned in the job description, such as Power BI and ESRI ArcGIS. Consider taking online courses or tutorials to enhance your skills and demonstrate your commitment to mastering these platforms.

✨Tip Number 2

Network with professionals in the environmental and water resource sectors. Attend relevant webinars or local meetups to connect with individuals who work at organisations like Water Resources East, as they may provide insights or even referrals.

✨Tip Number 3

Prepare to discuss your experience with managing complex datasets and data visualisation during interviews. Think of specific examples where you successfully improved data quality or created impactful visualisations that influenced decision-making.

✨Tip Number 4

Stay updated on current trends and challenges in water resources and environmental data management. Being knowledgeable about recent developments will help you engage in meaningful conversations with interviewers and showcase your passion for the field.

We think you need these skills to ace Data Analyst - PowerBi, ArcGIS & Water Resources

Data Management
Environmental Data Analysis
Power BI
ESRI ArcGIS
Data Visualisation
Dashboard Development
SharePoint
Data Quality Control
Stakeholder Engagement
Technical Communication
Problem-Solving Skills
Attention to Detail
Collaboration
Legal Compliance on Data Licensing

Some tips for your application 🫡

Highlight Relevant Experience: Make sure to emphasise your experience with Power BI, ArcGIS, and water resources in your CV and cover letter. Use specific examples of projects or tasks where you successfully managed datasets or created visualisations.

Tailor Your Application: Customise your application to reflect the key responsibilities and requirements mentioned in the job description. Show how your skills align with the role's focus on environmental data management and collaboration with stakeholders.

Showcase Technical Skills: Clearly outline your technical skills related to data analysis and visualisation tools. Include any certifications or training you've completed in Power BI, ESRI ArcGIS, or similar software to strengthen your application.

Craft a Compelling Cover Letter: Write a cover letter that not only summarises your qualifications but also expresses your passion for tackling environmental challenges through data. Mention why you are interested in working with Water Resources East and how you can contribute to their mission.

How to prepare for a job interview at LinkedIn

✨Showcase Your Technical Skills

Make sure to highlight your experience with Power BI, ArcGIS, and data management during the interview. Be prepared to discuss specific projects where you've used these tools to solve problems or improve processes.

✨Prepare for Data Presentation

Since you'll be presenting data to both technical and non-technical audiences, practice explaining complex data insights in simple terms. Use examples from your past work to demonstrate your ability to communicate effectively.

✨Understand Environmental Challenges

Familiarise yourself with current environmental and water resource challenges, especially those relevant to Eastern England. Showing that you understand the context of the role will impress your interviewers.

✨Demonstrate Collaboration Skills

As the role involves liaising with various stakeholders, be ready to share examples of how you've successfully collaborated with others in previous roles. Highlight your teamwork and communication skills.

Data Analyst - PowerBi, ArcGIS & Water Resources
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  • Data Analyst - PowerBi, ArcGIS & Water Resources

    Full-Time
    28800 - 42000 £ / year (est.)

    Application deadline: 2027-08-29

  • L

    LinkedIn

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