At a Glance
- Tasks: Analyse data to support agricultural initiatives and drive impactful change.
- Company: Join a growing organisation dedicated to environmental health and rural economy.
- Benefits: Supportive culture, individual development, and opportunities for career growth.
- Why this job: Make a real difference in agriculture while developing your analytical skills.
- Qualifications: Experience in data analysis and a passion for making an impact.
- Other info: Be part of a collaborative team focused on innovation and inclusivity.
The predicted salary is between 28800 - 43200 £ per year.
This is a brilliant time to join RPA. Our organisation is growing and we are at the heart of delivering the Government's agricultural transition and making a genuine difference to the health of our environment and rural economy. We continue to make year on year improvements in performance as we become a data and intelligence-led organisation, embedding our vision of customer excellence at every level and growing our reputation to make a difference every day.
Our Data & Innovation Business Area is a multidisciplinary team including Geospatial Analysts, Data Engineers and Architects, Data Analysts and Intelligence Analysts. Together, we are in a unique position to use our specialist skills to work with the agricultural community to deliver big, impactful change, supporting high level environmental and animal welfare outcomes and the move towards net zero. This is a really exciting time to join our team as we grow and develop our ability to continuously analyse nationwide agricultural activity and provide agile, directed data and evidence-driven support to the farming community.
We have clear values that we are embedding at every level in our organisation, improving engagement and innovating to be a more inclusive, supportive, and engaging employer. Our people own our values and bring them to life in everything we do. Recent new starters have talked glowingly about how supportive and caring their new colleagues are. We are proud of this culture; how open and approachable we are and our commitment to individual development, investing in the skills of our people and creating an environment in which everyone can flourish.
The roles being advertised are to cover a range of activities from data engineering, analysis and development all will sit within our Data and Analysis team, working closely with colleagues throughout the RPA.
Responsibilities
- Provide data, analysis and insight to support the Agencies work, using the most appropriate tools and techniques.
- Explore the large relational datasets available within our Data Warehouse, understanding how data interlinks and how meaningful analysis can be produced.
- Undertake deep dives into subsets of data, utilising a range of analytical techniques to understand what the data is telling us and communicate it to customers and stakeholders.
- Develop complex code to assure system rules and business logic is working correctly and develop tactical solutions where the system isn’t functioning as needed, enabling the agency to achieve its customer service goals.
- Work collaboratively with profiling and operational colleagues to develop intelligence on specific issues, analyse findings and draw appropriate inferences.
- Explore the benefits of new technologies to bring efficiencies to the current service, and extend the scope of our analytical offering.
- Enable efficient, effective and timely decision making, by providing high quality analysis, using the most appropriate data and methodology.
- Summarise and interpret information accurately, making use of different tools and data sources, to conduct analysis of key data sets using clear and simple terms.
- Utilise a range of data and intelligence to develop and maintain performance forecasting models, to help guide RPA's resource deployment decisions.
A Disability Confident employer will generally offer an interview to any applicant that declares they have a disability and meets the minimum criteria for the job as defined by the employer. It is important to note that in certain recruitment situations such as high-volume, seasonal and high-peak times, the employer may wish to limit the overall numbers of interviews offered to both disabled people and non-disabled people.
Higher Data Analyst in Nottingham employer: Rural Payments Agency
Contact Detail:
Rural Payments Agency Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Higher Data Analyst in Nottingham
✨Tip Number 1
Network like a pro! Reach out to current employees at RPA on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role in the Data & Innovation team.
✨Tip Number 2
Prepare for your interview by brushing up on your data analysis skills. Be ready to discuss specific tools and techniques you’ve used in the past, and how they can apply to the work at RPA. Show us you’re passionate about making a difference!
✨Tip Number 3
Don’t just focus on your technical skills; highlight your soft skills too! RPA values collaboration and support, so be sure to share examples of how you’ve worked well in teams and contributed to a positive work environment.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our mission to support the agricultural community.
We think you need these skills to ace Higher Data Analyst in Nottingham
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Higher Data Analyst role. Highlight your relevant skills and experiences that align with the job description, especially those related to data analysis and insight generation.
Showcase Your Analytical Skills: In your application, don’t just list your skills; demonstrate them! Use examples from your past work where you’ve successfully analysed data and provided insights. This will show us how you can contribute to our mission of making a difference.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless necessary. We want to see that you can communicate complex data in simple terms, just like you would with our stakeholders.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, you’ll find all the details you need about the role and our organisation there!
How to prepare for a job interview at Rural Payments Agency
✨Know Your Data Tools
Familiarise yourself with the data analysis tools and techniques mentioned in the job description. Be ready to discuss your experience with relational databases and any specific software you’ve used, as this will show that you’re prepared and knowledgeable about the role.
✨Understand the Agricultural Context
Research the current trends in agriculture and how data impacts this sector. Being able to discuss how your analytical skills can contribute to environmental and animal welfare outcomes will demonstrate your genuine interest in the organisation's mission.
✨Prepare for Technical Questions
Expect to be asked about your coding skills and analytical techniques. Brush up on your ability to explain complex code and system rules clearly, as well as how you would approach problem-solving when systems aren’t functioning as needed.
✨Showcase Collaboration Skills
Since the role involves working closely with various teams, prepare examples of how you’ve successfully collaborated in the past. Highlight your communication skills and how you’ve used data to inform decision-making in a team setting.